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TECHNOLOGICAL EDUCATION

INSTITUTION (T.E.I.) OF CHALKIDA

ECTS GUIDE

FOR

THE DEPARTMENT OF

AUTOMATION

ACADEMIC YEAR 2010-2011

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1. General Information This Department was established in 1999 in response to the growing importance of

Automatic Control and Systems Engineering to all branches of industry world-wide. The

Department provides a range of undergraduate degree courses, postgraduate degree

courses, and continuing professional development opportunities in Automatic Control and

Systems Engineering and associated topics.

The Department of Automation is committed to broadly-applicable research in the areas of

automatic control system with applications including automotive, aerospace, robotics,

advanced process control, etc. It aims at promoting and transferring scientific and

technological knowledge in the area of Automatic Control Technology through teaching and

applied research in order to provide the students with the necessary scientific and

technological knowledge, capacity and skills essential for Control Engineering.

2. Degree

The degree conferred upon completion of the curriculum studies is equivalent to a 4- year

Bachelor of Science of 240 ECTS credits (level 5A according to UNESCO's ISCED

classification system).

3. Duration and Structure of Studies The duration of studies is eight semesters. In the first seven semesters, obligatory and

elective courses in lecture form are offered in the above areas supported by laboratory and

Applied Exercises sessions. The students are required to attend the lectures and the

laboratory sessions, work on individual or team projects and present their results in oral and

written form. In the final semesters, the students are required to complete their senior project

while in the last semester they must do their practical training with a company.

The senior project, mandatory for the completion of one's studies, is based on a topic

selected by the student from a list of topics offered by the teaching staff. It gives the student

the opportunity to focus on a topic of their interest, to apply the knowledge and skills acquired

during their studies, to participate in medium and large scale experiments, to become familiar

with bibliographical research techniques, and apply their technical writing skills.

The practical training with a company, supervised by a member of the teaching staff, is also

mandatory for the completion of studies. It gives the students the opportunity to broaden their

knowledge acquiring hands on experience in real conditions, to familiarize themselves with

labour laws and workplace safety procedures and to obtain information necessary for the

completion of their senior project.

The Course Syllabus involves Obligatory (O), Obligatory Electives (OE) and Electives (E)

that can be Theoretical (T), Laboratory (L) or Mixed (M) courses. According to their content

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they are classified in General Core (GC), Special Core (SC), Specialization (S) and Human

Factors and Legislation Course (HFLC) courses.

The syllabus is structured based on the workload required by an average student ranging

from 50 to 60 hours per week depending on the semester level. The hours of class

attendance range from 25 to 27 per week depending on the semester. Each semester

carries 30 ECTS credits while the number of ECTS credits of a course depends on the

workload required by an average student.

The General and Special Core as well as the Specialization courses fall under one of the two

Divisions of the Department:

The Division of Automatic Control and

The Division of Software, Hardware and Automation Systems

4. Academic Staff

The Department academic staff includes the following members:

Division of Automatic Control Division of Software, Hardware and Automation Systems

Dr. Fotis Koumboulis Professor of Robotics and Industrial Automation e-mail: [email protected]

Dr. Maria Tzamtzi Associate Professor of Automatic Control Systems e-mail: [email protected]

Dr. Apostolos Leros Associate Professor of Automatic Control Systems e-mail: [email protected]

Dr. Dimitios Karras Associate Professor of Digital Systems e-mail: [email protected]

Dr. Michalis Skarpetis Assistant Professor of Automatic Control Systems - Hydraulic and Pneumatic Automatic Control Systems e-mail: [email protected]

Panagiotis Bournas Professor of Application of Electronics

Dr. George Panagiotakis Assistant Professor of Automatic Control of Distributed Systems e-mail: [email protected]

Dr. Antonios Koukos Professor of Application of Digital Electronics e-mail: [email protected]

Dr Economakos Christoforos Assistant Professor of Automatic Control with Optimazation Techniques e-mail: [email protected]

Dr. Konstantinos Tzierakis Assistant Professor of Automatic Control of Motion and Navigation systems [email protected]

mailto:[email protected]








