tendustri.deu.edu.tr/wp-content/uploads/2010/07/ects...assistant professors name-surname research...

http://web.deu.edu.tr/endustri/

Established within the Faculty of Engineering in Ege University in 1972, the Industrial Engineering

Department was relocated to Ege University Faculty of Mechanical Engineering in 1978, and incorporated to

Dokuz Eylül University (DEU) Faculty of Engineering in 1983. The Department started to provide

undergraduate and postgraduate programs in 1982-1983 academic year; and the first students graduated from

the undergraduate program in 1987, and from the postgraduate program in 1985. The undergraduate teaching

language of the department is in Turkish (with elective courses in English). Graduate programs are in English.

There are 3 Professors, 5 Associate Professors, 8 Assistant Professors and 13 Research Assistants employed

full-time in the Department currently. The Department has two major tracks, namely, Industrial Engineering

(IE) and Operations Research (OR). The IE track covers topics such as production planning and inventory

control, facilities planning and design, ergonomics, design of service systems and management, and

manufacturing systems. The OR section on the other hand is interested in the areas of decision analysis,

mathematical programming, simulation, computational intelligence etc.

DEU Department of Industrial Engineering was accredited for three years (30.09.2011-2014) by MÜDEK

(Association for Evaluation and Accreditation of Engineering Programs). The department was also awarded a

European Label (EURopean ACcredited Engineer (EUR-ACE)) which is effective during the accreditation

period.

The department initiated student exchange program within the scope of Erasmus Lifelong Learning Program

with Wien Technical University/Austria and Frederich Alexander University/Germany starting from 2004-

2005 spring semester. Begininng from 2011-2012, the bilateral agreements have been arranged with

Universidad De Santiago de Compostela/Spain and Universitatea Politehnica din Bucuresti/Romania. The

incoming Erasmus students can reach all the information about the university and application process and the

city of Izmir from the following link:

http://web.deu.edu.tr/erasmus/erasmus-ing/belgeler/incoming-student.html

Department Chair: Prof.Dr. Adil BAYKASOĞLU

Assistant Chair: Asst.Prof.Dr. Serdar TAŞAN

Assistant Chair: Asst.Prof.Dr. Derya EREN AKYOL

Secretary Ms. Nazan GÜNEY

E-mail: [email protected]

Telephone: + 90.232.301 76 01

Fax: + 90.232.301 76 08

Erasmus

Coordinator: Associate Prof. Şeyda TOPALOĞLU

E-mail : [email protected]

Telephone: +90.232.301 76 11

Fax: +90.232.301 76 08

Postal Address: Dokuz Eylul University, Department of Industrial Engineering, 35160

Tınaztepe Campus / Buca- Izmir, TURKEY

http://web.deu.edu.tr/endustri/

http://web.deu.edu.tr/erasmus/erasmus-ing/belgeler/incoming-student.html

Program Titles

Undergraduate programs

DEU Industrial Engineering undergraduate program is applied as a single and integrated program. Teaching

language of the program is Turkish in general; however some of the departmental elective courses, social and

technical elective courses are taught in English. Industrial Engineering undergraduate program of the

department is a formal teaching program. Academic year is made up of two semesters, called fall and spring

semesters. Each semester is effectively made up of 14 weeks.

Double Major Program (DMP)

Our department runs double major programs with the other departments of the faculty; Textile, Computer and

Mechanical Engineering departments.

Minor Program

Started to be implemented from 2007-2008 fall semester onwards, the Minor program is intended to procure

knowledge to the students being successful in their major undergraduate program on another branch they are

interested in. Our department accepts students from all the departments of the faculty.

Postgraduate Programs

Under the same roof of DEU Institute of Sciences, the department carries out Industrial Engineering Scientific

Preparatory (Adaptation) Program, Industrial Engineering Postgraduate Program with Thesis, Non-Thesis

Industrial Engineering Postgraduate Program, Engineering Management 2nd

Education Non-Thesis

Postgraduate Program and the Industrial Engineering Doctorate Program. Information relating to the programs

is available on the web page of DEU Institute of Science Industrial Engineering Department;

http://www.fbe.deu.edu.tr/ProgramList.aspx?BOL_KOD=IND

The teaching language of the programs is in English, except the Engineering Management 2nd

Education Non-

Thesis Postgraduate Program. The teaching language in the Engineering Management 2nd

Education Non-

Thesis Postgraduate Program is English-supported Turkish.

http://www.fbe.deu.edu.tr/ProgramList.aspx?BOL_KOD=IND

ACADEMICS

Professors

Name-Surname RESEARCH INTERESTS e-mail

Dr. Mahmut BAYHAN Regression and Variance Analysis,

Response Surface Analysis

[email protected]

Dr. Nihat BADEM Regression and Variance Analysis,

Response Surface Analysis

[email protected]

Dr. Adil BAYKASOĞLU

Operations Research and Its

Applications, Manufacturing

Management and Engineering,

Computer-Integrated

Manufacturing and Design,

Computational Intelligence,

Simulation Modeling, Logistics and

Supply Chain Management, New

Product and Work Development,

Agent Theory and Distributed

Artificial Intelligence and Systems

[email protected]

Associate Professors


Dr. Latif SALUM

Petri Nets, System Analysis,

Design of Manufacturing

Systems, Databases

[email protected]

Dr. Şeyda TOPALOĞLU

Operations Research and Its

Applications in Manufacturing

and Service Systems,

Scheduling, Constraint

Programming, Productions and

Service Operations

Management, Work Systems

Analysis

[email protected]

Dr. Mehmet ÇAKMAKÇI

Quality Management, Project

Management,

Organization/Personnel, Human

Resources, Industrial Facilities,

Implementation and Expansion

of Projects

[email protected]

Dr. Bilge BİLGEN

Production-Distribution

planning, Supply Chain

Management, Mathematical

Programming, Integer

Programming

[email protected]

Dr. Hasan SELİM

Operations Research

Applications in Manufacturing

and Service Systems, Multi-

Purpose and Multi-Criteria

Decision Making, Fuzzy Set

Theory and Its Applications,

Supply Chain Management and

Logistics Management, Risk

Management, Financial Analysis

[email protected]

Assistant Professors


Dr.Özcan KILINÇCI

Applications in Production

Systems, Assembly Line

Balancing, Modern Heuristic

Methods, Inventory

Management, Total Quality

Management, Production

Operations Management

[email protected]

Dr. Gökalp YILDIZ

Simulation, Simulation

optimization, Response surface

methodology, Design of

experiments, Pull systems, Dual

resource constrained systems,

The performance measurement

of manufacturing systems,

Scheduling, Statistics

[email protected]

Dr. Gonca TUNÇEL

Petri nets, Modeling and

Performance Analysis of

Production Systems, Dynamic

Scheduling, Flexible

Manufacturing Systems

(FMSs), Risk Management,

Logistics and Supply Chain

Management

[email protected]

Dr. Serdar TAŞAN

Production Distribution

Planning, Inventory


Modeling, Decision Support

Systems, Metaheuristic

Methods, Logistics and Supply

Chain Management

[email protected]

Dr. Derya Eren AKYOL

Scheduling, Neural Networks,

Mathematical Modeling,


Management, Revenue

Management

[email protected]

Dr. Seren Özmehmet TAŞAN

Design of Production Systems,

Balancing /Scheduling of

Assembly Lines, Group

Technology/Cellular

Manufacturing Systems, Project

Management and Scheduling,

Decision Support Systems,

Evolutionary Algorithms

[email protected]

Dr. Özgür YALÇINKAYA

Response Surface

Methodology, Metamodeling,

Strategic Management,

Strategic Planning, Train

Scheduling Problem,

Evolutionary Algorithms,

Genetic Algorithms,

Organization of Industrial Eng.

Profession

[email protected]

Dr. Burcu FELEKOĞLU

Innovation Management, New

Product Development,

Technology Management

mailto:[email protected]

Research Assistants


Şebnem DEMİRKOL

Statistical Quality Control,

Optimization, Assembly Line

Balancing

[email protected]

Şener AKPINAR

Metaheuristic and Hybrid

Metaheuristic Algorithms,

Assembly Lines, Combinatorial

Optimization

[email protected]

Alper HAMZADAYI

Assembly Line Balancing,

Simulation, Metaheuristic

Algorithms

[email protected]

Şebnem YILMAZ

Economics, Investment

Analysis, Project Management,

Strategic Planning, Game

Theory

[email protected]

Gonca YUNUSOĞLU

Risk Management, Multi-

Criteria Decision Making

Techniques, Supply Chain

Management, Artificial

Intelligence Applications

[email protected]

Kemal SUBULAN

Closed-Loop Supply Chains and

Reverse Logistics, Mathematical

Modeling, Fuzzy Mathematical

Programming, Inventory

Management, Experimental

Design and Taguchi Approach,

Agent Modeling, Dynamic

Systems

[email protected]

Çağla CERGİBOZAN


Management, Metaheuristic

Algorithms, Total Quality

Management

[email protected]

Çağrı SEL

Production Planning and

Scheduling, Metaheuristics,



Modeling, Constraint

Programming

[email protected]

Özcan AYTAÇ Agent Systems, Assembly Line

Balancing, System Analysis

[email protected]

Burçin ÖZSOYDAN

Metaheuristic Algorithms,

Artificial Intelligence,

Combinatorial Optimization

[email protected]

Mustafa AVCI

Simulation,Vehicle

Routing,Metaheuristic

Algorithms

[email protected]

İlker GÖLCÜK

Multi-Criteria Decision Making,

Simulation, Mathematical

Modeling, Metaheuristic

Algorithms

[email protected]

Elif DOĞDU

Reliability Modelling, Bayesian

Statistics, Operational Research,

Stocastic Process

[email protected]

DOKUZ EYLÜL UNIVERSITY

DEPARTMENT OF INDUSTRIAL ENGINEERING

UNDERGRADUATE CURRICULUM

FIRST YEAR

FIRST SEMESTER

REQ. COURSE CODE COURSE TITLE T P/L ECTS

END 1105 COMMUNICATION IN ENGLISH 4 0 6

FİZ 1101 PHYSICS I 3 2 5

KİM 1015 CHEMISTRY 3 2 5

MAK 1011 TECHNICAL DRAWING 4 0 4

MAT 1009 MATHEMATICS I 4 0 4

ATA 1001 HISTORY OF TURKISH REPUBLIC I 2 0 2

TDL 1001 TURKISH FOR NATIVE SPEAKERS I 2 0 2

BDE 1003 GSH1003

GSM 1003 GYM/FOLK DANCING/MUSIC 2 0 2

TOTAL CREDITS 24 3 30

SECOND SEMESTER


BİL 1002 COMPUTER PROGRAMMING 2 2 3

END 1204 TECHNICAL ENGLISH 3 0 6

END 1206 ECONOMICS FOR ENGINEERS 4 0 6

FİZ 1102 PHYSICS II 3 2 5

MAT 1010 MATHEMATICS II 4 0 4

ATA 1002 HISTORY OF TURKISH REPUBLIC II 2 0 2

TDL 1002 TURKISH FOR NATIVE SPEAKERS II 2 0 2

MAK 1021 JOB SHOP TRAINING (4 WEEKS) 3 3 2


SECOND YEAR

THIRD SEMESTER


END 2303 STATISTICS I 3 0 5

END 2307 COST ANALYSIS AND FEASIBILITY 4 0 5

BIL 1002 END 2309

COMPUTER PROGRAMMING

APPLICATIONS 3 1 6

MAK 2325 ENGINEERING MECHANICS 4 0 5

MAT 2011 MATHEMATICS III 4 0 4

MMM 2011 MATERIALS INFORMATION 2 0 3

END 2000 PRODUCTION TRAINING (4 WEEKS) 2


FOURTH SEMESTER


ELK 2081

ELECTROTECHNIQUE AND ELECTRICAL

MACHINES 2 0 2

END 2303 END 2404 STATISTICS II 3 0 5

END 2408 FINANCE AND ACCOUNTING 4 0 6

END 2410

INTRODUCTION TO SYSTEMS AND

MATHEMATICAL MODELING 3 0 4

END 2412 INFORMATION SYSTEMS ANALYSIS 4 0 6

MAK 3029 MANUFACTURING PROCESSES 3 0 5

MSİ SOCIAL ELECTIVE 2 0 2


THIRD YEAR

FIFTH SEMESTER


END 3513

WORK STUDY AND HUMAN FACTORS

ENGINEERING 3 1 6

END 3515 PRODUCTION MANAGEMENT 4 0 6

END 2406 END 3517 INFORMATION SYSTEMS DESIGN 4 0 6

END 3519 OPERATIONS RESEARCH I 4 0 6

DEPARTMENTAL ELECTIVE 3 0 4

MSİ SOCIAL ELECTIVE 2 0 2


SIXTH SEMESTER


END3614 PRODUCTION PLANNING AND CONTROL 4 0 5

END 3616 SYSTEM SIMULATION 3 1 5

END 3618 QUALITY PLANNING AND CONTROL 4 0 5

END 3519 END 3620 OPERATIONS RESEARCH II 4 0 6


TECHNICAL ELECTIVE 2 0 3

END 3000 MANAGEMENT TRAINING (4 WEEKS) 2


FOURTH YEAR

SEVENTH SEMESTER


END 4703 MANAGEMENT AND ORGANIZATION 3 0 5

END 4711

FACILITY DESIGN AND MATERIAL

HANDLING SYSTEMS 4 0 6

END 4713 SEMİNAR 0 4 7

END 4715 MODERN PRODUCTION SYSTEMS 3 0 4




EIGTH SEMESTER


END 4804 LOGISTICS AND SERVICE SYSTEMS 4 0 5

END 4806

NEW PRODUCT- BUSINESS

DEVELOPMENT AND TECHNOLOGY

MANAGEMENT 4 0 5

END 4713 END 4094 GRADUATION PROJECT 0 6 12




GENERAL TOTAL CREDITS 240


DEPARTMENT OF INDUSTRIAL ENGİNEERING

3rd

AND 4th

YEAR ELECTIVE COURSES LIST

COURSE

CODE COURSE TITLE ECTS CREDIT

END 3902 Computer Applications in Industry 4 3

END 3903 Inventory Management 4 3

END 3905 Logistics Systems Design 4 3

IND 3905 Logistics Systems Design* 4 3

END 3906 Logistics Operations Management 4 3

IND 3906 Logistics Operations Management* 4 3

END 3907 Mathematical Modeling and Applications 4 3

IND 3907 Mathematical Modeling and Applications* 4 3

END 3908 Computer Integrated Manufacturing 4 3

END 3909 Industrial Marketing 4 3

END 3911 Modern Finance Techniques 4 3

END 3912 Strategic Management 4 3

END 3915 Forecasting and Time Series Analysis 4 3

IND 3915 Forecasting and Time Series Analysis* 4 3

END 3919 Applied Decision Analysis 4 3

IND 3919 Applied Decision Analysis* 4 3

END 3922 Lean Manufacturing 4 3

END 3923 Service Systems 4 3

IND 3923 Service Systems* 4 3

END 3925 Work and Business Law 4 3

END 3926 Human Resources Management 4 3

END 3928 Project Management 4 3

END 3929 Business Economics 4 3

END 3930 Knowledge Based Systems 4 3

IND 3930 Knowledge Based Systems* 4 3

END 3931 Introduction to Innovation and Entrepreneurship 4 3

IND 3931 Introduction to Innovation and Entrepreneurship* 4 3

*Courses are offered in English


DEPARTMENT OF INDUSTRIAL ENGİNEERING

4th

YEAR ELECTIVE COURSES LIST

*Courses are offered in English

COURSE

CODE COURSE TITLE ECTS CREDIT

END 4902 Supply Chain Modeling and Analysis 4 3

IND 4902 Supply Chain Modeling and Analysis* 4 3

END 4903 Discrete Optimization Models and Algorithms 4 3

IND 4903 Discrete Optimization Models and Algorithms* 4 3

END 4904 Fuzzy Logic and Industrial Applications 4 3

IND 4904 Fuzzy Logic and Industrial Applications* 4 3

END 4905 Industrial Applications of Simulation 4 3

END 4907 Modeling and Analysis of Discrete Event Systems 4 3

IND 4907 Modeling and Analysis of Discrete Event Systems* 4 3

END 4910 Selected Topics on Mathematical Programming 4 3

IND 4910 Selected Topics on Mathematical Programming* 4 3

END 4912 Principles of Sustainability 4 3

IND 4912 Principles of Sustainability* 4 3

END 4914 Enterprise Resource Planning 4 3

END 4915 Risk Management 4 3

IND 4915 Risk Management* 4 3

END 4916 Production Scheduling 4 3

IND 4916 Production Scheduling* 4 3

END 4917 Quantitative Techniques in Industrial Engineering 4 3

IND 4917 Quantitative Techniques in Industrial Engineering* 4 3

END 4918 Management Science Modeling with Spreadsheeds 4 3

IND 4918 Management Science Modeling with Spreadsheeds* 4 3

DOKUZ EYLÜL UNİVERSITY

FACULTY OF ENGINEERING

COURSE SYLLABUS FORM

*Offered by:

Industrial Engineering Department *Offered to:

All Departments of Faculty of Engineering

*Name of the Department:

Industrial Engineering

*Course Name: (Course Title)

Computer Programming

*Course Level: Under Graduate *Course Code: BİL 1002

*Year/Semester: 1/2 *Course Status: Compulsory

*Instruction Language:

Turkish *Course Teaching System:

Formal education

*Prerequisite: - Prerequisite to: END 2305

*Weekly Course Hours:

2 + 2 *Instructors:

Asst.Prof.Dr. Özgür Yalçınkaya

Theory

Application

Laboratory

*Course Coordinator: Asst.Prof.Dr. Özgür

Yalçınkaya

2 2 0 *DEU Credits: 3

*ECTS Credits: 3

*Course Objective:

The objective of this course is to give basis information on introduction to programming and algorithm

developing, and to instruct the basis of MATLAB programming language intended for solving

engineering problems.

*Learning Outcomes:

1. To prepare solution algorithms of basic engineering problems

2. To draw flow charts for solution of basic engineering problems

3. To read the code written in MATLAB

4. To translate the prepared algorithm into code by using MATLAB

5. To translate the prepared flow chart into code by using MATLAB

*Learning and Teaching Methods:/Learning and Teaching Strategies:

Board, visual presentation devices and computer laboratory will be used.

The whole taught topics will be implemented on the computer simultaneously with students.