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Dr. Nikolaos Katevas Professor of Application of Electric Measurements e-mail: [email protected]

Dr. Nikolaos Kouvakas Professor of Application of Modeling and Control of Process Systems e-mail: [email protected]

SPECIAL TECHNICAL PERSONNEL

Giannis Sigalas Automatic Control Systems [email protected] Tsoukalas Marios Software and Hardware for Computerized Systems [email protected]





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5. Course Syllabus

1st Semester

Course Code No. Course Description ECTS Credits

TA 0101 DIFFERENTIAL AND INTEGRAL CALCULUS 10

TA 0102 LINEAR ALGEBRA 5

TA 0103 PHYSICS I 5

TA 0104 STRUCTURED COMPUTER PROGRAMMING 5

TA 0105 DESIGN OF COMBINATIONAL LOGIC SYSTEMS 5

TOTAL 30

2nd

Semester


TA 0201 ELECTRIC CIRCUITS 5

TA 0202 PHYSICS ΗΗ 4

TA 0203 OBJECT-ORIENTED COMPUTER PROGRAMMING 5

TA 0204 DESIGNING OF SEQUENTIAL LOGIC SYSTEMS 5

TA 0205 SIGNAL AND SYSTEMS 6

TA 0206 INTRODUCTION TO ELECTRONICS 5

TOTAL 30

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3rd

Semester


TA 0301 PROBABILITY AND STATISTICS 4

TA 0302 ELECTRICAL MEASUREMENTS

4

TA 0303 INTRODUCTION TO AUTOMATIC CONTROL 9

TA 0304 COMPUTER NETWORKS 4

TA 0305 COMPUTER ARCHITECTURE 5

TA 0306 ANALOG ELECTRONIC SYSTEMS 4

TOTAL 30

4th

Semester


TA 0401 AUTOMATIC CONTROL SYSTEMS DESIGN 8

TA 0402 DIGITAL CONTROL 4

TA 0403 AUTOMATION USING PLC AND MICROCONTROLLERS 9

TA 0404 SCIENCE AND HUMAN 3

TA 0405

DIGITAL SIGNAL PROCESSING

OR

QUALITY CONTROL

4

(4)

TA 0406

DESIGN AND CONSTRUCTION OF ELECTRONIC CIRCUITS USING

COMPUTERS

OR

MONDELING AND CONTROL OF MECHANICAL SYSTEMS

2

(2)

TOTAL 30

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5th

Semester: FIFTH HALF-YEAR PERIOD


TA 0501 INDUSTRIAL CONTROL 10

TA 0502 CONTROL OF ELECTRIC MOTORS 5

TA 0503 OPTIMAL CONTROL 5

TA 0504

ELEMENTS OF LAW AND TECHNICAL LEGISLATION

OR

BUSINESS ADMINISTRATION

2

TA 0506

DATA STRUCTURES AND DATABASES

OR

DATA COLLECTION SYSTEMS

4

(4)

TA 0507

PHYSICAL & CHEMICAL PROCESSES

OR

TELECOMMUNICATION SYSTEMS

4

(4)

TOTAL 30

6th

Semester: SIXTH HALF-YEAR PERIOD


TA 0601 INTRODUCTION TO ROBOTICS 6

TA 0602 PROCESS CONTROL 6

TA 0603 ENGLISH TERMINOLOGY OF AUTOMATION 4

TA 0604 BUSNESS ANALYSIS FOR AUTOMATION 4

TA 0605

NEURAL NETWORKS AND FUZZY LOGIC

OR

SOFTWARE TECHNOLOGY

5

(5)

TA 0606

CAD-CAM

OR

INFORMATION SECURITY AND CRYPTOGRAPHY

5

(5)

TOTAL 30

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7th

Semester: SEVENTH HALF-YEAR PERIOD


TA 0701 DISTRIBUTED CONTROL SYSTEMS 10

TA 0702 TECHNICAL AND ECONOMICAL ANALYSIS OF ENTERPRISES 5

TA 0703

ROBOT CONTROL AND PROGRAMMING

OR

GUIDANCE AND NAVIGATION CONTROL SYSTEMS

5

(5)

TA 0704

INTELLIGENT CONTROL

OR

E-BUSINESS

5

(5)

TA 0705

CONTROL OF HYDRAULIC AND PNEUMATIC SYSTEMS

OR

MECHATRONICS

5

(5)

TOTAL 30

8th

Semester: EIGHTH HALF-YEAR PERIOD


TA 0801 PRACTICE 10

TA 0802 GRADUATION PROJECT 20

TOTAL 30

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5.1 Course Description

First Semester

Course Description Differential and integral Calculus

Typical Semester 1st

Category General Core Course (GCC) Obligatory course (O)

Hours per Week 2 Theory 2 Applied Exercises 0 Lab

ECTS Credits 5

Learning Outcomes

This course aims to offer the students basic knowledge of differential and integral calculus. At the end of course the students should know how to solve linear differential equations with particular emphasis on their solution using Laplace transform.

Syllabus

Functions of a single variable. Limits and continuity of functions. Bounds of a continuous function. Derivative of a function. Derivative of a composite function, higher order derivatives, differential of a function. Applications of derivatives in the study of functions (monotonicity, convexity, extrema). Mean value theorem. Integrals of functions of one variable. Definite integral. Riemann Integral. Integral inequalities. First and second theorem of mean value. Areas. Smooth curves. Length of curves. Differentiation of integrals. Indefinite integral. Generalized integrals. Differential equations. Homogenous Differential Equations. Linear D.E. of higher order: Homogenous and non homogenous D.E. Determination of general solution of linear D.E. from the general solution of corresponding homogeneous equation. Lowering of order. Homogenous D.E. with constant factors. Systems of D.E. The notion of a system of D.E. Linear homogenous D.E. systems. Linear homogenous D.E. systems with constant coefficients. Laplace Transform. Definitions. Properties and inversion of Laplace transform. Convolution. Application to the solution of problems with given initial values and D.E. systems. Stability. Lyapunov definition of stable solution. The Lyapunov method. The linearization method.

Recommended Reading

1. Tom Apostol (1969), Calculus, John Wiley & Sons Inc. 2. Louis Brand (1984), Advanced Calculus (in Greek), Hellenic

Mathematical Association (Brand, Louis. Advanced Calculus: An Introduction to Classical Analysis. New York: Wiley)

3. Lampiris, Kouris, Anastasatos (1999), Mathematics Η (in Greek), Difros (Γίθρος).

4. Kikilias, Kouris (2002), Differential and Integral Calculus (in Greek), Diros (Γερός).

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Course Description Linear Algebra




ECTS Credits 5

Learning Outcomes This course aims to offer the students basic knowledge of applied linear algebra.

Syllabus

Real and complex vector spaces, subspaces, base and dimension of vector spaces. Matrices and linear maps. Matrix determinants. Rank of a matrix. Change of basis. Similar matrices. Canonical form of a matrix. Inner-product spaces. Orthonormal bases. Orthogonal complement. Self-conjugate, jsometrjc, orthogonal and orthonormal transformations. Linear systems. Elementary transformations. Solution of linear systems. Eigenvalues. Eigenvectors. Diagonalization of matrices. Cayley – Hamilton theorem. Minimal polynomial. Quadratic forms. Taylor series. Uniform convergence of sequences and series of functions. Interval of convergence. Properties of power series. Taylor and MacLaurin theorem. Taylor and MacLaurin series. Correspondence with series. Basic propositions for convergence. Absolute convergence. Conditional convergence. Cauchy criterion. Monotonous sequences. Numerical series.

Recommended Reading

1. Lipschutz-Lipson, Linear Algebra (in Greek), Tziola (TΕΗΟΛΑ). 2. Ben Nobles, (1969), Applied Linear Algebra, Prentice Hall. 3. Dimitrokoudi (2002), Linear Algebra, Diros (Γερός). 4. Agnew, Palmer Ralph, (1962), Analytical Geometry and Calculus

with vectors (Calculus), McGraw-Hill. 5. Gantmacher, F. R., (1998), Theory of matrices. American

Mathematical Society. .