*Assessment Methods:

If used, check as (X). Grading (%)

Semester Requirements

Mid-term exam X 50

Quiz

Homework -Assignments/

Presentation

Projects

Laboratory work

Final Exam X 50

Active participation to the lecture

Note:

Assessment Criteria:

Mid-term exam (%50) + Final Exam (%50)

*Suggested Sources for the Course:

Textbook(s): Essential MATLAB for Engineers and Scientists (4th Edition),

B.H. Hahn and D.T. Valentine, 2010.

Supplementary Book(s): Algoritma Geliştirme ve Programlamaya Giriş (3. Baskı),

F. Vatansever, 2004. (in Turkish)

References:

Materials: MATLAB Program

Course Policies and Rules:

*Contact Details for the Instructor:

Telefon: 0(232)3017627

Fax: 0(232)3017608


*Course Assistant(s) and Contact Details:

Res.Assist. Şener Akpınar – [email protected]

Res.Assist. Alper Hamzadayı – [email protected]

*Instructor Office Hours:

In application day.

*Course Content:

Week Topics: Notes:

1. Introduction, presentation of the course

2. Preparing algorithm and flow diagram (1)

3. Preparing algorithm and flow diagram (2)

4. Variables, commands, functions in MATLAB

5. Arrays and operators in MATLAB

6. Outputs, repetition loops in MATLAB

7. Decision loops in MATLAB

8. Structure plans in MATLAB

9. Mid-term exam

10. Functions in MATLAB

11. Logical operators in MATLAB

12. Matrices in MATLAB

13. Graphics in MATLAB (1)

14. Graphics in MATLAB (2)







*Offered by: EE Dept *Offered to:Industrial Eng. Dept


EE Dept. *Course Name:

(Course Title) Electrotechnique and Electrical

machines

*Course Level: Bachelor *Course Code: Elk 2081

*Year/Semester: *Course Status: Compulsory

*Instruction Language: *Course Teaching System: formal education

*Prerequisite: Prerequisite to: ----


2 *Instructors:

Asst. Prof. Dr. Metin Sabuncu

Theory Application Laboratory

*Course Coordinator: person responsible for

the entry of the course details to DEBIS.


*ECTS Credits: 2

*Course Objective: This course aims to teach basics of electrical circuits, 3 phase circuits.

Integrated circuits, magnetic circuits, transformers and electromechanical energy converters.

Also new technologies will be discussed.

*Learning Outcomes:

1. Ability to demonstrate an understanding of electrical quantities

2. Ability to demonstrate an understanding of electrical devices and theorems

3. Ability to demonstrate an understanding of present technology

4. Ability to perform machine efficiency calculations

5. Ability to choose suitable motors.

*Learning and Teaching Methods:/

Learning and Teaching Strategies:

Lecture


If needed, other assessment methods can be added to the table given below.



Mid-term exam X 50

Quiz

Homework

Assignments/

Presentation

Projects

Laboratory work

Final Exam X 50

Active participation to

the lecture

Note:

If the instructor needs to add some explanation or further note, this column can be selected from the

DEBIS menu.

Assessment Criteria

Optional, if the instructor needs to add some explanation or further note, this column can be selected

from the DEBIS menu.


Textbook(s):

Supplementary Book(s):

References:

Materials:




*Contact Details for the Instructor: [email protected]



*Course Content:

Examination dates should be specified in the course content given below. The

examination dates can be changed later.

Week Topics: Notes:

1. Introduction, basic electrical quantities

2. Resistance, admittance, Ohm Law, Kirchhoff Law

3. Inductance characteristics and circuits

4. Capacitor characteristics and circuits

5. Measurement apparatus and electrical safety

6. Midterm Exam

7. Alternating current, concept of freuqnecy and period, AC

circuits

8. Semiconductors, diodes and rectifiers

9. Transistors and their circuits

10. Transformers

11. Transformers

12. Electromechanical energy converters: Generators

13. Electromechanical energy converters: Motors

14. Induction machines




*Offered by: *Offered to:

*Name of the Department: Industrial

Engineering Department

*Course Name: Communication in English

*Course Level: Undergraduate *Course Code: END 1105

*Year/Semester: 1st Year *Course Status: Compulsory

*Instruction Language: English *Course Teaching System:

*Prerequisite: - Prerequisite to: -

*Weekly Course Hours: 3 *Instructor: Prof.Dr. Adil Baykasoglu


*Course Coordinator:

Prof.Dr. Adil Baykasoglu


*ECTS Credits: 6

*Course Objective: The objective of this course is to introduce students to effective verbal and non-

verbal communication strategies and help them develop effective writing, reading, speaking and

listening skills.

*Learning Outcomes:

LO1. Ability to get the gist of the lecture and take effective notes

LO2. Ability to identify the main points and analyze the view and the tone of the text

LO3. Ability to write (e.g. a paragraph, an essay) coherently

LO4. Ability to initiate and carry on a conversation, discussion or debate on different subjects

LO5. Ability to present yourself effectively for different purposes and to different audiences


Lecture notes will be provided using blackboard and visual presentations. Students are expected to

actively participate in lectures and class discussions.




Mid-term exam x 20

Quiz

Homework

Assignments/

Presentation

x 20

Projects

Laboratory work

Final Exam x 50


the lecture x 10

Assessment Criteria

*Suggested Sources for the Course: Lecturer notes


*Contact Details for the Instructor: Prof.Dr. Adil Baykasoglu, Phone: 0232 3017600



*Course Content:



Week Topics: Notes:

1. Introduction, importance and benefits of effective communication

2. Technical terms of the Industrial Engineering field

3. Technical terms of the Industrial Engineering field

4. Understanding and analyzing a written work

5. Effective reading

6. Preparing a written assignment, a paper or a report

7. Preparing a written assignment, a paper or a report

8. Electronic communication in English

9. Mid-term exam

10. Taking part in a conversation/discussion/debate

11. Taking part in a conversation/discussion/debate

12. Pronunciation

13. Preparing and delivering a presentation

14. Preparing and delivering a presentation







*Course Name: Technical English


*Year/Semester: 1st Year *Course Status: Compulsory

*Instruction Language: English *Course Teaching System:


*Weekly Course Hours: 3 *Instructor: Prof.Dr. Adil Baykasoglu




3 0 0 *DEU Credits:3

*ECTS Credits: 6

*Course Objective: The objective of this course is to provide students with an introduction to the

fundamentals of Industrial Engineering and the Industrial Engineering profession and familiarize them

with the department and the scope of industrial engineering applications.

*Learning Outcomes:

LO1. Ability to describe the main activities of an Industrial Engineer,

LO2. Ability to identify different fields in which Industrial Engineers work ,

LO3. Ability to recognize some of the practical industrial engineering problems ,

LO4. Ability to identify the types of technical and professional skills and tools that are needed to

address these problems,

LO5. Ability to use systems thinking when solving problems.


Different members of faculty will deliver this course. Each week the relevant member of faculty will

deliver the lecture using blackboard and/or visual presentations.




Mid-term exam x 25

Quiz

Homework

Assignments/

Presentation

x 25

Projects

Laboratory work

Final Exam x 50


the lecture

Assessment Criteria


Lecturer notes





*Course Content:



Week Topics: Notes:

1. Introduction to Industrial Engineering

2. Systems thinking

3. Information systems

4. Production systems

5. Production management

6. Work and time study

7. Facilities planning and design

8. Cost accounting and finance

9. Total quality management

10. Service systems

11. Mid-term

12. Supply chain management

13. Operations research

14. New product and business development







*Course Name: Economics for Engineers

(Course Title)


*Year/Semester: 1/Spring *Course Status: Compulsory

*Instruction Language: Turkish *Course Teaching System:


*Weekly Course Hours: 4 *Instructor:

Assoc.Prof.Dr. Hasan Selim





*ECTS Credits: 6

*Course Objective: The objective of this course is to introduce engineering students the basic

concepts and principles of the economy and provide them the basic knowledge about economics.

*Learning Outcomes:

LO1. Ability to define basic concepts of the economy

LO2. Ability to interpret economic structures and developments

LO3. Ability to analyze consumer and producer behaviours

LO4. Ability to analyze market balance

LO5. Ability to evaluate the way economic systems work as a whole


Lecture notes will be provided using blackboard and visual presentations.




Mid-term exam x 30

Quiz

Homework

Assignments/

Presentation

x 20

Projects

Laboratory work

Final Exam x 50


the lecture

Assessment Criteria


Textbook(s):

David Begg, Stanley Fischer and Rudiger Dornbusch (2000) Economics, London : McGraw-Hill,

Tümay ERTEK (2009) Temel Ekonomi (Basindan Orneklerle), Beta Yay. 3. Baskı, İstanbul


*Contact Details for the Instructor: Assoc.Prof.Dr. Hasan Selim , Phone: 0232 3017618



*Course Content:



Week Topics: Notes:

1. Introducing the course, basic problems of the economy, basic

concepts and issues of economics

2. Tools of economic analysis

3. Structure of supply and demand

4. Supply-demand and equilibrium

5. Market mechanism and the role of government

6. Price theory

7. Production and cost theory

8. Market structure and firm balance

9. Analyses of factor markets

10. Mid-term exam

11. National income

12. Economic growth and development

13. Basic macro economic problems and political tools

14. International Economy






Industrial Engineering *Course Name:

Production Training

*Course Level: Bachelor degree *Course Code: END 2000

*Year/Semester: 4 *Course Status: Compulsory

*Instruction Language: English *Course Teaching System: Formal education

*Prerequisite: none Prerequisite to: none


-If needed, items can be added to the table given

below.

*Instructors:

Theory

0

Application

0

Laboratory

0 *Course Coordinator

Assoc. Prof. Dr. Bilge Bilgen

*DEU Credits: 2

*ECTS Credits: 2

*Course Objective: To apply academic knowledge in a professional settings

*Learning Outcomes:

1. An ability to strengthen and increase the retention of the conceptual knowledge gained in industrial

engineering field of study through the practical implementations in the facility

2. An ability to use and apply cognitive (logical, intuitional and creative thinking) and practical (the

use of hands, procedures, tools and equipments) skills gained in his/her field of study to solve the

problems he/she encounters in the facility.

3. An ability use industrial engineering problem solving tools and solution techniques (mathematical

programming, simulation) to solve the problems in the facility.

4. An ability to contribute to the solutions of the problems encountered in the facility by evaluating the

processes handled and managed as whole in the field of study.

*Learning and Teaching Methods:

Self study




Mid-term exam (oral

exam) x 50

Quiz

Homework

Assignments/

Presentation

Projects x 50

Laboratory work

Final Exam


the lecture

Assessment Criteria





*Course Content:



Week Topics: Notes:

1. Production Training




5.

6.

7.

8.

9.

10.

11.

12.

13.

14.




*Offered by: Industrial Engineering *Offered to: Industrial Engineering



*Course Name:

Statistics I

*Course Level: B.Sc. *Course Code END 2303

*Year/Semester: 2 / Fall *Course Status: Compulsory



*Weekly Course Hours: 3

*Instructors:

Assist.Prof.Dr. Seren Özmehmet Taşan





*ECTS Credits: 5

*Course Objective:

To obtain an understanding and ability to use basic statistics, random variables and descriptive

statistics.

*Learning Outcomes:

LO1. Explain the basic elements, principles and techniques of statistics with terminology.

LO2. Explain elements of probability concept and probability distributions

LO3. State and explain statistics related to random variables

LO4. State and explain relevant figures and graphs for various data sets

LO5. Analyze and interpret data sets with descriptive statistics

LO6. Explain the usage of Minitab software for descriptive statistical analysis

*Learning and Teaching Methods:/ Learning and Teaching Strategies:

Instructor notes will be given using blackboard and visual presentations. Additionally, it will be

futher supported by computer lab work.




Mid-term exam 1 x 35

Mid-term exam 2

Quiz

Homework

Assignments/

Presentation

Projects x 15

Laboratory work

Final Exam x 50


the lecture

Assessment Criteria


Textbooks:

D. C. Montgomery and G.C. Runger, (1999). Applied Statistics and Probability for Engineers,

2nd Edition. John Wiley and Sons, USA.

Reference books:

R. E. Walpole, R. H. Myers, S. L. Myers, (1998). Probability and Statistics for Engineers and

Scientists, 6th Edition. Prentice Hall, USA.

Fikri Akdeniz. (2010). Olasılık ve İstatistik, 15.Baskı. Nobel Yayın Dağıtım, Adana.



Tel: 301 76 22, e-mail: [email protected]


-


*Course Content:



Week Topics: Notes

1. Introduction to Statistics I and Ethics

2. Probability Rules and Random Variables

3. Discrete Random Variables: Probability Density Function,

Expected Value and Variance

4. Continuous Random Variables: Probability Density Function,

Expected Value and Variance

5. Bivariate Random Variables I: Probability Density Function,

Marginal Functions, Expected Value and Variance

6. Bivariate Random Variables II: Independence, Conditional Density,

Covariance and Correlation

7. Special Discrete Random Variables I: Discrete Uniform Dist.,

Bernoulli Dist., Binomial Dist., Negative Binomial Dist.

8. Special Discrete Random Variables II: Hypergeometric Dist.,

Poisson Dist.

9. Mid-Term Exam

10. Special Continuous Random Variables I: Continuous Uniform Dist.,

Gamma Dist., Exponential Dist.

11. Special Continuous Random Variables II: Normal Dist., Chi-square

Dist., t Dist., F Dist.

12. Relationship between Population and Sampling

13. Random Sampling, Histograms, Sample statistics

14. Statistical calculations with Minitab software




*Offered by:

Industrial Engineering Department *Offered to:

Industrial Engineering Department



*Course Name: (Course Title)

Applications of Computer Programming

*Course Level: Under Graduate *Course Code:END 2305


*Instruction Language: Turkish *Course Teaching System: Formal education

*Prerequisite:

BİL 1002 Computer Programming Prerequisite to:

-


3 + 1 *Instructors:

Asst.Prof.Dr. Özgür Yalçınkaya

Theory

Application

Laboratory

*Course Coordinator: Asst.Prof.Dr. Özgür

Yalçınkaya

3 1 0 *DEU Credits: 3.5

*ECTS Credits: 6

*Course Objective:

The objective of this course is to teach MATLAB programming language intended for solving

engineering problems.

*Learning Outcomes:

1. To prepare solution algorithms for engineering problems

2. To draw flow charts for solution of engineering problems

3. To translate the prepared algorithm into code by using MATLAB

4. To translate the prepared flow chart into code by using MATLAB

5. To visually present the outputs generated by program

6. To design user interfaces by using MATLAB


Board, visual presentation devices and computer laboratory will be used.

The whole taught topics will be implemented on the computer simultaneously with students.




Mid-term exam X 50

Quiz

Homework Assignments/

Presentation

Projects

Laboratory work

Final Exam X 50

Active participation to the

lecture

Note:

Assessment Criteria:

Mid-term exam (%50) + Final Exam (%50)


Textbook(s): Essential MATLAB for Engineers and Scientists (4th Edition),

B.H. Hahn and D.T. Valentine, 2010.

Supplementary Book(s): Algoritma Geliştirme ve Programlamaya Giriş (3. Baskı),

F. Vatansever, 2004. (in Turkish)

References:

Materials: MATLAB Program



Telefon: 0(232)3017627

Fax: 0(232)3017608



Res.Assist. Şener Akpınar – [email protected]

Res.Assist. Alper Hamzadayı – [email protected]

*Instructor Office Hours: In application day.

*Course Content:

Week Topics: Notes:

1. Introduction, presentation of the course

2. Loops in MATLAB

3. Functions in MATLAB (1)

4. Functions in MATLAB (2)

5. Object oriented programming in MATLAB (1)




9. Mid-term exam

10. User interfaces in MATLAB

11. Solution to engineering problems by MATLAB (1)













Cost Analysis and Feasibility




*Prerequisite: -- Prerequisite to: --


*Instructors:

Assoc.Prof. Dr. Mehmet ÇAKMAKÇI

Assoc.Prof. Dr. Hasan SELİM



Assoc.Prof. Dr. Mehmet ÇAKMAKÇI


*ECTS Credits: 5

*Course Objective:

The objective of this course is to provide students with an understanding of the material necessary to

analyze cost behavior, and costing systems and their practices in different organizations with different

nature of production.

*Learning Outcomes:

LO1: Achieve an understanding of cost terms, concepts, and classifications

LO2: Be able to design different costing systems

LO3: Be able to analyze cost behavior

LO4: Be able to analyze cost-volume-profit relationships

LO5: Be able to execute variable costing and activity-based costing


Lectures, Homework and Class discussions




Mid-term exam X 35

Quiz

Homework

Assignments/

Presentation

X 15

Projects

Laboratory work

Final Exam X 50


the lecture

Note:

Assessment Criteria


Textbook(s):

Ray H. Garrison, Eric W. Noreen, Peter C. Brewer, Managerial Accounting, McGraw Hill


Osman Altuğ (2006). Maliyet Muhasebesi, Türkmen Kitabevi

Feryal Orhon Basık (2012) Rekabet Stratejisinde Maliyet Yönetimi, Türkmen Kitabevi



[email protected]; [email protected]



*Course Content:

Week Topics: Notes:

1. Feasibility and Cost terms, Concepts and Classifications

2. Feasibility and Cost terms, Concepts and Classifications

3. Job-order costing

4. Job-order costing

5. Process costing

6. Process costing

7. Cost behavior: Analysis and use

8. Cost behavior: Analysis and use

9. Cost-volume-profit relationship

10. Midterm exam

11. Variable costing

12. Variable costing

13. Activity-based costing

14. Activity-based costing







*Course Name:

Statistics II


*Year/Semester: 2 / Spring *Course Status: Compulsory


*Prerequisite: END 2303 Prerequisite to: -


*Instructors:






*ECTS Credits: 5

*Course Objective:

To obtain an understanding and ability to use basic concepts of inferential statistics such as parameter

estimation, hypothesis testing, one and two factor experiments, simple linear regression and

correlation, multiple linear regression and nonparametric statistical analysis.

*Learning Outcomes:

LO1. State, explain and interpret relevant inferential statistics for various data sets

LO2. Explain parameter estimation for point and confidence intervals

LO3. State and explain statistical hypothesis tests

LO4. Explain variance analysis

LO5. State and explain regression analysis

LO6. Explain the usage of Minitab software for inferential statistical



futher supported by computer lab work.





Mid-term exam 2

Quiz

Homework

Assignments/

Presentation

x 15

Projects

Laboratory work

Final Exam x 50


the lecture

Assessment Criteria


Textbooks:

D. C. Montgomery and G.C. Runger, (1999). Applied Statistics and Probability for Engineers,

2nd Edition. John Wiley and Sons, USA.

Reference books:

R. E. Walpole, R. H. Myers, S. L. Myers, (1998). Probability and Statistics for Engineers and

Scientists, 6th Edition. Prentice Hall, USA.