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Course Description Physics I




ECTS Credits 5

Learning Outcomes The comprehension and familiarization with the fundamental notions of Mechanics and Electromagnetism

Syllabus

Rectilinear, angular and general curvilinear motion: position vector, velocity, acceleration, cartesian, cylindrical and orbital frames of reference. Relative translational and relative rotational motion. Dynamics of bodies: inertia, momentum, angular momentum, Newton laws. Work and energy. Fields. Electric charge and electric field, Coulomb law, electric flux, Gauss law and applications, electrostatic potential, capacitance and dielectrics, current, resistance and electromotive force, direct current circuits, magnetic field, Ampere and Faraday laws, sources of magnetic field, electromagnetic Induction, self-induction, mutual induction, alternating current, electromagnetic waves.

Recommended Reading

1. D. Halliday – R. Resnick, (1976) , Physics, volumes 1,2, Wiley. 2. Young Hugh , (1994) , University Physics, volume Β’,

Electromagnetism, Optics, Modern Physics. 3. H. C., Ohanian, (1985), Physics, Norton. 4. Hudson Alvin- Nelson Rex, (1990), University physics, Philadelphia

Saunders College Publishing. 5. Κ. Ford, (1995), Classic θαη Modern Physics.

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Course Description Structured Computer Programming




ECTS Credits 5

Learning Outcomes This course aims to offer to the students the basic notions of structured planning and to make them capable of solving problems in C programming language.

Syllabus

Introduction to computers. Historical background, overview. Introduction to computer architecture (fetch-execute cycle, central processing unit, main memory, arithmetic logic unit, types of instructions, addressing methods, peripheral devices, secondary memory). Programming languages and language processors: classification of programming languages, compilers and interpreters, linkers and loaders, creation of executable code. Procedure of solving problems with a computer: definition and analysis of physical problem, creation of algorithm, coding, finding and correction of errors, testing, documentation and maintenance of program. Structured design and programming: Modular design, design «from general to specific», structured programming. Basic patterns. The C programming language. Simple data types, constants and variables, expressions, simple commands. Control structures, functions and procedures, passing of parameters, iteration and recursion. Complex data structures of data and applications: arrays, structures, unions, pointers, dynamic memory allocation, library functions. Concrete and abstract data types, static and dynamic implementation. Performance of algorithms and data structures. Tables, special forms of tables, algorithms for searching and sorting.

Recommended Reading

1. Brian W. Kernighan, Dennis M. Ritchie. "Ζ Γιώζζα Προγρακκαηηζκού C", (1988) Prentice-Hall

2. H. Schildt, learning handbook for Turbo C, Kleidarithmos. 3. Kl. Thraboulidis, Procedural Programming, from C to JAVA (in

Greek) Java, Tziola (ΣΕΗΟΛΑ). 4. Σan-D’orazio, C for engineers, (in Greek), Tziola (ΣΕΗΟΛΑ).

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Course Description Design of Combinational Logic Systems


Category Special Core Course (SCC) Obligatory course (O)


ECTS Credits 5

Learning Outcomes The acquisition of basic knowledge and the familiarization with digital components and techniques for designing and analysis of simple combinational digital systems.

Syllabus

Binary Systems. Change of number base, octal and hexadecimal numbers, complements, signed binary numbers, binary codes. Boole Algebra. Basic logic operations, logic gates (AND, OR, NOT, NAND, NOR, XOR). Simplification of Boole logic function. Biplanar implementations. Karnaugh Tables. Minimisation of Systems. Don’t care conditions. Combinational logic (Design, analysis, adders, subtractors, code converters, comparators, decoders, multiplexers). Codes for detection and correction of errors. Read-only memory ROM, Programmable Logic Array PLA.

Recommended Reading

1. W. I. Fletcher, (1980), An engineering approach to Digital Design, Prentice- Hall Inc., New Jersey.

2. Kalokasis Nikos, (1995), Digital combinational Logic applications (in Grrek), Papasotiriou, Athens.

3. M. Morris Mano, (1992), Digital Design, Prentice Hall. 4. W. I. Fletcher, (1980), An engineering approach to Digital Design,

Prentice- Hall Inc., New Jersey.