Fikri Akdeniz. (2010). Olasılık ve İstatistik, 15.Baskı. Nobel Yayın Dağıtım, Adana.





-


*Course Content:



Week Topics: Notes

1. Introduction to Statistics II and Ethics

2. Parameter estimation I; point estimation

3. Parameter estimation II; confidence interval estimation-Mean and

difference of means

4. Parameter estimation III; confidence interval estimation-Variance,

variance ratios, ratio and difference of ratios, statistical calculations

with Minitab software

5. Hypothesis testing I: Mean and difference of means

6. Hypothesis testing II: Variance, ratio and difference of ratios,

statistical calculations with Minitab software

7. One Factor experimental design and analysis I

8. One Factor experimental design and analysis II, statistical

calculations with Minitab software

9. Mid-Term Exam

10. Two Factor experimental design and analysis I

11. Two Factor experimental design and analysis II

12. Simple linear regression and correlation

13. Multiple linear regression and polynomial regression, statistical

calculations with Minitab software

14. Nonparametric statistical analysis







*Course Name:

Information System Analysis






*Instructors:

Assoc.Prof.Dr. Latif SALUM

Assist.Prof.Dr. Ali Serdar TAŞAN





*ECTS Credits:6

*Course Objective:

To give a complete and thorough vision of what information system analysis is and the ability of

analyzing an information system, by explaining the fundamental elements of information systems.

*Learning Outcomes:

LO1. Ability to use the fundamental concepts related to information systems

LO2. Ability to define the components of information systems

LO3. Ability to apply system analysis concept

LO4. Ability to discover the information system requirements

LO5. To analysis the information systems



further supported by application studies.






Quiz

Homework

Assignments/

Presentation

Projects

Laboratory work

Final Exam x 50


the lecture

Assessment Criteria

Midterm 1 (25%) + Midterm 2 (25%) + Final Exam (50%)


Textbooks:

Systems Analysis and Design Methods,J. L. Whitten,L. D. Bentley,K.C. Dittman, McGraw-

Hill,0-07-121521-2,,2004

Course Policies and Rules: -----




-

*Instructor Office Hours: -----

*Course Content:



Week Topics: Notes

1. Systems Concept and Information System Building Blocks

2. Information System Development

3. Systems Analysis

4. Systems Analysis

5. Requirements Discovery

6. Data Modeling and Analysis

7. Mid-Term Exam



10. Process Modeling

11. Process Modeling

12. Mid-Term Exam

13. Feasibility Analysis and the System Proposal

14. Object-Oriented Analysis and Modeling







*Course Name:

Finance and Accounting

*Course Level: B.Sc. *Course Code : END 2408

*Year/Semester: 2/SPRING *Course Status: Compulsory




*Instructors:






*ECTS Credits: 6

*Course Objective:

To obtain an understanding and ability to use basic business financial management concepts and tools

of analysis such as valuation, risk-return relationships, financial statement analysis, capital budgeting,

cost of capital, and working capital management. To become familiar with basic accounting concepts

and their use in financial statement analysis

*Learning Outcomes:

LO1. Explain how domestic financial markets work and how firms obtain funds in the financial

markets and at what cost.

LO2. State and explain what determines the value of a firm’s securities and how management can

influence these values.

LO3. Analyze a firm’s performance to determine its strengths and weaknesses, and use financial

analysis to make suggestions for improving performance.

LO4. Forecast a firm’s financial needs.

LO5. State and explain basic accounting concepts and their use in financial statement analysis


Lectures and Class discussions




Mid-term exam 1 X 50

Mid-term exam 2

Quiz

Homework

Assignments/

Presentation

Projects

Laboratory work

Final Exam X 50


the lecture

Assessment Criteria


Textbooks:

Finansal Yönetim Teori ve Çözümlü Problemler. Osman OKKA. Nobel, 2010

İşletme Finansının Temelleri. Richard A. BREALEY, Stewart C. MYERS, Alan J. MARCUS.

McGraw-Hill-Literatür,975-8431-56-0, İstanbul, 2007





-


*Course Content:

Week Topics: Notes

1. Introduction to Financial Management

2. Time value of money, and risk, Financial decisions process

3. Finance sector, Financial assets, Financial markets

4. Cost of money, Interest rates and Its determinants

5. Basic Financial Tables: Income statement, Balance sheet

6. Basic Financial Tables: Net cash flow statement

7. Depreciation and Taxes.

8. Financial Analysis

9. Financial Analysis

10. Midterm exam

11. Financial Planning and Budgeting.

12. Risk-Getiri İlişkileri ve Portföy kuramı

13. Basic accounting concepts and their use in financial statement analysis

14. Basic accounting concepts and their use in financial statement analysis





*Name of the Department: *Course Name:

(Course Title) Introduction to Systems and

Mathematical Modeling

*Course Level: *Course Code: END 2410

*Year/Semester: 3/ Fall *Course Status: Compulsory


*Prerequisite: Prerequisite to:


*Instructors: Assoc.Prof. Latif Salum





*ECTS Credits: 4

*Course Objective: The aim of the course is to teach how to model and analyze industrial

engineering systems by making use of discrete mathematical tools.

*Learning Outcomes:

1. Describe the basic tools of Discrete Mathematics

2. Model and analyze System/Industrial Engineering applications via these basic tools

3. Describe basic steps of modelling and analysis

4. Demonstrate modelling of natural language with propositional and predicate logic

5. Evaluate the cost of analysis


Learning and Teaching Strategies: Course will be taught in the class





Mid-term exam x 30

Quiz

Homework

Assignments/

Presentation

x 20

Projects

Laboratory work

Final Exam x 50


the lecture

Note:


DEBIS menu.

Assessment Criteria




Textbook(s): Discrete Mathematics and Its Applications, Rosen, KH

Supplementary Book(s): Systems Engineering and Architecting: Creating Formal Requirements,

Bellagamba, L.







*Course Content:



Week Topics: Notes: Optional, if

the instructor needs

to add some

explanation, this

column can be

selected from the

DEBIS menu.

1. Introduction to systems thinking

2. Problem definition and requirements engineering

3. Systems modeling using diagrams and mathematics

4. Introduction to propositional logic

5. Soundness and completeness

6. Sets, relations and functions

7. Exam

8. Introduction to predicate logic

9. Interpretation of predicate logic based on sets

10. Induction and recursion

11. Graphs

12. Exam

13. Automata theory

14. Complexity







Management Training

*Course Level: Bachelor degree *Course Code: END 3000

*Year/Semester: 6 *Course Status: Compulsory

*Instruction Language: English *Course Teaching System: Formal education




below.

*Instructors:

Theory

Application

Laboratory

*Course Coordinator



*ECTS Credits: 2

*Course Objective: To apply academic knowledge in a professional settings

*Learning Outcomes:

1. An ability to model a real-life system via mathematical programming and solve the mentioned

problem via a package program such as QS or Lindo. Also, enable to interpret the results.

2. An ability to simulate a manufacturing or service process; and compare the results of several

alternatives of the current system.

3. An ability to analyze a manufacturing or service system by constructing material and information

flowcharts.

4. An ability to be informed about maintenance planning system in facility.

*Learning and Teaching Methods: Self study




Mid-term exam (oral

exam) x 50

Quiz

Homework

Assignments/

Presentation

Projects x 50

Laboratory work

Final Exam


the lecture

Assessment Criteria





*Course Content:



Week Topics: Notes:

1. Management Training




5.

6.

7.

8.

9.

10.

11.

12.

13.

14.






Engineering

*Course Name:

Work Study and Human Factors Engineering

*Course Level: Bachelor *Course Code: END 3513


*Instruction Language: Turkish *Course Teaching System: formal education



4

*Instructors: Assoc. Prof. Dr. Bilge Bilgen

Theory

Application

Laboratory

Course Coordinator:


3 1 0 *DEU Credits: 3,5

*ECTS Credits: 6

*Course Objective:

The objective of this course is to provide students with a level of expertise in work measurement and

design which will allow them to enhance the productivity of products and processes. Provide industrial

engineers with additional tools to better design jobs and the workplace, in terms of productivity while

maintaining the health and safety of the worker.

*Learning Outcomes:

1. Ability to understand the relationship between productivity and work

analysis and design

2. Ability to investigate a specific operation with the goal of improving

it and then implementing any suggested changes to the process or the

layout

3. Ability to use various techniques, tools, equipments, and instruments

needed to carry out motion and time study

4. Ability to use other methods for measuring work such as

Predetermined time systems, and work sampling.

5. Recognize to understand the main concepts of human factors engineering



The presentations which are prepared by using books, articles and proceedings as well as class board

will be used in the scope of the course programme.





Mid-term exam X 35

Quiz

Homework

Assignments/

Presentation

X 15

Projects

Laboratory work

Final Exam X 50


the lecture

Assessment Criteria


Textbook(s): Niebel’s Methods, Standards, and Work Design, 2009, Mc Graw Hill, Freivalds A.,

Niebel B.

Supplementary Book(s): Work Systems and the Methods, Measurement, and Management of Work,

2007, Groover, M. P.

Motion and Time Study for Lean Manufacturing, 2002, Prentice Hall, F. E. Meyers, J. R. Stewart.

References:

Materials:


*Contact Details for the Instructor: e-mail: [email protected]


*Instructor Office Hours: Thursday 14:00-16:00

*Course Content:



Week Topics: Notes:

1. Introduction

2. Problem solving tools

3. Line balancing

4. Motion Study and work design

5. The importance and uses of motion and time study

6. Time study; Time study equipment; Making the time study

7. Performance rating and allowances

8. Work sampling

9. Mid Term Exam

10. Predetermined Time Systems

11. Ergonomics and human factors in the work place

12. Ergonomics and human factors in the work place

13. Term project presentations

14. Term project presentations




*Offered by: Department of Industrial

Engineering

*Offered to: Department of Industrial

Engineering

*Name of the Department: Department of


*Course Name: Production Management

(Course Title)


*Year/Semester: 3/Fall *Course Status: Compulsory


*Prerequisite: None Prerequisite to: None


*Instructors:

Assistant Professor Gökalp Yıldız

Assistant Professor Derya Eren Akyol


*Course Coordinator: Assistant Professor Gökalp Yıldız


*ECTS Credits: 6

*Course Objective:

The objective of this course is to introduce students main production management concepts and

techniques.

*Learning Outcomes:

1. To be able to explain the major objectives of a firm

2. To be able to describe the differences between various production philosophies

3. To be able to define inventory control concepts

4. To be able to balance assembly lines

5. To be able to explain supply chain management

*Learning and Teaching Methods Instructor notes will be given using blackboard and visual presentations.






Mid-term exam X 30

Quiz

Homework

Assignments/

Presentation

Projects X 20

Laboratory work

Final Exam X 50


the lecture

Note:


DEBIS menu.

Assessment Criteria




Textbook(s):

Nahmias, Steven, 2009 (6e), Production and Operations Analysis, Mc. Graw-Hill, Inc.





[email protected], Tel. +90-232-3017614



*Instructor Office Hours: Wednesday and Thursday afternoons

*Course Content:





to add some

explanation, this

column can be

selected from the

DEBIS menu.

1. Introduction to Production Management

2. Productivity, Competition and Strategy

3. Push and Pull Systems

4. ERP-MRPII-MRP

5. Supply Chain Management

6. Quality Management

7. Reliability

8. Inventory Control Subject to Known Demand(1)

9. Inventory Control Subject to Known Demand(2)

10. Midterm

11. Inventory Control Subject to Uncertain Demand(1)

12. Inventory Control Subject to Uncertain Demand(2)

13. Assembly Line Balancing(1)

14. Assembly Line Balancing(2)







*Course Name:

Information System Design




*Prerequisite: END 2406 Prerequisite to: -


*Instructors:

Assoc.Prof.Dr. Latif SALUM





4 - - *DEU Credits: 4

*ECTS Credits:6

*Course Objective:

To give the students ability of designing information systems according to the requirements.

*Learning Outcomes:

LO1. Ability to apply systems design concept

LO2. Ability to define the components of information systems with their functionality

LO3. Ability to design application for information systems

LO4. Ability to design database.

LO5. Implementation of the information systems



further supported by application studies.






Quiz

Homework

Assignments/

Presentation

Projects

Laboratory work

Final Exam x 50


the lecture

Assessment Criteria

Midterm 1 (25%) + Midterm 2 (25%) + Final Exam (50%)


Textbooks:

Systems Analysis and Design Methods,J. L. Whitten,L. D. Bentley,K.C. Dittman, McGraw-

Hill,0-07-121521-2,,2004





-

*Instructor Office Hours: -----

*Course Content:



Week Topics: Notes

1. Systems Design

2. Systems Design

3. Application Architecture and Modeling



6. Database Design

7. Mid-Term Exam

8. Database Design

9. Database Design

10. Output Design and Prototyping

11. Input Design and Prototyping

12. Mid-Term Exam

13. User Interface Design

14. Object-Oriented Design




*Offered by: Faculty of Engineering *Offered to:



*Course Name: Operations Research I

(Course Title)


*Year/Semester: 3.Year/5.Semester *Course Status: Compulsory


*Prerequisite: Prerequisite to: IND 3620


*Instructors: Prof.Dr. Adil Baykasoğlu

Assoc.Prof.Dr. Şeyda Topaloğlu






*ECTS Credits: 6

*Course Objective: This course is for students new to the topics of Operations Research. The course

emphasizes the application of Operations Research for solving business problems. Students will

develop problem modeling and solving skills and learn how to make intelligent business decisions

from the point of view of optimization.

*Learning Outcomes:

1. An ability to know the application areas of Operations Research and to identify the problems from

real life

2. An ability to develop linear and integer programming models for the solution of engineering

problems

3. An ability to solve linear programming models using the simplex algorithm

4. An ability to solve integer programming models using the branch-and-bound method

5. An ability to perform sensitivity analysis

6. An ability to use optimization packages LINDO, LINGO and Excel Solver


Learning and Teaching Strategies: The presentations which are prepared by using books, articles

and proceedings as well as class board will be used in the scope of the course programme.





Mid-term exam x 25

Quiz

Homework

Assignments/

Presentation

Projects x 25

Laboratory work

Final Exam x 50


the lecture


Textbook(s):

Winston W.L. (2004). Operations Research: Applications and Algorithms, 4th edition, Brooks/Cole

– CENGAGE Learning

Supplementary Book(s): Hillier F.S., Lieberman G.J. (2005). Introduction to Operations Research, McGraw-Hill Inc.

Taha H.A. (2003). Operations Research: An Introduction, Pearson Education Inc.





Prof.Dr. Adil Baykasoğlu, [email protected]

Assoc.Prof.Dr. Şeyda Topaloğlu, [email protected]


Res.Ass. Alper Hamzadayı, [email protected]

Res.Ass. Kemal Subulan, [email protected]


Prof.Dr. Adil Baykasoğlu, Afternoons on Wednesday and Thursday

Assoc.Prof.Dr. Şeyda Topaloğlu, Afternoons on Monday and Tuesday

*Course Content:





to add some

explanation, this

column can be

selected from the

DEBIS menu.

1. Introduction to Operations Research and Linear Programming

2. Linear Programming, Model Development

3. Model Development, Graphical Solution

4. Graphical Solution

5. Simplex Algorithm



8. Sensitivity Analysis and Duality

9. Sensitivity Analysis and Duality

10. Midterm Exam

11. Transportation, Transshipment and Assignment Problems

12. Transportation, Transshipment and Assignment Problems

13. Integer Programming

14. Integer Programming







Engineering


Engineering



*Course Name: Production Planning and

Control

(Course Title)






*Instructors:






*ECTS Credits: 5

*Course Objective:

The objective of this course is to introduce students demand forecasting, capacity planning, aggregate

production planning, material requirements planning and scheduling concepts and techniques in the

production planning and control field.

*Learning Outcomes:

6. To be able to define demand forecasting methods

7. To be able to define the capacity concept

8. To be able to prepare a production plan

9. To be able to define the material requirements planning concept

10. To be able to prepare a production schedule







Mid-term exam 30

Quiz

Homework

Assignments/

Presentation

Projects 20

Laboratory work

Final Exam 50


the lecture

Note:


DEBIS menu.

Assessment Criteria




Textbook(s):

Nahmias, Steven, 2009 (6e), Production and Operations Analysis, Mc. Graw-Hill, Inc.








*Course Content:





to add some

explanation, this

column can be

selected from the

DEBIS menu.

1. Introduction

2. Demand forecasting (1)

3. Demand forecasting (2)

4. Capacity Planning (1)

5. Capacity Planning (2)

6. Aggregate Production Planning(1)

7. Aggregate Production Planning(2)

8. Midterm

9. Material Requirements Planning (1)



12. Scheduling

13. Scheduling

14. Scheduling







Engineering


Engineering



*Course Name: System Simulation

(Course Title)






*Instructors:


Assistant Professor Özgür Yalçınkaya



3 1 0 *DEU Credits:3.5

*ECTS Credits: 5

*Course Objective:

The objective of this course is to introduce students fundamental concepts in discrete event system

simulation, related statistics, and basic modelling concepts in a typical simulation software.

*Learning Outcomes:

11. To be able to define components of a system

12. To be able to define basic statistics in order to carry out a typical simulation study

13. To be able to develop a simulation model of a system

14. To be able to analyze the input/output data

15. To be able to use ARENA simulation software

*Learning and Teaching Methods Instructor notes will be given using blackboard and visual presentations. In addition to this, laboratory

studies will be carried out and group projects will be given.





Mid-term exam x 25

Quiz

Homework

Assignments/

Presentation

x 10

Projects x 15

Laboratory work

Final Exam x 50


the lecture

Note:


DEBIS menu.

Assessment Criteria




Pegden, C. Dennis, Shannon, Robert E., Sadowski, Randall P., 1995, Introduction to Simulation Using

SIMAN, Mc. Graw-Hill, Inc.

Kelton, W. David, Sadowski, Randall P., Sturrock, David T., 2007, Simulation With ARENA,

McGraw-Hill.

Rossetti, Manuel D., 2009, Simulation Modeling and ARENA, Wiley.

Banks J., Carson J., Nelson B., Nicol D., 2001, Discrete-Event System Simulation, Prentice Hall.






[email protected] Tel. +90-232-3017627



*Course Content:





to add some

explanation, this

column can be

selected from the

DEBIS menu.

1. Introduction to simulation

2. Monte Carlo simulation (1)

3. Monte Carlo simulation (2)

4. Selecting input probability distributions

5. Random number generation

6. Random variate generation

7. Mid term

8. Output analysis (1)

9. Output analysis (2)

10. Simulation modelling with ARENA (1)




14. Variance reduction techniques







Engineering

*Course Name: Quality Planning and Control




*Prerequisite: None Prerequisite to:


*Instructors:

Assoc.Prof.Dr. Mehmet ÇAKMAKÇI

Assist. Prof. Dr. Özcan KILINÇCI



Assist. Prof. Dr. Özcan KILINÇCI


*ECTS Credits: 5

*Course Objective: This course aims to provide basic knowledge of methods required for quality

improvement in manufacturing and service operations.

*Learning Outcomes: The students who succeeded in this course;

1. Will be able to follow steps of statistical process control for quality improvement

2. Will be able to apply the appropriate control chart technique for the process

3. Will be able to use acceptance sampling procedures

4. Will be able to apply the experimental design for quality improvement

5. Will be able to know basic principles of Total Quality Management and Six Sigma

6. Will be able to use software for analyzing the quality problems.


Learning and Teaching Strategies: Lecture / Question-Answer / Discussion / Problem solving /

Case study / Group study




Mid-term exam X 30

Quiz

Homework

Assignments/

Presentation

Projects X 20

Laboratory work

Final Exam X 50


the lecture

Assessment Criteria


1. D.C. Montgomery, “Introduction to Statistical Quality Control”, John Wiley and Sons Co., 6th

Edition, (2009).

2. R. E. Devor, T. Chang, J. W. Sutherland, “Statistical Quality Design and Control”, Pearson

Prentice Hall, Second Edition, (2007)

3. E. L. Grant, R. S. Leavenworth, “Statistical Quality Control”, McGraw-Hill, Seventh Edition

(1999)


*Contact Details for the Instructor: Assist. Prof. Dr. Özcan KILINÇCI

*Course Assistant(s) and Contact Details: [email protected]


*Course Content:



Week Topics: Notes:

1. Basic knowledge of Quality, Quality Control and Planning

2. Statistical Process Control, Principles of control charts

3. Control charts for variables (X average, R, S)

4. Control charts for variables (MR), Control charts for attributes (p)

5. Control charts for attributes (c, u, special conditions)

6. Process capability, Gauge and measurement system capability

7. EWMA, CuSum control charts

8. Midterm

9. Acceptance sampling procedures for attributes

10. Acceptance sampling procedures for variables

11. Experimental Design

12. Experimental Design

13. Total Quality Management, Six Sigma

14. Project presentations







*Course Name: Operations Research II

(Course Title)




*Prerequisite: END 3519 Prerequisite to:


*Instructors: Prof.Dr. Adil Baykasoğlu







*ECTS Credits: 6

*Course Objective: In this course, game theory, decision analysis, network models, queueing

systems, Markov chains, non-linear programming, multi-criteria decision making and goal

programming topics will be discussed so that the students are aimed to be capable of developing

mathematical models concerning these topics and using special solution methods to find the best

solutions to these models.

*Learning Outcomes:

1. An ability to know the application areas of Operations Research and to identify the problems from

real life

2. An ability to develop network models and non-linear programming models for the solution of

engineering problems and solve them

3. An ability to use game theory and decision making techniques

4. An ability to identify queueing models and apply them for the solution of a variety of sample

problems

5. An ability to identify stochastic processes and Markov chains and apply them for the solution of a

variety of sample problems

6. An ability to use multi-criteria decision techniques and goal programming methods








Mid-term exam x 25

Quiz

Homework

Assignments/

Presentation

Projects x 25

Laboratory work

Final Exam x 50


the lecture

Note:


DEBIS menu.

Assessment Criteria




Textbook(s):

Winston W.L. (2004). Operations Research: Applications and Algorithms, 4th edition, Brooks/Cole

– CENGAGE Learning

Supplementary Book(s): Hillier F.S., Lieberman G.J. (2005). Introduction to Operations Research, McGraw-Hill Inc.

Taha H.A. (2003). Operations Research: An Introduction, Pearson Education Inc.





Prof.Dr. Adil Baykasoğlu, [email protected]

Assoc.Prof.Dr. Şeyda Topaloğlu, [email protected]


Res.Ass. Alper Hamzadayı, [email protected]

Res.Ass. Kemal Subulan, [email protected]


Prof.Dr. Adil Baykasoğlu, Afternoons on Wednesday and Thursday


*Course Content:





to add some

explanation, this

column can be

selected from the

DEBIS menu.

1. Game Theory

2. Decision Making Under Uncertainty and Risk – Utility Theory

3. Decision Making Under Uncertainty and Risk – Utility Theory

4. Network Models

5. Network Models

6. Queueing Systems

7. Queueing Systems

8. Markov Chains

9. Markov Chains

10. Midterm Exam

11. Non-Linear Programming

12. Non-Linear Programming

13. Multi-Criteria Decision Making Techniques

14. Multi-Criteria Decision Making Techniques – Goal Programming







Engineering


Engineering



*Course Name: Computer applications in

industry

(Course Title)


*Year/Semester: *Course Status: Elective




*Instructors:

Murat IHLAMUR



Assistant Professor A.Serdar TAŞAN


*ECTS Credits: 4

*Course Objective:

Providing Information About Computer Programs and Applications to Students with Different

Production, Management System and Occupational Structures Used in Industry by giving the

necessary theoretical and practical knowledge Demonstration Application Samples. In addition, the

software industry in the world, in Turkey and ERP is intended to provide information about,

and industrial applications.

*Learning Outcomes:

1. To introduce today's modern tools as practitioners of industrial engineering students

2. To establish and solve engineering problems using package program or their own models.

3. To show how software is beneficial for the students on different areas of work

4. Using the capabilities of the software development to solve engineering problems

5. To gain the ability on analysis and interpretation of the results using these softwares

*Learning and Teaching Methods: Course notes that are prepared using different sources (Books,

journal papers, conference proceedings) will be given using class board and visual presentations


Presentation + Application + Scientific Discussion





Mid-term exam 1

Mid-term exam 2 x

25

25

Quiz

Homework

Assignments/

Presentation

Projects

Laboratory work

Final Exam x 50


the lecture

Note:


DEBIS menu.

Assessment Criteria




Textbook(s):

1. Türk Yazılım Sektörü, Dr. Fuat Alican

2. System Analysis and Design Methods, Whitten B. Dittman

3. Etkili İnsanların 7 Alışkanlığı, Stephen Covey







*Course Content:





to add some

explanation, this

column can be

selected from the

DEBIS menu.

1. Industrial Engineers in Global World

2. Software industry in turkey and world

3. Software industry in turkey and world

4. System analysis

5. Mid-term-1

6. System analysis

7. ERP Applications

8. ERP Applications

9. System analysis

10. Mid-term-2

11. Project Management

12. Guest

13. Book “Etkili insanların alışkanlığı”

14. Final Exam







*Course Name:

Inventory Management


*Year/Semester: 3 / fall-Spring *Course Status: Elective




*Instructors:






*ECTS Credits: 4

*Course Objective:

To provide an understanding of fundamentals of inventory and materials management and how to

model and solve various inventory problems.

*Learning Outcomes:

LO1. Ability to define the principles of inventory management

LO2. Ability to determine inventory costs

LO3. Ability to model inventory problems

LO4. Ability to solve inventory problems

LO5. Ability to use current approaches to inventory management



further supported by homework and student presentations.





Mid-term exam 2

Quiz

Homework

Assignments/

Presentation

x 25

Projects

Laboratory work

Final Exam x 50


the lecture

Assessment Criteria

Midterm (25%) + Assignments (25%) + Final Exam (50%)


Textbooks:

Principle of Inventory and Materials Management, Richard J. Tersine, Prentice Hall, 1994





-

*Instructor Office Hours: ----

*Course Content:



Week Topics: Notes

1. Introduction to inventory management

2. Introduction to inventory management

3. Independent demand systems




7. Discrete demand systems: Deterministic models



10. Mid-Term Exam

11. Independent demand systems: Probabilistic models

12. Dependent demand systems

13. Presentations

14. Presentations







*Course Name:

Logistics System Design

*Course Level: B.Sc. *Course Code IND 3905 /END 3905

*Year/Semester: 3 / fall Spring *Course Status: Elective

*Instruction Language: English/Turkish *Course Teaching System:



*Instructors:






*ECTS Credits: 4

*Course Objective:

To provide an understanding of strategic and analytical elements of logistics systems design and

management.

*Learning Outcomes:

LO1. Ability to define the principles and concepts of the logistics systems

LO2. Ability to design proper logistics systems being familiar with fundamentals and techniques for

logistics systems design with related terminology

LO3. Ability to define the principles for management of logistics systems

LO4. Ability to analyze the logistics systems

LO5. Ability to continually improve the logistics systems








Mid-term exam 2

Quiz

Homework

Assignments/

Presentation

x 25

Projects

Laboratory work

Final Exam x 50


the lecture

Assessment Criteria



Textbooks:

Supply Chain Management: Strategy, Planning and Operations 4th

Editon; Sunil

Chopra,Peter Meindl, Prentice Hall,2010

Business Logistics/Supply Chain Management; Ranold H. Ballou, Prentice Hall, 2004





-


*Course Content:



Week Topics: Notes

1. Systems Approach to Logistics & Logistics Systems

2. Logistics Systems

3. Logistics Decisions

4. Logistics Costs

5. Shipment Consolidation

6. Inventory Management in Logistics Systems

7. Inventory Management in Logistics Systems

8. Inventory Management in Logistics Systems- Exercises

9. Mid-Term Exam

10. Transportation in Logistics Systems

11. Transportation in Logistics Systems

12. Vehicle Routing Problem

13. Presentations

14. Presentations







*Course Name:

Logistics Operations Management

*Course Level: Undergraduate *Course Code IND 3906/END 3906


*Instruction Language: Turkish/English *Course Teaching System:



*Instructors:






*ECTS Credits: 4

*Course Objective:

Exposing students to current management thinking, methods and strategies used in managing logistics

and operations systems, and prepare students for positions that analyze, plan, implement and control

logistics and operations processes in firms.

*Learning Outcomes:

LO1: Be able to explain the logistics and its role in the economy and organizations

LO2: Understanding the supply chain management

LO3: Be able to structure different logistics strategies

LO4: Be able to improve customer service performance

LO5: Be able to explain global logistics management and new trends in logistics management


Lectures, Student presentations and Class discussions





Mid-term exam 2

Quiz

Homework

Assignments/

Presentation

X 25

Projects

Laboratory work

Final Exam X 50


the lecture

Assessment Criteria


Textbooks:

Business Logistics/Supply Chain Management, Ronald H. Ballou, Pearson Prentice Hall, 978-

0131076594, New Jersey, 2004.

Reference Books:

Strategic Logistics Management. James R. Stock, Douglas M. Lambert, McGraw-Hill/Irwin, 978-

0256136876, 2000.

The Management of Business Logistics, John J. Coyle, Edward J. Bardi, C. John Langley, West

Publishing, 978-0324007510, 2003.





-


*Course Content:

Week Topics: Notes

1. Definition of logistics, Logistics' role in the economy

2. Logistics' role in the organization, Logistics management

3. Logistics operations and costs: Key logistics activities, Integration of

logistics activities, Logistics costs

4. Logistics Operations and Costs

5. Supply chain management and logistics, Supply chain network structure

6. Supply chain business processes, Supply chain design considerations

7. Customer service and Methods of establishing a customer service strategy

8. Developing and reporting customer service standards, Improving customer

service performance

9. Logistics strategies, Planning of logistics operations

10. Performance evaluations of logistics strategies

11. Midterm exam

12. Global logistics management: International supply chain strategies

13. The Global marketplace, Global logistics

14. New trends in logistics management







*Course Name: Mathematical Modeling and

Applications

(Course Title)

*Course Level: Undergraduate *Course Code: IND 3907/END 3907

*Year/Semester: 3 *Course Status: Selective

*Instruction Language: Turkish/English *Course Teaching System: Formal education



*Instructors: Assoc.Prof.Dr. Şeyda Topaloğlu






*ECTS Credits: 4

*Course Objective: This course illustrates how mathematical modeling is applied to decision making

processes in services and manufacturing. The students will be aware of the current problems and

issues in industry and the focus will be on the required determistic models for their optimum solutions.

The course takes place in a computer lab where programming LINGO is illustrated. The developed

models are solved via LINGO and solution reports are analyzed thereafter.

*Learning Outcomes:

1. To know the application areas of mathematical modelling and identify different problems

2. An ability to develop deterministic models

3. An ability to solve the problems using LINGO optimization modeling language

4. An ability to perform sensitivity analysis using LINGO and analyze the effects of changes on the

optimum solutions

5. An ability to analyze LINGO solution reports








Mid-term exam X 35

Quiz

Homework

Assignments/

Presentation

Projects x 25

Laboratory work

Final Exam x 40


the lecture

Note:


DEBIS menu.

Assessment Criteria




Textbook(s):

Optimization Modeling with LINGO, Lindo Systems Inc., 5th

Edition, 2003

Supplementary Book(s): LINGO User’s Guide, LINDO Systems Inc, 2004

Winston W.L., Operations Research: Applications and Algorithms, 4th edition, Brooks/Cole –

CENGAGE Learning, 2004





Assoc.Dr. Şeyda Topaloğlu, [email protected]




*Course Content:



Week Topics: Notes

1. Introduction to Mathematical Modeling

2. Linear Programming Models, Introduction of LINGO Optimization Package

3. Analysis of LINGO Solution Reports, Unbounded/Infeasible/Degenerate

Solutions, Slack/Surplus Values, Shadow Prices/Reduced Costs

4. Sensitivity Analysis and LINGO Applications

5. Sensitivity Analysis and LINGO Applications

6. Use of Sets in LINGO, Types of Sets, @SUM, @MIN, @MAX, @FOR Set

Looping Functions, DATA Inputs

7. Different Sample Models According to Set Types (Workforce, Days-On

Scheduling, PERT, CPM, Matching, Assignment Problems)

8. @WRAP, @SIZE, @IN, @INDEX, @BOUND, @GIN, @BIN Functions

and Explanations with Samples

9. Process Selection Product Mix Problems, Goal Programming Applications

10. Midterm Exam

11. Integer Programming Models (Fixed Charge, Assembly Line Balancing,

Simple and Capacitated Facility Layout Problems, etc.)

12. Set Covering, Cutting Stock, Column Generation Models and Their

Applications

13. Project Presentations (Machine Scheduling, Supply Chain Modeling, Vehicle

Routing, Timetable Scheduling, etc.)

14. Project Presentations Continue






Engineering


Engineering



*Course Name: Computer Integrated

Manufacturing

(Course Title)






*Instructors:





*ECTS Credits: 4

*Course Objective:

The objective of this course is to introduce students computer integrated manufacturing systems and to

give the analysis techniques of these systems.

*Learning Outcomes:

16. To be able to define the fundamental concepts of industrial automation systems

17. To be able to classify industrial automation systems

18. To be able to analyze automated flow lines

19. To be able to analyze automated assembly lines

20. To be able to analyze automated guided vehicles







Mid-term exam x 50

Quiz

Homework

Assignments/

Presentation

Projects

Laboratory work

Final Exam x 50


the lecture

Note:


DEBIS menu.

Assessment Criteria




Groover, Mikell P., 2008 (3e), Automation, Production Systems, and Computer Integrated

Manufacturing, Prentice Hall Inc.








*Course Content:





to add some

explanation, this

column can be

selected from the

DEBIS menu.

1. Introduction to CIM

2. Fundamental concepts

3. Automated flow lines

4. Automated assembly machines

5. Numerical control

6. Industrial robots

7. Automated material handling systems

8. Automated storage and retrieval systems

9. Group technology and cellular manufacturing

10. Mid term

11. Flexible manufacturing systems (1)


13. CAD/CAM/CAE, Concurrent engineering

14. Automated data collection systems








*Course Name:

Industrial Marketing






*Instructors:

Asst.Prof. Pınar Özkan ÖZDEMİR



Assoc.Prof. Hasan Selim


*ECTS Credits: 4

*Course Objective:

This course is intended to provide the student with the managerial aspects of industrial and business –

to-business marketing. The similarities and the differences between consumer goods and business-to-

business marketing will be discussed, with specific focus on organization buying behavior;

relationship management and the management of the industrial marketing mix will be examined in

detail.

*Learning Outcomes:

LO1: identify the industrial and commercial market it terms of its controllable and uncontrollable

environment

LO2: apply the marketing mix and communication mix to industrial and commercial selling

transactions

LO3: develop and expand knowledge in the overall marketing environment

LO4: analyze industrial markets

LO5: perform market evaluation

*Learning and Teaching Methods: / Learning and Teaching Strategies:






Mid-term exam 2

Quiz

Homework

Assignments/

Presentation

X 25

Projects

Laboratory work

Final Exam X 50


the lecture

Assessment Criteria


Textbooks:

İlhan Cemalcılar, Pazarlama, İstanbul, 1990

Ömer Baybars Tek, Pazarlama ve Uygulama, İzmir, 1991

Reference Books:

Philip Kotler, Principle of Marketing, Englewood Clifts, 1992



Tel: 10556 e-mail: [email protected]



*Course Content:

Week Topics: Notes

1. Introduction to marketing, marketing systems

2. Goods and services, classification of goods

3. Functions of marketing

4. Distribution channels

5. Management and planning of marketing

6. Types of organizations

7. Product planning and development

8. Pricing policies

9. Selling

10. Midterm exam

11. Case Study and Discussion Paper Presentations










*Course Name:

Modern Finance Techniques

*Course Level: Undergraduate *Course Code : END 3911





*Instructors:

Assoc.Prof. Erhan DEMİRELİ



Assoc.Prof. Hasan Selim


*ECTS Credits: 4

*Course Objective:

The objective of this course is to provide students with an understanding and using of the modern

finance theory.

*Learning Outcomes:

LO1: Learn to financial concepts

LO2: Be able to describe the financial techniques and tools

LO3: Understanding to financial operation process

LO4: Learn to alternative financial techniques

LO5: Learn to capital structure, dividend policy







Mid-term exam 2

Quiz

Homework

Assignments/

Presentation

X 25

Projects

Laboratory work

Final Exam X 50


the lecture

Assessment Criteria


Textbooks:

İşletme Finansı ve Finansal Yönetim, Detay Yayıncılık, 2008, Ankara

Reference Books:





-


*Course Content:

Week Topics: Notes

1. The basic concept of finance theory and financial goals

2. Investment concept and investment valuation methods

3. Financial tools

4. Alternative financial techniques (Factoring)

5. Alternative financial techniques (Leasing, Forfaiting)

6. Capital structure theories

7. Capital cost

8. Profit, profitability, dividend policy concepts

9. Financial statements, financial analysis and techniques

10. Midterm exam










Industrial Engineering Department *Course Name:

Strategic Management

*Course Level: undergraduate *Course Code: END 3912


*Instruction Language: *Course Teaching System: formal education



*Instructors:

Assoc. Prof. Dr. Mehmet ÇAKMAKÇI






*ECTS Credits: 4

*Course Objective: The main purpose of the Strategic Management course is to adopt the necessary analysis for

conformity of the enterprises to the environment, to realize the analysis of internal and external factors

affecting enterprises, to determine the opportunities and threats in the external environment and to

determine the advantages and weaknesses of the enterprise, and as the result of these analysis, to tell

the students the Strategic Management process.