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Second Semester

Course Description Electric Circuits

Typical Semester 2nd



ECTS Credits 5

Learning Outcomes The acquisition of basic knowledge on electric signals and circuits and the familiarization with the techniques for analyzing and studying circuits in the time domain and in the frequency domain.

Syllabus

Introduction to electric signals. Analysis of electric circuit elements (ohmic resistor, capacitor, inductor, independent and dependent current and voltage sources). Fundamental principles of electric circuits (electric current, voltage, Ohm’s law, Kirchhoff’s law, elements of topology etc.). Principles of analysis of electric circuits. Simple theorems of electric networks. Connections: parallel, series and mixed. Thevenin and Norton theorems. Transformation of sources. Symmetric networks. Networks in the sinusoidal steady state, phasors. Impedance. Power. Transient phenomena. Analysis of circuits in the time domain and in the frequency domain. Response of simple circuits RC, RL, RLC. Resonance. Two-port circuits. Transfer function. Laplace transformations.

Recommended Reading

1. Η. Γ. Kanellopoulos I., Bazouras X., Livieratos S., (1991), Electric Circuits (in Greece), Papasotiriou, Athens.

2. W. Hayt, J. Kemmerly, Analysis of Electric Circuits, Tziola, Thessalonica.

3. Allan H. Robbins, Wilhelm Miller, Judd Robbins, Alan R. Miller, (1999), Circuit Analysis: Θεωρία & Practice, Delmar Learning.

4. Ν. Κοιιηόποσιος, (2003), Αλάισζε Κσθιωκάηωλ, Δθδόζεης Ίωλ, Αζήλα.

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Course Description Physics II




ECTS Credits 4

Learning Outcomes The in-depth comprehension and familiarization with the rigid body dynamics and the acquisition of basic knowledge on fluid mechanics.

Syllabus

Oscillations: free response, forced oscillation, oscillation with damping, coupled oscillations. Rigid body dynamics: translational motion, rotation around a constant axis, plane motion, pole of rotation, rotation around constant point (angular velocity and angular acceleration), general motion in space. Relative motion of bodies. Euler equations. Angular momentum and kinetic energy, inertia, principles of impulse and momentum, principles of work and energy. Applications (collisions, balancing, axis-symmetric solids). Mechanical properties of solids. Fluid mechanics. Kinematics of fluids, equation of continuity for fluids, energy equation, momentum equation, Bernoulli equation, measurement of static and total pressure and of flow rate. Real fluids, losses in pipes. Instruments of measurement for flow rate and velocity. Flow around solid boundaries, boundary layer, force of resistance, lift.

Recommended Reading

1. D. Halliday – R. Resnick, (1976), Physics, volumes 1,2, Wiley. 2. Douglas Gasiorek-Swafield, Fluid Mechanics, (1985), Longman

Scientific & Technical. 3. J J.Francis, P.Minton, Civil Engineering Hydraulics, 1984, Arnold. 4. H. C., (1985), Ohanian, Physics, Norton.

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Course Description Object-Oriented Computer Programming




ECTS Credits 5

Learning Outcomes

Presentation of methods of transferring an algorithmic formulation of a problem to a programming language. The student will cover the entire spectrum of the evolution phases of a problem from its original formulation up to the acquisition of results. Upon completion of the course students should be able to write complete programs and to manage problem data.

Syllabus

Object-oriented Programming, principles of syntax and translation, data and operations, control structures, program structure and environment, memory management, abstract data, object-oriented characteristics, exception mechanisms and concurrency principles. As a basis for the study of the previous concepts, which mainly refer to imperative programming, the languages, C++, Visual Basic and Java are used. Functional programming, is also introduced, using as an example the language Lisp.