*Learning Outcomes:

1. to give introduction of Quality Control and Quality Assurance and Quality Management

and Statisticak Quality Control and TQM

2. to give introduction of Statistical Process Control

3. to give introduction of Using, and Application, and Interpretaion of Sample Size

4. to give introduction of Using, and Application, and Interpretaion of Control Charts

5. to give introduction of Process Improvement – Process Capability Analysis

6. to give introduction of Design of Experiments



The course is taught in a lecture, class presentation and discussion format. All class members are

expected to attend and both the lecture and take part in the discussion sessions. Besides the taught

lecture, group presentations are to be prepared by the groups assigned for that week and presented

to open a discussion session.





Mid-term exam x 35

Quiz

Homework

Assignments/

Presentation

x 15

Projects

Laboratory work

Final Exam x 50


the lecture

Note:

Assessment Criteria

There will be minimum 2 projects, averaged out grades for which will be 15 % of the overall success

of the students. mid-term examinations will be averaged and affect the grade by 35 %. Final exam will

be 50 % of the resulting grade.


- 1. Kamu İdareleri İçin Stratejik Planlama Kılavuzu,(1) DPT-Devlet Planlama Teşkilatı,

Ankara, 2006







*Course Content:





to add some

explanation, this

column can be

selected from the

DEBIS menu.

1. The Basic Concept of Strategic Management and Strategic Planning

2. Risk, Existent Situation and Stakeholder Analysis

3. Risk, Existent Situation and Stakeholder Analysis

4. Determination of Mission, Vision, Strategy, Goal and Objective

5. Determination of Mission, Vision, Strategy, Goal and Objective

6. Performance Planning

7. Performance Planning

8. Budgeting and Financing

9. The Monitoring, Evaluating and Controlling of Strategic Results

10. Midterm Exam

11. The Monitoring, Evaluating and Controlling of Strategic Results

12. Considering the Strategic Management Applications










*Course Name:

Forecasting and Time Series

*Course Level: B.Sc. *Course Code: IND 3915/END 3915





*Instructors:






*ECTS Credits: 4

*Course Objective:

To obtain an understanding and ability to use basic concepts of forecasting and time series, regression

methods and moving averages, exponential smoothing methods, adaptive methods and Box-Jenkins

model.

*Learning Outcomes:

LO1. State, explain and interpret relevant inferential statistics using various data sets for forecasting

LO2. Explain basics of time series

LO3. State and explain regression methods and analysis for forecasting

LO4. State and explain exponential smoothing

LO5. Explain adaptive method and box-Jenkins model. regression analysis

LO6. Explain the usage of software for forecasting



further supported by computer lab work.





Mid-term exam 2

Quiz

Homework

Assignments/

Presentation

x 15

Projects

Laboratory work

Final Exam x 50


the lecture

Assessment Criteria


Textbooks:

D. C. Montgomery, C.L. Jennings and M. Kulahci. (2008).Introduction to Time Series

Analysis and Forecasting, Wiley-Interscience, USA.

Reference books:

F. X. Diebold. (2007). Elements of Forecasting (Fourth Edition), South-Western College

Publishing, USA.

J. E. Hanke and D. Wichern (2008). Business Forecasting, Prentice Hall, UK.






*Course Content:



Week Topics: Notes

1. Introduction to forecasting and background information for basic

statistics

2. Investigating data structures

3. Moving average and exponential smoothing methods

4. Time series and its components

5. Simple linear regression

6. Multiple regression analysis

7. Regression analysis in time series

8. Mid-term exam

9. Box-Jenkins (ARIMA) method

10. Quantitative forecasting methods, forecasting error analysis

11. Managing forecasting process

12. Project presentation






Offered by: Department of Industrial

Engineering

Offered to: Department of Industrial

Engineering

Name of the Department: Department of


Course Name: Applied Decision Analysis

Course Level: Undergraduate Course Code: IND 3919/END 3919

Year/Semester: 3. Class Course Status: Elective

Instruction Language: English/Turkish Course Teaching System: Formal education

Prerequisite: None Prerequisite to: None

Weekly Course Hours: 3

Instructors:

Assistant Professor Seren Ö. TAŞAN


Course Coordinator:

Assistant Professor Seren Ö. TAŞAN

3 0 0 DEU Credits: 3

ECTS Credits: 4

Course Objective:

This course aims at teaching the students various modelling techniques and methods used in decision

analysis. Furthermore, it is aimed to learn multi attribute utility models, decision trees, influence

diagrams, analytic hierarchy process, data envelopment analysis and

Bayesian models.

Learning Outcomes:

1. Structure the decision problems in complex situations

2. Identify the values,objectives,attributes,decisions,consequences and trade-offs in a real decision

problem

3. Be familiar with the computer-based tools as asids in decision analysis

4. Represent a decision problem graphically

5. Represent a decision problem mathematically

Learning and Teaching Methods: Homework + Project


Assessment Methods:

Grading (%)


Mid-term exam X 30

Quiz

Homework

Assignments/

Presentation

X 20

Projects

Laboratory work

Final Exam X 50


the lecture

Suggested Sources for the Course:

Textbook:

1.Making Hard Decisions: An Introduction to Decision Analysis,R.T. Clemen, , ,Duxbury Press,,,1996

Supplementary Books:

1. Introduction to Decision Analysis, David C. Skinner, , , Probabilistic Publishing,, , 2001

2. Applied Decision Analysis, Derek W. Burn, , , McGraw-Hill,, , 1984

3. An Introduction to Management: Quantative Approaches to..., D.R. Anderson,D.J. Sweeney, T.A.

Williams, South-Western Publishing Company, 2004

Contact Details for the Instructor:

Course Assistant(s) and Contact Details:

Instructor Office Hours:

Course Content:

Week Topics: Notes:

1. Introduction to Decision Analysis

2. Modeling Uncertainty

3. Elements of Decision Problems

4. Structuring the Decisions: Influence Diagrams and Decision Trees

5. Structuring the Decisions: Influence Diagrams and Decision Trees

6. Value of Information

7. Sensivity and Risk Analysis

8. Midterm I

9. Utility Theory

10. Utility Theory

11. Benchmarking using Data Envelopment Analysis

12. Multiple Criteria Decision Making using Analytic Hierarchy

Process

13. Multiple Criteria Decision Making using Analytic Hierarchy

Process

14. Applied Studies on Decision Modeling




*Offered by:

Engineering Faculty *Offered to:

Industrial Engineering Department



Lean Manufacturing


*Year/Semester: 3/fall-spring *Course Status: Elective




*Instructors:







*ECTS Credits: 4

*Course Objective:

This course will provide the student with the underlying principles and techniques of lean

manufacturing particularly classification of the production systems, value stream mapping-analysis,

historical view of lean philosophy, basic principles of lean manufacturing, waste definition and types

of waste, and tools of lean manufacturing 5S-SMED-TPM-JIT-KANBAN with emphasis on their

application in the production.

*Learning Outcomes:

1. To provide students the ability to determine necessary of lean evaluation in the

company

2. To provide students the ability to determine Value-Added activity of the production.

3. To provide students the ability to use a new Value stream mapping from the old one.

4. To provide students the ability to use continuous process improvement.

5. Transition the traditional layout to the cellular manufacturing system.

6. To provide students the ability to apply the technics of lean manufacturinng.











Mid-term exam x 35

Quiz

Homework

Assignments/

Presentation

x 15

Projects

Laboratory work

Final Exam x 50


the lecture

Note:

Assessment Criteria





Textbook(s):

- J. Womack, D. T. Jones, D. Roos, The Machine that Changed the World,1990.

- Lecture notes


References:

Materials:







*Course Content:





to add some

explanation, this

column can be

selected from the

DEBIS menu.

1. Introduction to the Lean Manufacturing - historical view of lean

philosophy

2. Value stream mapping-analysis

3. Cellular system and obtaining of the manufacturing cells

4. Short set-up times

5. Lean Manufacturing Techniques

6. 5S Techniques


7. SMED Techniques

8. TPM Techniques

9. SMED-TPM Relationship

10. Midterm Exam

11. JIT Techniques

12. KANBAN Techniques

13. Lean Manufacturing Applications - Presentation

14. Lean Manufacturing Applications - Presentation







*Course Name:

Service Systems

*Course Level: Undergraduate *Course Code: END 3923/ IND 3923





*Instructors:

Assoc.Prof.Dr. Hasan Selim /

Asst.Prof.Dr.Gonca Tunçel





*ECTS Credits: 4

*Course Objective:

The objective of this course is to provide students with an understanding of how industrial engineering

tools and techniques can be used in design, evaluation, and improvement of service systems.

*Learning Outcomes:

LO1: Achieve an understanding of the nature of services, service encounters, the focus of service

management and service strategy

LO2: Be able to define the technology, and its impact on services

LO3: Be able to design services and service systems

LO4: Be able to operate service systems

LO5: Be able to execute service operations

*Learning and Teaching Methods: /Learning and Teaching Strategies:






Mid-term exam 2

Quiz

Homework

Assignments/

Presentation

X 15

Projects

Laboratory work

Final Exam X 50


the lecture

Assessment Criteria


Textbooks:

Service Management and Operations, Cengiz Haksever, Barry Render, Roberta S. Russell, Robert G.

Murdick, Prentice Hall, 0-13-081338-9, 2000


*Contact Details for the Instructors:

E-mail: [email protected], [email protected]; Tel: 0232 3017618, 0232 3017617



*Course Content:

Week Topics: Notes:

1. The nature of services and service encounters

2. Customers: The focus of service management, Globalization of services

3. Service strategy and competitiveness

4. Technology and its impact on services, Design and development of services

5. Human resource management in services

6. Work measurement in services, Facility layout

7. Managing demand and supply in services

8. Queuing and simulation

9. Service quality

10. Service productivity and performance measurement

11. Midterm exam

12. Forecasting demand for services, Scheduling

13. Project management

14. Linear and goal programming applications for services, Service inventory systems







Engineering


Engineering



*Course Name: Labour and Business Law

(Course Title)






*Instructors:

Sermin Sancaktaroğlu



Yrd.Doç.Dr. Derya E.Akyol


*ECTS Credits: 4

*Course Objective:

The objective of this course is to introduce the norms and principles of labour and business law. Thus,

students will be familiar with the concepts and elements of business life and their rights in business

life.

*Learning Outcomes:

1. To obtain the skill of active participation to social and economic life

2. To obtain problem solving skill with intellectual and deliberative approach

3. To obtain the strength of determining the goals that contribute to better working conditions

4. To learn the norms and principles of business life

5. To be familiar with the concepts and elements of business life

6. To learn the personal rights in business life

7. To obtain skill of assisting administration in lay out the workplace to increase efficiency.

*Learning and Teaching Methods: Course notes that are prepared using different sources

(legislation texts, examples from high court about the topics and practical studies)






Mid-term exam 25 + 25

Quiz

Homework

Assignments/

Presentation

Projects

Laboratory work

Final Exam 50


the lecture

Note:


DEBIS menu.

Assessment Criteria




Textbook(s):

İş Hukuku Mevzuatı,Müjdat Sakar ,1996




*Contact Details for the Instructor: [email protected], Tel. +90-232-3017604



*Course Content:



Week Topics: Notes:

1. Basic principles of business law, basic subjects and concepts of

business law, scope and exceptions of business law

2. Definition and sorts of labour contract, freedom of contract and

its borders in business law

3. Obligations and executions originating from labour contract,

circumstances which may ask for occupational accident and

incapacity subsidy

4. Termination of labour contract: temporary abolition, invalid

abolition and its consequences

5. The circumstances that employee and employer can

immediately abolish labour contract and their consequences

6. Legal consequences of termination of labour contract

7. Regulation of business life

8. Definition of employee and employer unions and their elements

9. First Midterm

10. Foundation principles of unions, foundation operations and

foundation provisions

11. Union memberships and provisions related to memberships

12. Incomes and outcomes of unions, their area of activity,

forbidden activities, collective labour agreement, strike and

shutout

13. Commercial organization, foundation of commercial

partnerships and their elements

14. Second Midterm






Engineering


Engineering



*Course Name:

(Course Title) Human Resources Management







Yrd.Doç.Dr. Gonca Tunçel


*ECTS Credits: 4

Course Objective:

The objective of this course is to introduce the students various human resources management (HRM)

applications such as recruitment, job training, evaluation and awarding and recent HRM approaches

such as strategic HRM, high-performance HRM and international HRM. Institutional and competitive

factors that constitute the base of HRM applications are also dwelt on.

Learning Outcomes: 1- To define HRM and teach the managers’ HRM responsibilities

2- To teach work studies and job definitions

3- To teach about human resources planning

4- To inform about applicant selection, job placement and how to apply tests.

5- To be able to determine education requirements.

6- To teach about performance evaluation, wage and salary management and social rights.

7- To define career development methods

Learning and Teaching Methods:

1- Lectures

2- Individual homeworks

3- Group studies

4- Videos

5- Discussions





Mid-term exam (X) x 25

Quiz

Homework

Assignments/

Presentation

x 12,5

Projects x 12,5

Laboratory work

Final Exam (X) x 50


the lecture

Suggested Sources for the Course:

Gary Dessler (2011), “Human Resource Management”, Pearson, ISBN: 9781408279083

Gary Dessler (2008), “Human Resource Management” Pearson, ISBN: 9780138142735

http://www.pearsoned.co.uk/bookshop/detail.asp?item=100000000426617 Video, Gary Dessler, Human Resource Management, 8. Edition

www.humanresource.com , www.recruitment.com , www.hr.com

Lectures

Course Content:



Week Topics Notes:

1. General Overview of Human Resources

2. Personnel Management, Human Resources Management and

Strategic Human Resources Management

3. Strategic Role and Importance of Human Resources

4. Human Resources Planning

5. Work Study

6. Recruitment, Selection and Job Placement

7. Education and Development

8. Performance Management and Performance Evaluation

9. Career Management

10. Wage and Salary Management

11. Social Rights Management

12. Motivation

13. Industrial Relations and Employer-Employee Relations

14. International Human Resources Management

http://www.pearsoned.co.uk/bookshop/detail.asp?item=100000000426617

http://www.humanresource.com/

http://www.recruitment.com/

http://www.hr.com/




*Offered by:

*Offered to:



Project Management






*Instructors:







*ECTS Credits: 4

*Course Objective: The course deals with project portfolio together management, planning, project controlling like claim

management, project risk management, project quality management, team management,

documentation, organisational learning, communication management and presentation techniques. To

learn basic introduction to the philosophy and methodology of project organisation and management

in the production of the manufacturing and service sector.

*Learning Outcomes:

1. Apply the theoretical and practical aspects of project management to formulate strategies

enabling organizations to achieve strategic goals through projects.

2. Evaluate management by projects as an emerging business model in the context of

managing complexity, managing change, and optimizing business performance in a

dynamic environment.

3. Employ critical-thinking and analytical skills to investigate complex business problems to

propose project-based solutions that are derived from project management theory and

practice.

4. Articulate the value of project risk management in the broader context of enterprise risk

management considering both threats and opportunities posed by environmental factors.

5. Exhibit the ability to make reasoned, ethical decisions that are based on professional

standards for ethical conduct in project management as well as in the best interest of the

project, the organization, the environment, and society as a whole.

6. Assess leadership styles from the perspectives of the role of the leader and leadership

effectiveness in organizations that are managed by function, by matrix, and by projects











Mid-term exam x 35

Quiz

Homework x 15

Assignments/

Presentation

Projects

Laboratory work

Final Exam x 50


the lecture

Note:

Assessment Criteria





1. Textbook(s): SHTUB A., BARD J.F., GLOBERSON S., Project Management, Pearson

Prentice Hall, New Jersey 2005

2. Supplementary Book(s):

- SARIASLAN H., Yatırım Projelerinin Hazırlanması ve Değerlendirilmesi, Turhan

Kitabevi, Baskı, Ankara, 2002.

- WOJDA F., Projektorganisation-Projektmanagement Skriptum zur Vorlesung

(lecture notes), Vienna University of Technology, 2001

References:

Materials:








*Course Content:





to add some

explanation, this

column can be

selected from the

DEBIS menu.

1. Introduction to Project Management

2. Introduction to Project Management

3. Project Feasibility Process

4. Project Feasibility Process

5. Project Planning

6. Project Planning - Project Time Management / Scheduling

7. Project Planning - Project Time Management / Scheduling

8. Project Risk Management

9. Project Risk Management

10. Mid-term examination

11. Project Controlling Earned Value Analysis

12. Project Controlling Project Cost Management

13. Project Organization and Project Leadership

14. Project Organization and Project Leadership

DOKUZ EYLUL UNIVERSITY






*Course Name:

Business Economics


*Year/Semester: 3/5 *Course Status: Elective




*Instructors: Assist. Prof. Dr. Özcan KILINÇCI


*Course Coordinator: Assist. Prof. Dr. Özcan

KILINÇCI


*ECTS Credits: 4

*Course Objective: The course aims to provide basic knowledge of the business functions


1. Will be able to know classifications of the firms

2. Will be able to know functions in the firms

3. Will be able to know interactions between functions in the firms.

4. Will be able to know the procedures in the firm before beginning production

5. Will be able to know the procedures in the firm after beginning production







Mid-term exam X 30

Quiz

Homework

Assignments/

Presentation

Projects X 20

Laboratory work

Final Exam X 50


the lecture

Note:

Assessment Criteria


1. Muammer Doğan, “İşletme Ekonomisi ve Yöntemi”, (2006)

2. Oktay Alpugan, Mete Oktav, “İşletme Ekonomisi ve Yöntemi”, (1997)





*Course Content:



Week Topics: Notes:

1. Basic knowledge of business economics

2. Classifications of the firms

3. Legal structures of a business

4. Steps of the business establishment

5. Forecasting

6. Business location

7. Capacity Planning

8. Project evaluation techniques

9. Midterm

10. Production

11. Management

12. Marketing

13. Finance






*Name of the Department: *Course Name:

(Course Title) Knowledge-Based Systems

*Course Level: *Course Code: IND 3930/END 3930

*Year/Semester: 3/ Fall *Course Status: Elective




*Instructors: Assoc.Prof. Latif Salum





*ECTS Credits: 4

*Course Objective: The aim of the course is to teach how to model and analyze industrial

engineering systems by making use of discrete mathematical tools.

*Learning Outcomes:

1. Describe the basic tools of Discrete Mathematics

2. Model and analyze System/Industrial Engineering applications via these basic tools

3. Describe basic steps of modelling and analysis

4. Demonstrate modelling of natural language with propositional and predicate logic

5. Evaluate the cost of analysis


Learning and Teaching Strategies: Course will be taught in the class





Mid-term exam x 30

Quiz

Homework

Assignments/

Presentation

x 20

Projects

Laboratory work

Final Exam x 50


the lecture

Note:


DEBIS menu.

Assessment Criteria




Textbook(s): Discrete Mathematics and Its Applications, Rosen, KH

Supplementary Book(s): Systems Engineering and Architecting: Creating Formal Requirements,

Bellagamba, L.







*Course Content:





to add some

explanation, this

column can be

selected from the

DEBIS menu.

1. Introduction to systems thinking

2. Problem definition and requirements engineering

3. Systems modeling using diagrams and mathematics

4. Introduction to propositional logic

5. Soundness and completeness

6. Sets, relations and functions

7. Exam

8. Introduction to predicate logic

9. Interpretation of predicate logic based on sets

10. Induction and recursion

11. Graphs

12. Exam

13. Automata theory

14. Complexity







*Course Name: Introduction to Innovation and

Entrepreneurship


*Year/Semester: 3 th Year *Course Status: Elective









*ECTS Credits: 4

*Course Objective: This course aims to equip students with an understanding of the main issues in

both innovation and entrepreneurship and an appreciation of the relevant theory, models and lessons. It

provides examples of different approaches based on real-world applications and experiences of leading

organisations from around the world. It also provides an appreciation of the practice of innovation and

entrepreneurship applied in emerging technologies and economics, and for sustainability and

development.

*Learning Outcomes:

LO1. Ability to define innovation and evaluate its effect on survival and growth

LO2. Ability to identify key characteristics of an entrepreneur

LO3. Ability to develop an organizational environment that supports creativity, entrepreneurship and

innovation

LO4. Ability to design effective networks and processes for innovation

LO5. Ability to evaluate implications of core challenges for innovative manufacturing

LO6. Ability to identify the key stages of the process of creating an innovative new venture

LO7. Ability to describe the factors that influence the diffusion and adoption of innovations

LO8. Ability to assess forecasts of future innovations using different methods


Lecture notes will be provided using blackboard and visual presentations. Case study discussions and

team work exercises will be performed.




Mid-term exam x 25

Quiz

Homework x 25

Assignments/

Presentation

Projects

Laboratory work

Final Exam x 50


the lecture

Assessment Criteria


Main Textbook:

Bessant, J. and Tidd, J. (2007) Innovation and Entrepreneurship, John Wiley & Sons

Supplementary Textbooks:

Dodgson, M., Gann, D. and Salter A. (2008) The management of technological innovation: The

strategy and practice, Oxford University Press

Tidd, J. and Bessant, J. (2009) Managing Innovation: Integrating technological, market and

organizational change, 4th edition, John Wiley and Sons





*Course Content:



Week Topics: Notes:

1. Introduction -What is innovation? -What is entrepreneurship?

2. Organizing Innovation and Entrepreneurship

3. Networks and Systems

4. Overview of Principles

5. Innovative Manufacturing

6. New Product and Service Development

7. Overview of Context

8. Mid-term exam

9. Creating and Sharing Knowledge and Intellectual Property

10. Exploiting Discontinuous Innovation

11. Entrepreneurship and New Ventures

12. Social Entrepreneurship and Innovation

13. Innovation for Growth and Sustainability

14. Innovation, Globalization and Development







*Course Name:

Graduation Project






*Instructors:



Prof.Dr.Adil Baykasoğlu


*ECTS Credits:12

*Course Objective:

To provide the students to define, to structure, to formulate and to solve a real world problem by using

their knowledge gained by Industrial Engineering program and considering ethical and social

dimensions.

*Learning Outcomes:

LO1. To model the problems considered in the project

LO2. To define problems

LO3. To solver real life problems

LO4. To differentiate alternative solutions for different performance metrics

LO5. To generate alternative solutions, and select the most appropriate.


Several sources related to the project.




Mid-term exam 1

Mid-term exam 2

Quiz

Homework

Assignments/

Presentation

x 50

Projects

Laboratory work

Final Exam x 50


the lecture

Assessment Criteria


Textbooks:




-


*Course Content:



Week Topics: Notes

1. Problem Modeling

2. Problem Modeling

3. Problem Modeling

4. Problem Modeling

5. To identify solution methods

6. To identify solution methods

7. To solve the model



10. Write the project report








*Offered by: Dept. of Industrial Engineering *Offered to: Dept. of Industrial Engineering


Dept. of Industrial Engineering

*Course Name:

MANAGEMENT AND ORGANIZATION

*Course Level: B.Sc. *Course Code: END 4703





*Instructors: Asst.Prof.Dr.Gonca Tunçel






*ECTS Credits: 5

*Course Objective:

Designing organizations to effectively manage new technologies, structures, and people in changing

global contexts is becoming more important day by day. In the context of this course information

about the traditional and modern management conceptions and organizational structures will be given.

*Learning Outcomes:

LO1: Identify the fundamental concepts of management, organizational structure, and management

functions

LO2: Explain classic and modern management models and practices

LO3: Understanding of the role of management, and what the day to day dynamics of managerial

work are

LO4: Develop an awareness of how individual managerial decisions affect the total organization and

its environment

LO5: Explore the issues managers will face in the twenty first century, and the challenges of doing

business globally in today’s world

LO6: To take notice of social responsibility and business ethics


Learning and Teaching Strategies: Lectures, homework, class discussions on industrial cases





Mid-term exam X 35

Quiz

Homework

Assignments/

Presentation

X 15

Projects

Laboratory work

Final Exam X 50


the lecture

Note:


DEBIS menu.

Assessment Criteria




Textbooks:

Modern Management, Samuel C. Certo,S. Trevis Certo, ,Prentice Hall, 0131494708, NJ,USA,

2006.

Fundamentals of Management, Robbins ,DeCenzo , Stuart-Kotze , Prentice-Hall, USA,

0135095182, 2011.

Yönetim ve Organizasyon (Çagdas ve Küresel Yaklasımlar),Erol EREN,Beta Basım Yayın,

9786053775065, İstanbul, 2011.

4. Organizational Behavior and Management, John M. Ivancevich,Robert Konopaske, Michael T.

Matteson, Mc Graw Hill, 978-0-07-128580, NY, USA, 2008.





E-mail: [email protected]; Telf: 02323017617


Res. Assist. Özcan Aytaç ([email protected] )

*Instructor Office Hours: Tuesday-Thursday, 13:00-16:00



*Course Content:





to add some

explanation

1. Introduction: Fundamental concepts, managers and management

skills

2. Classic and behavioral management approaches

3. Modern management approaches: Scientific management, system

theory, contingency approach

4. Management Functions: Determining organizational goals

5. Foundations of planning and decision making

6. Fundamentals of Organizing: Basic organizational design

7. Organizing: Responsibility, Authority, and Delegation

8. Mid-Term Examination

9. Communication

10. Leadership

11. Motivating and rewarding employees

12. General principals of control, Information technologies

13. Management in global arena

14. Social responsibility and business ethics







*Course Name:

Facility Design and Material Handling Systems






*Instructors: Assist. Prof. Dr. Özcan KILINÇCI


*Course Coordinator: Assist. Prof. Dr. Özcan

KILINÇCI


*ECTS Credits: 6

*Course Objective:


1. Will be able to follow steps required for a new facility design

2. Will be able to specify process planning, machine and personel requirements for a facility

3. Will be able to design alternate layouts for departments in a facility

4. Will be able to use a facility design software

5. Will be able to design and analyze the appropriate material handling system for a facility

6. Will be able to design warehouse and storage system







Mid-term exam X 30

Quiz

Homework

Assignments/

Presentation

Projects X 20

Laboratory work

Final Exam X 50


the lecture

Note:

Assessment Criteria


1. Garcia-Diaz, J. M. Smith, “Facilities Planning and Design”, Pearson Prentice Hall, (2008).

2. J. A. Tompkins, J. A. White, Y.A. Bozer, E.H. Frazelle, J. M. A. Tanchoco and J.

Trevino,“Facilities Planning”, 2nd ed., John Wiley & Sons, Inc., (1996).

3. D.R. Sule, “Manufacturing Facilities: Location, Planning and Design”, 2nd ed., PWS Publishing

Company, (1994).





*Course Content:



Week Topics: Notes:

1. Basin knowledge of facility design and planning

2. Product design and process planning

3. Layout planning

4. Layout planning (Assembly lines and Cell Manufacturing)

5. Location models

6. Location models

7. Facility layout techniques

8. Computer-aided facility layout

9. Midterm

10. Basic principles and equipments of material handling system

11. Material handling system design

12. Material handling system analysis

13. Storage and warehouse systems








*Course Name:

Seminar






*Instructors:



Prof.Dr.Adil Baykasoğlu

- 4 - *DEU Credits: 2

*ECTS Credits:7

*Course Objective:

To lead the students to make a literature research related to their thesis and to provide students a

theoric background.

*Learning Outcomes:

LO1. To express the problems considered in thesis

LO2. To define the concepts of their projects

LO3. To discover real life problems

LO4. To differentiate alternative solutions for different performance metrics

LO5. To generate alternative solutions, and select the most appropriate.


Several sources related to the project.




Mid-term exam 1

Mid-term exam 2

Quiz

Homework

Assignments/

Presentation

x 50

Projects

Laboratory work

Final Exam x 50


the lecture

Assessment Criteria


Textbooks:




-


*Course Content:



Week Topics: Notes

1. Problem definition





6. Literature review





11. Seminar report

12. Seminar report

13. Seminar report

14. Presentation





Engineering


Engineering



*Course Name: Modern Production Systems

(Course Title)

*Course Level: Undergraduate *Course Code: IND 4715

*Year/Semester: 4/Fall *Course Status: Compulsory




*Instructors:





*ECTS Credits: 4

*Course Objective:

The objective of this course is to introduce students modern production systems and to give the

analysis techniques of these systems.

*Learning Outcomes:

21. To be able to define the fundamental concepts of industrial automation systems

22. To be able to classify industrial automation systems

23. To be able to define automated data collection systems

24. To be able to define flexible manufacturing systems

25. To be able to analyze flexible manufacturing systems







Mid-term exam x 50

Quiz

Homework

Assignments/

Presentation

Projects

Laboratory work

Final Exam x 50


the lecture

Note:


DEBIS menu.

Assessment Criteria




Groover, Mikell P., 2008 (3e), Automation, Production Systems, and Computer Integrated

Manufacturing, Prentice Hall Inc.








*Course Content:





to add some

explanation, this

column can be

selected from the

DEBIS menu.

1. Introduction to CIM

2. Fundamental concepts

3. Automated flow lines

4. Automated assembly machines

5. Numerical control

6. Industrial robots

7. Automated material handling systems

8. Automated storage and retrieval systems

9. Group technology and cellular manufacturing

10. Mid term



13. CAD/CAM/CAE, Concurrent engineering

14. Automated data collection systems








*Course Name:

Supply and Service Systems






*Instructors:

Assoc.Prof.Dr. Hasan Selim /






*ECTS Credits: 5

*Course Objective:

The objective of this course is to provide students with an understanding of how industrial engineering

tools and techniques can be used in design, evaluation, and improvement of service systems.

*Learning Outcomes:

LO1: Achieve an understanding of the nature of services, service encounters, the focus of service

management and service strategy

LO2: Be able to define the technology, and its impact on services

LO3: Be able to design services and service systems

LO4: Be able to operate service systems

LO5: Be able to execute service operations

*Learning and Teaching Methods: /Learning and Teaching Strategies:






Mid-term exam 2

Quiz

Homework

Assignments/

Presentation

X 15

Projects

Laboratory work

Final Exam X 50


the lecture

Assessment Criteria


Textbooks:

Service Management and Operations, Cengiz Haksever, Barry Render, Roberta S. Russell, Robert G.

Murdick, Prentice Hall, 0-13-081338-9, 2000


*Contact Details for the Instructors:

E-mail: [email protected], [email protected]; Tel: 0232 3017618, 0232 3017617



*Course Content:

Week Topics: Notes:

1. The nature of services and service encounters

2. Customers: The focus of service management, Globalization of services

3. Service strategy and competitiveness

4. Technology and its impact on services, Design and development of services

5. Human resource management in services

6. Work measurement in services, Facility layout

7. Managing demand and supply in services

8. Queuing and simulation

9. Service quality

10. Service productivity and performance measurement

11. Midterm exam

12. Forecasting demand for services, Scheduling

13. Project management

14. Linear and goal programming applications for services, Service inventory systems









*Course Name: New product and business

development and technology management











*ECTS Credits: 5

*Course Objective: The objective of this course is to provide students a solid grounding in the theory

and practice of product and business development covering market feasibility (what is the need and do

customers want the product), technical feasibility (engineering design, prototyping, and manufacture),

and financial feasibility (how much money will the company make). It also aims to provide students

with an understanding of the ways in which technology is brought to market.

*Learning Outcomes:

LO1. Ability to identify the necessary steps to produce a viable product and critical elements of the

product development process

LO2. Ability to evaluate existing markets for new product opportunities

LO3. Ability to define both short and long term technical and business goals

LO4. Ability to select, and/or design organizational structures that fit the needs of product

development projects

LO5. Ability to translate market needs into product idea statements and develop ideas into concept

statements

LO6. Ability to conduct concept testing

LO7. Ability to engage in business case development for a new product concept

LO8. Ability to develop a launch plan for a new product


Principal methods of teaching will be lectures, seminars, and case discussions. The students are

expected to attend lectures and discuss cases in small group settings. Additionally, when appropriate,

lectures will be supported by computer lab work and guest speakers will be invited to describe

practical dimensions of product and business development processes.




Mid-term exam x 20

Quiz

Homework

Assignments/

Presentation

x 20

Projects

Laboratory work

Final Exam x 50


the lecture x 10

Assessment Criteria


Main textbook:

Ulrich, K.T. and Eppinger, S.D., 2007, Product Design and Development, 4th ed, McGraw-Hill/Irwin,

Supplementary Sources:

Crawford, C.M. and Di Benedetto, C.A. (2005). New Products Management. Boston: Irwin/McGraw-

Hill.

Steven C. Wheelwright and Kim B. Clark, 1992, Revolutionizing Product Development: Quantum

Leaps in Speed, Efficiency, and Quality. The Free Press.

Phaal Robert, Farrukh Clare and Probert David, 2001, Technology Roadmapping:

linking technology resources to business objectives, Centre for Technology Management, University

of Cambridge http://www.ifm.eng.cam.ac.uk/ctm/publications/tplan/trm_white_paper.pdf

Wheelwright, S.C. and Clark, K.B. (1995). Leading Product Development. New York: The Free Press.





*Course Content:



Week Topics: Notes:

1. Introducing the course, technology and new products in the

business context

2. Development processes and organizations:

3. Strategic and business planning processes

4. Opportunity identification and product planning

5. Identifying customer needs and product specifications

6. Concept generation, selection and testing

7. Product architecture and industrial design

8. Mid-term exam

9. Design for environment and design for manufacturing

10. Prototyping and robust design

11. Patents and intellectual property

12. Product development economics

13. Managing projects

14. Leading product development

http://www.ifm.eng.cam.ac.uk/ctm/publications/tplan/trm_white_paper.pdf







Supply Chain Modelling and Analysis

*Course Level: Bachelor degree *Course Code: IND 4902/END 4902

*Year/Semester: 4 *Course Status: Elective

*Instruction Language: English /Turkish *Course Teaching System: Formal education



*Instructors:


Theory

Application

Laboratory

*Course Coordinator



*ECTS Credits: 4

*Course Objective: To be able to model and analyze supply chain management and logistics

problems.

*Learning Outcomes:

1. An ability to identify main concepts of supply chain management

2. An ability to derive mathematical programming models for solving the supply chain management

problems.

3. To teach students to use problem solving tools to analyze strategic, tactical, and operational supply-

chain decisions including facility location, vehicle routing problems.

4. To engage students in case studies based on real world supply chain decisions.

5. An ability to solve logistics optimization problems via mixed integer linear programming models.

*Learning and Teaching Methods: The presentations which are prepared by using books, articles






Mid-term exam X 35

Quiz

Homework

Assignments/

Presentation

X 15

Projects

Laboratory work

Final Exam X 50


the lecture

Assessment Criteria


Textbook(s): Supply Chain Management: Strategy, Planning, and Operations, Chopra, S. and Meindle,

P., Prentice Hall, 2010

Supplementary Book(s): Introduction to Computational Optimization Models for Production Planning

in a Supply Chain, Stefan Vob, David L. Woodruff, Springer, 2003.



[email protected]


Thursday 14:00-16:00

*Course Content:



Week Topics: Notes:

1. Introduction

2. Supply chain network design

3. Supply chain network design under uncertain environment

4. Facility location problem

5. Aggregate planning in a supply chain

6. Transportation in a supply chain

7. Travelling salesperson problem, vehicle routing problem

8. Sourcing decisions in a supply chain

9. Supplier selection problem

10. Midterm Exam

11. Reverse supply chain management

12. Coordination in supply chain

13. Presentations

14. Presentations







*Course Name: Discrete Optimization Models

and Algorithms

(Course Title)


*Year/Semester: 4. Year *Course Status: Selective




*Instructors: Assoc.Prof.Dr. Şeyda Topaloğlu






*ECTS Credits: 4

*Course Objective: The aim of this course is to present classic integer and combinatorial

optimization models forms to students and to make them capable of solving these models using exact

and heuristic solution approaches.

*Learning Outcomes:

1. To know the application areas of discrete optimization and identify different problems

2. To know exact solution methods for discrete optimization problems

3. An ability to use exact solution methods

4. To know heuristic solution methods for discrete optimization problems

5. An ability to use heuristic solution methods








Mid-term exam X 35

Quiz

Homework Assignments/

Presentation

Projects x 25

Laboratory work

Final Exam x 40

Active participation to the lecture

Note: If the instructor needs to add some explanation or further note, this column can be selected from

the DEBIS menu.