Recommended Reading

1. Β. Stroustrup, C++ Programming Language. 2. Kl. Thraboulidis, Object-Oriented Computer Programming, from C

to Java, (in Greek), Tziola (ΣΕΗΟΛΑ). 3. H. Schild, Java 2 guide (translation) 4. B., Stroustrup, C++ Programming Language (translation). 5. M. Halvorson , Step By Step, Microsoft Visual Basic 6,

Kleidarithmos (Κιεηδάρηζκος).

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Course Description Designing of Sequential Logic Systems




ECTS Credits 5

Learning Outcomes The familiarization with analysis and synthesis techniques for sequential digital systems.

Syllabus

Synchronous sequential systems, analysis of sequential systems, design of sequential circuits with clock. Flip flops: D, T, SR, JK. Registers, counters and memory units. Counters: 2Ν-state counter, series and parallel connection of counters, synchronous counters, algebraic designing of counters, decimal binary counter, Decimal Gray code counter, asynchronous counters, asynchronous counters with reset possibility. Shift registers as counters and sequence generators: serial register with parallel input, right and left shift registers, shift register as counter, design of decimal counter, sequence generator using a shift register. Synchronous Sequential Systems (clock-driven systems): Analysis of a synchronous sequential circuit, design of a pulse-sequence generator, Moore and Mealy state machines, pulse-synchronized circuits, state reduction. Algorithmic state machines. Asynchronous sequential systems (event-driven)

Recommended Reading

1. Z. Kohavi, (1978), Switching and Automata Theory, McGraw-Hill. 2. F.J. Hill and G.R. Peterson, (1981), Introduction to Switching

Theory and Logical Design, John Wiley. 3. W. I. Fletcher, (1980), An engineering approach to Digital Design,

Prentice- Hall Inc., New Jersey.

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Course Description Signals and Systems




ECTS Credits 6

Learning Outcomes

On successful completion of the course, students will be able to:

Understand and make use of basic analysis concepts of continuous-time,

as well as discrete-time, signals and systems, which are necessary for a

variety of engineering applications.

Syllabus

Basic concepts of continuous-time signals and systems. Transform in the

generalized frequency domain. Convolution, correlation, autocorrelation

and sampling of sinusoid signals. The concepts of stationarity and

ergodicity Basic properties of Fourier transform and orthogonal transforms.

Basic classes of systems. System descriptions: differential equations,

transfer function, impulse response and state space equations.

Equivalence of descriptions. Block diagrams, signal flow graphs. Stability.

Recommended Reading

1. S. Haykin, S., Van Veen, B., Signals and Systems 2. Theodoridis, S, Mpermperidis S., Introduction to Signals and

System Theory (In Greek).

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Course Description Introduction to Electronics




ECTS Credits 5

Learning Outcomes The acquisition of knowledge about basic electronic components and circuit elements and the familiarization with the analysis and synthesis of simple electronic circuits.

Syllabus

Semiconductors (intrinsic-doped). Crystal diodes (ΡΝ junction, ΡΝ diode in forward and reverse bias, characteristic curve). Zener diodes (applications, stabilizers, limiters). Basic circuits with diodes - diode applications (half-wave rectification, full-wave rectification, clipping circuits, multipliers). Transistor, BJT and FET. Characteristics, bias, thermal stabilisation. Basic connections. Regions of operation and applications (switch, amplifier, analog and digital circuits). Equivalent circuit models. Small-signal analysis. Thyristors (SCR, DIAC, TRIAC). Elements of optoelectronics (photodiodes, light-emitting diodes, photoresistance, phototransistor).

Recommended Reading

1. Paul Horowitz, Winfield Hill, The Art of Electronics, Cambridge University Press.

2. Floyd, (1999), Electronic Devices, Prentice Hall. 3. Paul Scherz, (2000), Practical Electronics for Inventors, McGraw-

Hill. 4. Hatch, John J., (1999), Electronics for Technicians. 5. J. Millman and A. Grabel, (1987), Microelectronics, McGraw Hill.

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Third Semester

Course Description Probability and Statistics

Typical Semester 3rd



ECTS Credits 4

Learning Outcomes The course provides basic knowledge in the theory and the applications of probabilities.