Assessment Criteria




Textbook:

Optimization in Operations Research, Ronald L. Rardin, Prentice-Hall, USA, 1998

Supplemantary Book(s): Introduction to Operations Research, F. S. Hillier, G. J. Lieberman,

McGraw-Hill Inc., USA, 2005





Assoc.Dr. Şeyda Topaloğlu, [email protected]


*Instructor Office Hours: Assoc.Prof.Dr. Şeyda Topaloğlu, Afternoons on Monday and Tuesday

*Course Content:





to add some

explanation, this

column can be

selected from the

DEBIS menu.

1. Integer and Combinatorial Optimization Models

2. Integer and Combinatorial Optimization Models

3. Relaxations of Optimization Problems

4. Relaxations of Optimization Problems

5. Enumerative Algorithms (Total Enumeration, Branch-and-Bound,

Branch-and-Cut, Branch-and-Price, Column Generation)

6. Enumerative Algorithms Continue

7. Enumerative Algorithms Continue

8. Heuristic Discrete Optimization (Greedy/Constructive Heuristics,

Local Improvement, Tabu Search, Simulated Annealing, Genetic

Algorithms)

9. Midterm Exam

10. Heuristic Discrete Optimization Continues

11. Heuristic Discrete Optimization Continues

12. Discrete Dynamic Programming

13. Project Presentations

14. Project Presentations Continue








*Course Name: Fuzzy Logic and Industrial

Applications

(Course Title)


*Year/Semester: 4/fall-spring *Course Status: Elective

*Instruction Language: English/Turkish *Course Teaching System: Formal education



*Instructors: Prof.Dr. Adil BAYKASOĞLU





*ECTS Credits: 4

*Course Objective: To introduce fuzzy thinking and be able to model and solve real complex

problems with fuzzy logic.

*Learning Outcomes:

1. An ability to define main philosophy and concepts of fuzzy set theory

2. An ability to derive fuzzy mathematical models which takes into account the uncertainty in real life

problems

3. An ability to design fuzzy based expert systems

4. An ability to use MATLAB software in order to design and analyze the fuzzy rule based systems

5. An ability to estimate the results of different fuzzy classification methods that applied on the real

world problems








Mid-term exam x 25

Quiz

Homework

Assignments/

Presentation

Projects x 25

Laboratory work

Final Exam x 50


the lecture

Note:


DEBIS menu.

Assessment Criteria




Textbook(s): An Introduction to Fuzzy Sets, Witold Pedrycz, Fernando Gomide, Massachusetts

Institute of Technology,, USA, 1998.

Neural Fuzzy Systems, Chin-Teng Lin, C.S. George Lee, Prentice Hall,, New Jersey 1996.




*Contact Details for the Instructor: Professor Adil BAYKASOĞLU, Phd.

[email protected]

*Course Assistant(s) and Contact Details: Research Assistant Kemal SUBULAN, Msc.

*Instructor Office Hours: Afternoon at the Wednesday and thursday

*Course Content:





to add some

explanation, this

column can be

selected from the

DEBIS menu.

1. Fundamental Concepts and Definition of Fuzzy Logic

2. Linguistic Variables

3. Types of Membership Functions

4. Types of Membership Functions

5. Operations of Fuzzy Sets

6. Fuzzy Mathematical Programming

7. Fuzzy Rules

8. Mid-term examination

9. Fuzzy Inference Systems

10. Fuzzy Based Expert Systems

11. Fuzzy Classification Methods

12. Fuzzy Clustering Methods

13. Term Project Presentations

14. Term Project Presentations





Engineering


Engineering



*Course Name: Industrial Applications of

Simulation

(Course Title)






*Instructors:





*ECTS Credits: 4

*Course Objective:

The objective of this course is to give students the applications of simulation in Industry.

*Learning Outcomes:

26. To be able to analyze a real system with its input and output

27. To be able to develop a simulation of a real system

28. To be able to model material handling systems

29. To be able to model storage systems

30. To be able to model pull systems

*Learning and Teaching Methods Instructor notes will be given using blackboard and visual presentations. Lab studies will be carried

out.






Mid-term exam x 25

Quiz

Homework

Assignments/

Presentation

Projects x 25

Laboratory work

Final Exam x 50


the lecture

Note:


DEBIS menu.

Assessment Criteria




Pegden, C. Dennis, Shannon, Robert E., Sadowski, Randall P., 1995, Introduction to Simulation Using

SIMAN, Mc. Graw-Hill, Inc.

Kelton, W. David, Sadowski, Randall P., Sturrock, David T., 2007, Simulation With ARENA,

McGraw-Hill.








*Course Content:





to add some

explanation, this

column can be

selected from the

DEBIS menu.

1. Introduction to Material handling systems

2. Principles of material handling

3. The classification of material handling systems

4. Modelling unrestricted movement

5. Station macros in ARENA

6. Modelling restricted movement

7. Mid Term

8. Modelling conveyors (1)

9. Modelling conveyors (2)

10. Modelling AGV’s

11. Modelling pull systems

12. Modelling selection and sortation systems


14. Modelling AS/RS






*Name of the Department: Dept. of Industrial

Engineering

*Course Name:

MODELING AND ANALYSIS OF DISCRETE

EVENT SYSTEMS

*Course Level: B.Sc. *Course Code: IND 4907/ END 4907










*ECTS Credits: 4

*Course Objective:

Provide fundamental notions in modeling and analysis of discrete event systems and introduce general

tools for modeling such systems (automata, Petri Nets, finite state machines) as well as methods for

analyzing them (queuing systems). Present recent research in control of discrete event systems, mainly

modeling, analysis and synthesis aspects.

*Learning Outcomes:

1. To define the basic elements of system theory, then focuses on discrete event dynamic systems

2. To explain the mathematical properties of discrete event systems through Graph Theory and

Petri Net models

3. To adopt the Petri nets theory and applications in problems of system modelling, design, and

verification

4. To apply the above to the analysis of performance and reliability properties

5. To discuss the extension of discrete time towards continuous time and stochastic techniques,

leading to, e.g., Markov chains, queuing models and stochastic Petri nets



Lectures, problem classes, worksheets, course notes, textbooks, web support.





Mid-term exam X 30

Quiz

Homework

Assignments/

Presentation

X 15

Projects

Laboratory work

Final Exam X 50


the lecture

Note:


DEBIS menu.

Assessment Criteria




Textbook(s):

B. Hrúz and M.C. Zhou (2007), Modeling and Control of Discrete-event Dynamic Systems with

Petri Nets and Other Tool , Springer-Verlag, London.

Proth, J.M. and Xie, X. (1996), “Petri nets: A tool for design and management of manufacturing

systems”. Chichester, UK: John Wiley & Sons Inc.


Jerry Banks, John Carson, Barry L. Nelson, and David Nicol (1994). “Discrete-Event System

Simulation”, Fourth Edition by, Prentice Hall International Edition.

Zhou, M.C. and DiCesare, F. (1993), “Petri Net Synthesis for Discrete Event Control of

Manufacturing Systems”, Norwell, Massachusetts: Kluwer Academic Publishers (1993).

Desrochers, A.A. and Al-Jaar, R.Y. (1995). Applications of Petri nets in Manufacturing Systems.

New York, NY: Institute of Electrical and Electronics Engineers Press.

N. Viswanadham & Y. Narahari (1992) "Performance Modeling of Automated Manufacturing

Systems", Prentice Hall.

References:

Murata, T. (1989). Petri Nets: Properties, Analysis and Applications. Proceedings of IEEE, 77 (4),

541-580.

DiCesare, F., Harhalakis, G., Proth, J.M., Silva, M., and Vernadat, F.B. (1993). Practice of Petri

Nets in Manufacturing. London: Chapman & Hall.






*Course Assistant(s) and Contact Details:-


Tuesday-Thursday, 13:00-16:00

http://www.amazon.com/Discrete-Event-System-Simulation-Fourth-Jerry/dp/0131446797/ref=sr_1_1/105-3244100-1618867?ie=UTF8&s=books&qid=1194268644&sr=1-1

http://www.amazon.com/Discrete-Event-System-Simulation-Fourth-Jerry/dp/0131446797/ref=sr_1_1/105-3244100-1618867?ie=UTF8&s=books&qid=1194268644&sr=1-1


*Course Content:





to add some

explanation

1. Brief review of basic notions from Systems Theory and its

particularization for Discrete Event Systems.

2. Brief review 2 – Graph Theory

3. Essential Features of Petri Nets: Petri Net models and Definitions,

CPN Tools I

4. Petri Net properties 1: Structural Methods and Invariants

5. Petri Net properties 2 : Behavioral Properties

6. State Space methods, Reachability Analysis

7. State Space Analysis: Heuristic Methods

8. Elementary Classes of Petri nets: Event (Marked) Graphs

9. Midterm Exam

10. Performance evaluation models: Timed PNs

11. Stochastic PNs, Markov Chains

12. Applications of Petri nets in Manufacturing Systems

13. CPN modelling tools

14. Presentation of Research Projects

DOKUZ EYLÜL ÜNİVERSİTESİ

MÜHENDİSLİK FAKÜLTESİ

DERS TANITIM FORMU

Dersi Veren Birim(ler): Dersi Alan Birim(ler):

Bölüm Adı: Endüstri Mühendisliği Bölümü

Dersin Adı: Matematiksel Programlamada

Seçilmiş Konular

Dersin Düzeyi: Lisans Dersin Kodu: IND 4910/END 4910

Formun Düzenlenme/Yenilenme Tarihi:

30/03/2012

Dersin Türü: Seçmeli

Dersin Öğretim Dili: İngilizce/Türkçe

Dersin Öğretim Üyesi/Üyeleri:

Prof.Dr. Adil BAYKASOĞLU

Dersin Önkoşulu: Yok

Önkoşul Olduğu Ders: Yok

Haftalık Ders Saati: 3

Ders Koordinatörü (Ders girişlerinden

sorumlu olan kişi):

Prof.Dr. Adil BAYKASOĞLU

Teori

Uygulama

Laboratuvar Dersin Ulusal Kredisi: 3

3 0 0 Dersin AKTS Kredisi: 4

BU TABLO ÖĞRENCİ İŞLERİ OTOMASYON SİSTEMİNDEN AKTARILACAKTIR.

Dersin Amacı: Dersin ana amacı, öğrencilere genel yöneylem araştırması derslerinde değinilmeyen

konulardan bazılarını uygulamalar ve projeler yardımı ile tanıtmaktır.

Dersin Öğrenme Çıktıları: BURADA BELİRTİLEN ÖĞRENME ÇIKTILARI PROGRAM

ÇIKTILARI İLE İLİŞKİLENDİRİLECEKTİR.

En az 5 tane olmalıdır (Genellikle 5-8 arası) ve Bloom taksonomisine uygun olarak yazılmalıdır.

1. Mühendislik problemlerinin çözümü için doğrusal olmayan programlama modelleri türetebilme,

2. Çok amaçlı mühendislik problemlerinin çözümünde çok amaçlı optimizasyon tekniklerini

uygulayabilme,

3. Doğrusal olmayan programlama modellerinin ve çok amaçlı optimizasyon modellerinin çözümünün

gerçekleştirileceği LINGO, ILOG OPL Studio gibi yazılımları kullanabilme,

4. Doğrusal olmayan programlama ve çok amaçlı optimizasyonun temel kavramlarını tanıtabilme,

5. Doğrusal olmayan programlama yöntemleriyle tasarım optimizasyon problemlerini çözebilme.

Öğrenme ve Öğretme Yöntemleri: Ders içeriği ile ilgili olarak çeşitli kaynaklar (Kitaplar, bilimsel

makale ve tebliğler) kullanılarak hazırlanmış ders sunumları ve tahta kullanılarak verilecektir. Ayrıca

öğretme yöntemleri olarak teorik dersler, vaka analizleri ve projelerden yararlanılacaktır.

Değerlendirme Yöntemleri:

(Değerlendirme yöntemi, öğrenme çıktıları ve derste kullanılan öğretim teknikleri ile uyumlu

olmalıdır)

Varsa (X) olarak işaretleyiniz Yüzde (%)

Yarıyıl İçi / Sonu Çalışmaları

Ara Sınav

X 25

Yoklama Sınavı (Quiz)

Ödev/Sunum

Proje

X 25

Laboratuvar

Final Sınavı

X 50

Derse Katılım

Değerlendirme Yöntemlerine İlişkin Açıklamalar:

öğretim üyesi açıklama yapmak isterse bu başlığı kullanabilir.

Değerlendirme Kriteri: (Öğrenme çıktılarının hangi boyutları hangi değerlendirme kriteri ile

ölçülüyor? Değerlendirme kriterleri öğrenme yöntemleri ile ilişkilendirilmelidir.)

Ders İçin Önerilen Kaynaklar: Ana kaynak: “Optimization Concepts and Applications in

Engineering”, A.D. Belegundu, T.R. Chandrupatla, Prentice Hall, New Jersey, 1999.

Yardımcı kaynaklar: “Introduction to Engineering Design Optimization”, C. Onwubiko, Prentice Hall,

New Jersey, 1999.

“Practical Optimization Methods with Mathematica Applications”, M.A. Bhatti, Springer and Verlag,

New York, 2000.

“Operations Research: An Introduction”, H.A. Taha, Prentice Hall, New Jersey, 2007.

Derse İlişkin Politika ve Kurallar: (öğretim üyesi açıklama yapmak isterse bu başlığı

kullanabilir)

Ders Öğretim Üyesi İletişim Bilgileri: e-posta: [email protected]

Tel: 232-3017600

Ders Öğretim Üyesi Görüşme Günleri ve Saatleri: Çarşamba ve Perşembe öğleden sonra

Dersin İçeriği:

Sınav tarihleri ders planında belirtilecektir. Sınav tarihleri kesinleştiğinde,

tarihlerde değişiklik yapılabilir.

Hafta Konular Açıklama

(açılıp kapanabilir)

1. Doğrusal olmayan progralamadaki temel kavramlar

2. Bir ve çok boyutlu kısıtsız doğrusal olmayan programlama

3. Çok boyutlu kısıtsız doğrusal olmayan programlama

4. Kısıtlı doğrusal olmayan programlama ve ceza yöntemleri

5. Ara sınav

6. Geometrik programlama 1

7. Geometrik programlama 2

8. Doğrusal olmayan programlamanın tasarım optimizasyon

problemleri üzerine uygulamaları

9. Çok amaçlı optimizasyondaki temel kavramlar

10. Pareto optimumu

11. Çok amaçlı optimizasyon teknikleri

12. Çok amaçlı optimizasyon teknikleri üzerine uygulamalar

13. Çok amaçlı optimizasyon tekniklerinin endüstri mühendisliği

problemlerine uygulanması

14. Dönem projesi sunumları








*Course Name:

Principles of Sustainability

*Course Level: B.Sc. *Course Code IND 4912 /END 4912

*Year/Semester: 4 / Fall-Spring *Course Status: Elective




*Instructors:






*ECTS Credits: 4

*Course Objective:

To provide an understanding of the main issues in industrial ecology and sustainability based on

relevant theories and applications.

*Learning Outcomes:

LO1. Ability to define the main issues in both industrial ecology and sustainability based on relevant

theories and cases.

LO2. Ability to explain the importance of industrial ecology and sustainability concepts for industrial

engineering activities

LO3. Ability to model the industrial engineering problems considering environmental and

sustainability issues

LO4. Ability to solve the industrial engineering problems which considers environmental and

sustainability issues

LO5. Ability to follow current sustainability issues in industrial engineering








Mid-term exam 2

Quiz

Homework

Assignments/

Presentation

x 25

Projects

Laboratory work

Final Exam x 50


the lecture

Assessment Criteria



Textbooks:

T.E. Graedel and B.R. Allenby, Industrial Ecology and Sustainable Engineering 1st edition,

Prentice Hall, 2010, ISBN: 0-13-814034-0





-


*Course Content:



Week Topics: Notes

1. Introduction to industrial ecology

2. Humanity and technology

3. The concept of sustainability

4. Industrial ecology and sustainable engineering

5. Introduction to life cycle assessment

6. Industrial ecosystems

7. Material flow analysis

8. Energy and industrial ecology

9. Mid-Term Exam

10. Modeling in industrial ecology

11. Examples of industrial ecology models

12. Scenarios related to industrial ecology

13. Presentations

14. Presentations





*Name of the Department: Dept. of Industrial

Engineering

*Course Name: ENTERPRISE RESOURCE

PLANNING

*Course Level: B.Sc. *Course Code: END 4914


*Instruction Language:Turkish *Course Teaching System:









*ECTS Credits: 4

*Course Objective:

Enterprise Resource Planning (ERP) Systems are software systems used to support information

management in companies. They help to deal with information about orders, inventory,

accounting, human resources, production, and so on. The main goal of this course is to facilitate

basic understandings of: how ERP systems improve the effectiveness of information systems in

organizations; the role of process modeling in redesigning business models; functional modules of

the ERP Systems; the interrelationships among business processes; concepts behind the modules

and functions (patterns, conceptual models); the information systems development process for

enterprise systems, including planning, design, and implementation; the role of ERP in supporting

e-Business.

*Learning Outcomes:

1. Identify the factors that led to the development of Enterprise Resource Planning (ERP)

systems

2. Define integrated information systems, and state why they are important for organizational

success

3. Establishing the functional components of ERP systems and their relationships (data and

information flows between them) by process analysis

4. Having the ability to use the database management and query language on the base level

5. Discuss the key issues in managing an ERP implementation project

6. Gaining ability to solve the case through ERP systems


Learning and Teaching Strategies: The objective of this course is to make students aware of the potential and limitations of enterprise

systems. This objective will be reached through lectures, case studies, guest speakers, and laboratory

work.





Mid-term exam X 35

Quiz

Homework

Assignments/

Presentation

X 15

Projects

Laboratory work

Final Exam X 50


the lecture

Note:


DEBIS menu.

Assessment Criteria




Textbooks

Enterprise Resource Planning,Mary Sumner, Pearson Education, Inc,2005

Concepts in Enterprise Resource Planning,Ellen F. Monk,Bret J. Wagner, ,Thomson Course

Technology,UK,2008

Supplementary Books

Production: Planning, Control, and Integration, D. Sipper,R. L. , Jr Bulfin, , McGraw-Hill, 1998

Manufacturing Planning and Control Systems, T. E. Vollmann,W. L. Berry, D. C. Whybark,

Irwin, Boston, 1998

ERP: The Dynamics of Operations Management, A. Shtub, Kluwer Academic Publishers, 1999








Tuesday-Thursday, 13:00-16:00

*Course Content:





to add some

explanation

1. Introduction: The short history of ERP, important components and

their functions in ERP system

2. The Development of Enterprise Resource Planning Systems, to

investigate ERP market

3. Business functions, process requirements and data flows between

the functions

4. Marketing Information Systems and the Sales Order Process

5. Production and Supply Chain Management Information Systems

6. ERP Systems: Finance and Accounting

7. Human Resources Processes with ERP

8. Intermediate exam

9. Reengineering and ERP

10. Process Modeling, Process Improvement, and ERP Implementation

11. ERP and Electronic Commerce

12. Managing an ERP Project

13. Project Application: Lab. Application I

14. Project Application: Lab. Application 2








*Course Name:

Risk Management

*Course Level: Undergraduate *Course Code IND 4915/END 4915





*Instructors:






*ECTS Credits: 4

*Course Objective:

The objective of this course is to provide students with an understanding of the concepts and methods

of risk assessment and management, and to teach how to apply risk analysis and assessment in real

world settings.