Syllabus

Descriptive statistics. Bivariate data and cross-correlation. The notion of probability and the laws of probability. Conditional probability. Independent events. Theorem of total probability and Bayes formula. Random variables. Special discrete and continuous distributions of one variable. Mean value and variance of random variables. Multivariable distributions. Distribution of a function of random variables. Characteristic function. Central limit theorem. Statistical inference and sampling, general principles. Estimation of parameters. Intervals of confidence and hypothesis testing for the mean value and the variance of a population. Inference for two populations. Intervals of confidence and percentage testing. X2 test. Distribution fitting. Analysis of contingency tables. Simple linear regression. Multiple linear regression. Analysis of variance in choice of model.

Recommended Reading

1. Melsa J.L., & A.P. Sage, (1973), An introduction to probability and stochastic processes, New Jersey: Prentice-Hall.

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Course Description Electrical Measurements




ECTS Credits 4

Learning Outcomes

The course provides basic knowledge of Electrical Measurements. On successful completion of the course, students will be able to: work with electronic measurement instruments for electric measurement, systematic and random errors, recognizes basic operational characteristics, select suitable connection between instruments and circuits, select the more suitable measurement and connection methods for electric signals and error minimization.

Syllabus

Basic principals of electrical measurement. Theory of measurement errors (deterministic and random errors, weight coefficient and measurement conditions). Analog signal processing (compensation, restriction, filter operations, linearization, level shift, correlation, common mode rejection, isolation, sampling, withholding, compaction, etc), disturbance attenuation of (temperature, humidity, noise, thermoelectric phenomenon, electromagnetic, inductive, capacitive ground effects, etc). Methodology of classic electric measurements, oscilloscopes, nullifying instruments (bridges and compensation apparatus). Measurements of energy and force single- phase and multi- phase systems. D/A and A/D conversions, digital signal processing (κp, PC, DSP), data acquisition. Transducers, Digital measurement circuits, Reliability, Applications.

Recommended Reading

1. D. Ninou, S. Paktiti, Electrical Measurements, (In Greek) ION (ΗΩΝ).

2. S. Antonopoulou, Electrical Measurements, (In Greek) ION (ΗΩΝ).

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Course Description Introduction to Automatic Control




ECTS Credits 9

Learning Outcomes

The course provides basic knowledge of Automatic Control Systems. On successful completion of the course, students will be able to: understand the basic structure and the operation of Automatic control systems. Furthermore, students will be able to carry out simple mathematic calculations in the time and frequency domain, to calculate the response of a system and to check the stability and the accuracy of simple automatic control systems. Also they will be able to study and analyze dynamical physical systems using the simple transfer function models.

Syllabus

Introduction to Automatic Control Systems. Mathematical description of automatic control systems using differential-integral equations, open and closed loop transfer function, impulse response and state space description. Equivalent dynamical descriptions. Fundamental matrix. Steady state errors. Sinusoidal response. Bode and Nichols diagrams. Root locus. State space analysis. Stability. Ruth, Hurwitz and fraction expansion algebraic stability criteria. Nyquist and Lyapunov stability criteria. Controllability, observability. Canonical forms. Closed loop systems. Stabilizabiliy. Pole assignment. Practical applications.

Recommended Reading

1. Paraskevopoulos, P N , (2001), MODERN CONTROL ENGINEERING, Marcel Dekker Inc., U.S.

2. J. D’Azzo, C. Houpis, (1988), Linear Control System, Analysis & Design. Conventional and Modern. McGraw-Hill.

3. Kuo Benjamin, (1987), Automatic Control Systems Prentice Hall.

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Course Description Computer Networks


Category General Core Course (SCC) Obligatory course (O)


ECTS Credits 4

Learning Outcomes The course provides an introduction to the basic notions of electronic computer networks and to analysis and design methods for such networks.