*Learning Outcomes:

LO1: Achieve an understanding of the concepts and methods of risk assessment and management

LO2: Be able to explain enterprise risk management processes

LO3: Be able to use basic risk assessment and analysis tools

LO4: Be able to apply risk analysis and assessment in real world settings

LO5: Be able to discuss implementation issues







Mid-term exam 2

Quiz

Homework

Assignments/

Presentation

X 25

Projects

Laboratory work

Final Exam X 50


the lecture

Assessment Criteria


Textbooks:

Risk Modeling, Assessment, and Management, Yacov Y. Haimes, John Wiley & Sons., 2004.

Reference Books:

Probabilistic Risk Analysis, T. Bedford, R. Cooke, Cambridge, 2001.

Risk Analysis, T. Aven, Wiley, 2008.

Enterprise Risk Management, J. Lam, John Wiley & Sons., 2003.





-


*Course Content:

Week Topics: Notes

1. Introduction to Risk Concepts

2. Risk Management

3. Risk Management

4. Disaster Management, Crisis Management

5. Enterprise Risk Management

6. Enterprise Risk Management

7. Basic tools of risk assessment - risk assessment matrices, fault trees, event

trees, simulation and statistical models, influence diagrams etc.

8. Basic tools of risk assessment

9. Basic tools of risk assessment

10. Midterm exam









Engineering


Engineering



*Course Name: Production Scheduling

(Course Title)






*Instructors:






*ECTS Credits: 4

*Course Objective:

The objective of this course is to introduce students various scheduling scheduling problems that arise

in manufacturing and service organizations. In this course, optimization and heuristic methods used

for solving single machine scheduling, paralel machine scheduling, flow shop and job shop scheduling

problems will be taught.

*Learning Outcomes:

1. To describe scheduling problems that arise in manufacturing and service

2. To define scheduling and sequencing concepts

3. To identify real life scheduling problems

4. To distinguish appropriate solution approaches for different performance measures

5. To be able to solve single and multi machine scheduling problems defined for different performance

measures, using a scheduling software








Mid-term exam x 25

Quiz

Homework

Assignments/

Presentation

x 25

Projects

Laboratory work

Final Exam x 50


the lecture

Note:


DEBIS menu.

Assessment Criteria




Textbook(s):

Scheduling: Theory, Algorithms, and Systems by Michael L. Pinedo, 2008

Elements of sequencing and scheduling/ by Kenneth R. Baker, 1998.







*Course Content:





to add some

explanation, this

column can be

selected from the

DEBIS menu.

1. Introduction to Scheduling, classification of scheduling

problems

2. Single machine problems: simple dispatching rules

3. Single machine problems: real time scheduling, NP-hard

scheduling problems, branch and bound, dynamic

programming, approximations

4. Parallel machine scheduling

5. Parallel machine scheduling

6. Flow shop scheduling

7. Flow shop scheduling

8. Midterm

9. Job shop scheduling

10. Job shop scheduling, Open shop scheduling

11. Lekin software applications

12. Stochastic scheduling

13. Developing mathematical models to solve scheduling problems

14. Student presentations







Engineering

*Course Name: Quantitative Techniques in Industrial

Engineering

*Course Level: Bachelor degree *Course Code: IND 4917/END 4917


*Instruction Language: English/

Turkish

*Course Teaching System: formal education



3

*Instructors: Assoc. Prof. Dr. Bilge Bilgen

Theory

Application

Laboratory

Course Coordinator:



*ECTS Credits: 4

*Course Objective:

The primary purpose of this course is to provide students with a more detailed understanding of

various operations research techniques, their underlying assumptions, the procedures for implementing

them, and how to interpret them in the context of industrial engineering operational situations.

*Learning Outcomes:

1. An ability to define application areas of quantitative techniques

2. An ability to use optimization techniques in industrial engineering decision making

3. Develop skills in structuring, solving analyzing industrial engineering problems

4. An ability to solve design optimization problems via mathematical programming models

5. An ability to use mathematical programming languages such as ILOG OPL studio in the solution

phase

*Learning and Teaching Methods:/ The presentations which are prepared by using books, articles


Learning and Teaching Strategies: Theoretical Lectures, Case studies and Projects





Mid-term exam X 35

Quiz

Homework

Assignments/

Presentation

X 15

Projects

Laboratory work

Final Exam X 50


the lecture

Note:

Assessment Criteria


Textbook(s): Operations Research: Applications and Algorithms, Cengage Learning, Wayne L.

Winston


Quantitative Analysis for Management, Pearson, Prentice Hall, 2009, Render B., Stair, R.M., Hanna,

M.E.

An Introduction to Management Science Quantitative Approaches to Decision Making, South-Western

Cengage Learning.

References:

Materials:



[email protected]

*Instructor Office Hours: Wednesday: 14:00-16:00

*Course Content:



Week Topics: Notes:

1. Introduction

2. Decision Theory

3. Advanced Linear Programming Applications

4. Advanced Linear Programming Applications

5. Advanced Integer Programming Applications

6. Advanced Integer Programming Applications

7. Network Model Formulations

8. Convex and Concave Functions

9. Nonlinear Programming

10. Mid Term Exam

11. Nonlinear Programming

12. Stochastic Programming Applications

13. Presentations

14. Presentations





Engineering


Engineering



*Course Name: (Course Title) Management

Science Modeling with Spreadsheets

*Course Level: Undergraduate *Course Code: IND 4918 / END 4918

*Year/Semester: Fall-Spring *Course Status: Elective




*Instructors:






*ECTS Credits: 4

*Course Objective:

The objective of this course is to introduce students to the Spreadsheet Modeling approach and to

develop skills in order to solve problems in production and operations management. The spreadsheet

software Microsoft Excel will be taught, various decision models will be developed by using Excel’s

built-in functions and several add-ins for Excel.

*Learning Outcomes:

1. To be able to describe spreadsheet modeling concepts

2. To be able to model problems that arise in manufacturing and service systems, using spreadsheets

3. To be able to distinguish between different real life decision problems

4. To be able to solve problems in production and operations management using spreadsheets

5. To be able to analyze the solution decision








Mid-term exam 25

Quiz

Homework

Assignments/

Presentation

25

Projects

Laboratory work

Final Exam 50


the lecture

Note:


DEBIS menu.

Assessment Criteria




Textbook(s):

1) Introduction to Management Science: A Modeling and Case Studies Approach with Spreadsheets,

Frederick S. Hillier, Mark S. Hillier, 3/e, McGraw Hill publishers. ISBN 978-0-07-312903-7

2) Managerial Decision Modeling with Spreadsheets, N. Balakrishan, B. Render, R.M.Stair, Prentice

Hall, 2007, ISBN 0-13-195114







*Course Content:





to add some

explanation, this

column can be

selected from the

DEBIS menu.

1. Introduction to Management Science Models

2. Basic Spreadsheet Modeling Concepts

3. Using Spreadsheets in Decision Modeling

4. Modeling, Solving Linear Programming Problems using Excel’s

Solver

5. Sensitivity Analysis using Solver

6. Solving Network Optimization Problems using spreadsheets

7. Data Envelopment Analysis

8. Midterm

9. Macros, VBA, Premium Solver Platform

10. Solving Integer Programming Problems using Solver

11. Case studies on various real world Production and Operations

Management Problems

12. Case studies







*Offered by: Metallurgy and Materials Engineering

*Offered to:

Metallurgy and Materials Engineering


Textile Engineering



*Course Name: Technical Drawing

(Course Title)

*Course Level: *Course Code: MAK 1011

*Year/Semester: 1/1 or 1/2 *Course Status: Compulsory





below.

*Instructors:

Assistant Prof. Dr. Bahadır UYULGAN



Assistant Prof. Dr. Bahadır UYULGAN


*ECTS Credits: 4

*Course Objective: International norms of Engineers determined that a technical language and

providing the correlation between design and manufacturing drawings are available to read technical

drawings and the skill to create drawings. Another objective of this course, taught the rules of

technical drawing with the classical world's most widely used program, AutoCAD Computer Aided

Design and Drafting (English version) to teach how to perform the aid of drawings.

*Learning Outcomes:

1. While technical drawing, ability to use tools and equipment that have information about.

2. Standard paper, line types and techniques of writing norms, ability to apply the engineer drawing.

3. To perform geometric drawings

4. Perspective view of simple machine parts, with the first regional projection of defined (ISO-E)

ability to create three-looking "epür" drawing

5. Ability to put dimension on appearance and perspective drawings

6. Ability to apply the methods of cross-sectional on technical drawing

7. To complete the missing appearance of a shape that given other appearance

8. Surface quality, passing exercises, shape and position tolerances on the drawing show signs of

9. To prepare production picture of product part

10. To make drawing using a computer



1: Lecture 2: Questions and Answers, 3: Discussion, 4: Practice and Application





Mid-term exam x 20

Quiz x 15

Homework

Assignments/

Presentation

x 15

Projects

Laboratory work

Final Exam x 50


the lecture

Note:

Lecture 2 hours per week hand drawing, computer drawing is 2 hours. Midterms, assignments and

final form of hand drawing. The application consists of 4 units, and computer drawing in the form of

quizzes. There are at least 40 pages of drawing paper.

1. Midterm - (A)

2. Midterm - (B)

Assignment - (C)

Implementation - quiz - (D)

Final - (E)

Assessment Criteria

Learning Outcomes Teaching Methods Measurement Methods

1 1,2,3,4 A ,C,D,E

2 1,2,3,4 A,B,C,D,E

3 1,2,3,4 A ,C,D

4 1,2,3,4 B,C,D,E

5 1,2,3,4 B,C,D,E

6 1,2,3,4 B,C,D,E

7 1,2,3,4 D,E

8 1,2,3,4 D,E

9 1,2,3,4 D,E

10 1,2,3,4 C


Textbook(s): Macit Buluç, 1982 Teknik Resim I, DEÜ Mühendislik Fakültesi Yayınları

Supplementary Book(s): Şen, İ. Zeki ve Özçilingir, Nail, Teknik Resim - Temel Bilgiler, İstanbul, DE-

HA Yayımcılık, 2007

Prof. Dr. Nejat Kıraç, Teknik Resim, Nobel Yayın Dağıtım, 2005

Şen, İ. Zeki ve Bora, Halil, Autocad 2008 2D ve 3D Design, İstanbul: DE-HA Yayımcılık, 2008

References: Technisches Zeichnen; Susanna Labisch,Christian Weber, 3., überarbeitete und erweiterte

Auflage 2008

Materials:


70% attendance is compulsory courses. For each two-hour course is a signature. If there is something

lacking staple will fall from a total of more than 8 signature.

Manual drawing lessons is compulsory to wear white uniforms. Person will not be taken on course

without the basic drawing tools like T-square, 0.5 and 0.3 pencil, eraser, set square, compass

In computer class, surfing the internet, facebook, twitter use chat programs, such as listening to music,

look at the picture gallery is forbidden and those who are removed from class.

Attendance in class is essential.


Bahadır UYULGAN

Metalurji ve Malzeme Mühendisliği Bölümü, Kat:1 Oda:200

Telefon: +901(232) 301 74 69

e- posta: [email protected]



Monday 15:00 to 17:00, Tuesdays 13:00 to 15:00, Wednesday 13:00 to 15:00, Thursday 13:00 to

15:00, Friday 10:00 to 12:00

*Course Content:



Week Topics: Notes:

1. Drawing class: Text and figures

Computer class: Layers, colors and lines. Arrangement of the

drawing screen and assistants. Text

2. Drawing class: Basic Geometrical Drawings

Computer Class: Basic drawing commands. Editing commands.

Dimensioning commands

3. Drawing class: Geometric Drawings

Computer class: Geometric Drawings

4. Drawing class: Geometric Drawings and Dimensioning

Computer class: Quiz 1

5. Drawing class: Views and Dimension

Computer Class: Perspective picture

6. Drawing class: 1. Midterm

Computer Class: Perspective picture

7. Drawing class: Appearances


8. Drawing class: Appearances

Computer class: Appearances

9. Drawing class: Section Views

Computer class: Section Views

10. Drawing class: Section Views

Computer class: Section Views

11. Drawing class: 2. Midterm


12. Drawing class: Slice of view and surface quality marks

Computer class: three-dimensional solid model drawing

13. Drawing class: Section Views, passing exercises, shape and

position tolerances

Computer class: three-dimensional solid model drawing

14. Drawing class: Drawing Section Views and production drawings





*Offered by:

Industrial Engineering *Offered to:




*Course Name:

Manufacturing Processes

*Course Level:

Undergraduate

*Course Code:

MAK 3029

*Year/Semester:

2/Spring

*Course Status:

Compulsory

*Instruction Language:

Turkish *Course Teaching System:

Formal education

*Prerequisite:

-

Prerequisite to: -


3 *Instructors:

Prof. Dr. Süleyman KARADENİZ



Prof. Dr. Süleyman KARADENİZ


*ECTS Credits: 5

*Course Objective:

The purpose of this course is to give theoretical knowledge about “Casting techniques”, “Forming

processes”, “Welding machines and Welding processes” and “Machining” subjects and to teach using

of these techniques in industry by giving examples.

*Learning Outcomes:

1. An ability to apply knowledge of mathematics, science, and engineering. An ability to design a

system, component or process to meet desired needs

2. An ability to function on multidisciplinary teams

3. The broad education necessary to understand the impact of engineering solutions in a global and

societal context

4. An ability to use the techniques, skills, and modern engineering tools necessary for engineering

practice

5. Investigation of new developed engineering applications

*Learning and Teaching Methods/Learning and Teaching Strategies: :

Assignment + Laboratory


1 Midterm Exam + 1 Final Exam



Mid-term exam X 30

Quiz

Homework

Assignments/

Presentation

X 10

Projects

Laboratory work X 10

Final Exam X 50


the lecture

Note

Assessment Criteria


Textbook(s):

1) İmal Usulleri, S. Anık, A. Dikicioğlu, M. Vural, Birsen Yayınevi, 1994

2) Kaynak Makinaları, S. Karadeniz, Gedik Eğitim Vakfı, 2009


References:

Materials:



+ 90 0232 388 31 38 -135 , [email protected]


+ 90 0232 388 31 38 -135 , [email protected]


Every working hour in weekdays (except course hours)

*Course Content:



Week Topics:

1. Definition of welding, Material examination, Destructive and

Nondestructive tests

2. Classification of welding processes, Electric arc welding, Arc

physics

3. Welding machines and equipments, Adjustment and control of

welding machines, Welding machine selection

4. Human health in welding, Electrodes and electrod selection

5. Microstructure of welding, welding defects

6. Gas Metal Arc Welding

7. Submerged Arc Welding

8. Gas welding and pressure welding processes

9. Machining

10. Midterm exam

11. Definition and advantages of casting, solidification of casting,

special cases in solidification of metals, Casting methods, sand

mold casting, molding processes in sand mold casting

12. Casting methods, sand mold casting, molding processes in sand

mold casting, Iron casting, Finishing processes, Casting defects and

controls, design of castings

13. Fundamentals of plastic deformation, Introduction of plastic

deformation processes, Rolling

14. Forging and extrusion, Rod and wire drawing, Sheet metal forming

processes







*Name of the Department: Textile

Engineering

*Course Name: Materials Information

(Course Title)

*Course Level: Bach. Sc. *Course Code: MMM 2011

*Year/Semester: 2011-2012 SPRING *Course Status: Compulsory


and exemplary problem solving

*Prerequisite: Type in Code Prerequisite to: Type in Code



below.

*Instructors:

Prof. Dr. Ali Aydin Goktas




Prof. Dr. Ali Aydin Goktas


*ECTS Credits: 3

*Course Objective:

The aim of this course is to give information about materials and atom structure and its bonding

properties, to explain crystal lattice systems, defects and and diffusion mechanisms, to inform

about mechanical properties, elastic and plastic deformations and strength increasing

mechanisms, to get the ability interpreting equilibrium diagrams, to acquaint metal production

methods and thermal treatments, to explain productions methods and usage areas of ceramics

and polymers.

*Learning Outcomes:

1.To have the knowledge about materials bonding structures,

2.To investigate lattice structures of crystals,

3.To have the ability drawing plane and directions for cubic lattices,

4.To explain crystal defects and perform calculations about diffusion mechanisms,

5.To investigate mechanical properties, and strength increasing mechanisms,

6.To understand phase and equilibrium diagrams,

7. To explain heat treatments of iron steel,

8. To have the knowledge about production methods of metals,ceramics and polymers.

*Learning and Teaching Methods:/ formal education and exemplary problem solving






Mid-term exam I. x 20

Mid-term exam II. x 20

Quiz x 10

Homework

Assignments/

Presentation

Projects

Laboratory work

Final Exam x 50


the lecture

Note:


DEBIS menu.

Assessment Criteria



Learning outcomes ; Mid-therm exams, quiz, and final exam


Textbook(s):

Materials Science and Engineering: an Introduction, William Callister, 7th. Edition. John Wiley

& Sons Inc( 2003)


Malzeme Bilimi ve Mühendisliği, W.F. Smith, 2001, (Translater in Türkish ): Nihat

G. Kınıkoglu

References:

Materials:






*Instructor Office Hours: Thursdays ;

*Course Content:



Week Topics: Notes:

1. Introduction to Materials science and engineering,

2. Structures of materials,

3. Structure of crystals and its investigation,

4. Solidifications, crystal defects,

5. Diffusion,

6. Determining of mechanical properties,

7. Mid- therm exam I.

8. Dislocations and strength increasing mechanisms,

9. Phase diagrams, equilibrium diagrams,

10. Production methods and applications of metals and alloys

11. Heat treatments of iron steels

12. Mid-therm exam II.

13. Shaping procedures and application fields of ceramics,

polymers and composites

14. Corrosion and protection of corrosion

tendustri.deu.edu.tr/wp-content/uploads/2010/07/ects...assistant professors name-surname research...

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