Syllabus

Introduction to the operation of Computer Communication Networks. Design principles for Computer Communication Networks, Switching and Multiplexing, Overview of the OSI reference model, Physical Layer (error control and digitalisation of information), Data Link Layer (alternating bit, go back N, and selective repeat protocols and study of their performance), Medium Access Layer (ALOHA protocol, tree-based and stack-based packet collision resolution protocols), Local Computer Networks (Ethernet, Token ring, FDDI, and Wireless LANs), Third Generation Wireless Digital Communication Networks (Protocols for transmission of Voice, Data and Compressed Video and analysis of their performance), Network Layer (Routing , Congestion Control), Internet (Architecture, Names and Addresses, IP rotocol ,TCP and UDP protocols), Introduction to Modelling and Simulation of Computer Networks.

Recommended Reading

1. James F. Kurose, Keith W. Ross, James Kurose, Keith Ross, (2002), Computer Networking: A Top-Down Approach Featuring the Internet, Addison-Wesley Publishing; 2nd edition.

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Course Description Computer Architecture




ECTS Credits 5

Learning Outcomes

This course deals with modern computer architecture with particular emphasis on microprocessor organization aiming at the comprehension of the structure, but also the solution of design problems, of a typical modern single-processor computer. The course has the ambition to make the students capable of program a microcomputer and interlinking it with peripheral devices, thus making it useful for a wide range of applications, which they will encounter at the course of their profession.

Syllabus

Numbering systems. Algorithms for arithmetic operations. Central processing unit organization, many-register organisation, stack organisation, ways of memory reference, command form, microprogramming. Memory organization, memory categories, memory hierarchy, random access memories, associative memory, fast memory, virtual memory. Input-output organization, synchronous-asynchronous communication, interrupts, interfacing units, channels, I/O processors, communication processors, buses. Codes. Digital circuits useful in microcomputers. Microcomputers. Internal architecture of microprocessors. Description of 8085 microprocessor. Commands. Memory systems. Ways memory reference. Microcomputer programming. Assembly. Assembler - Macros - Routines. Techniques for data input/output. Interrupts. Direct memory access. Description of 8086/88 microprocessors. Command set. Special LSI circuits for parallel and serial input/output of data. Description of two microcomputer systems. 32-bit microcomputers. Very long instruction word (VLIW) processors. Processor performance problems and performance improvement (latency tolerance): Branch prediction and speculation models. Multithreading. Organisation of memory and peripheral devices and access to them for high-performance processors. Programming issues for modern processors (trace scheduling and software pipelining). Introduction to multi-processor parallel architectures.

Recommended Reading

1. G.D. Papadopoulos, (1985), Design of electronic systems with microprocessors, Patra.

2. K.Z. Pekmetzi, (1995), Microcomputer systems, Simetria (σκκεηρία), Athens.

3. G.D. Kogias, (1991), Introduction to microprocessors, Athens. 4. Thom Luce, Ohio University, (1991), Computer Architecture

Software-Hardware, Tziola (Σδηόια), Thesaloniki. 5. G.M. Gilmore, (1999), Microprocessors – Theory & Applications,

McGraw-Hill. 6. D. Pogaridis, (1999), Microcomputers-Microcontrollers, ION (Ίωλ). 7. I. Agelopoulos, G. Sirkos, (1992), Γλωρίζηε ηοσς ΜΔ κε ηελ

οηθογέλεηα ηοσ Z80, Αζήλα. 8. W. Stallings, Computer Architecture 9. Tanenbaum, Computer Architecture - Μία δομημένη Προσέγγιση

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Course Description Analog Electronic Systems




ECTS Credits 4

Learning Outcomes The comprehension of operation and the familiarization with the principles of designing electronic systems.

Syllabus

Operational amplifiers Inverting and not inverting connections, adders, differential amplifiers, intergrators, differentiators, comparators, pulse-width modulators, practical limitations. Power amplifier circuits. Frequency response of amplifiers. Transistor circuits in switching operation. Oscillator circuits. Circuits with electronic stabilisation. Power supply circuits with voltage feedback. Noise. Switching power supplies. AM, FM, PCM modulation and demodulation circuits. Basic principles transmission lines and antennas.

Recommended Reading

1. Paul Horowitz, Winfield Hill, The Art of Electronics, Cambridge University Press.

2. Floyd, (1999), Electronic Devices, Prentice Hall. 3. Paul Scherz, (2000), Practical Electronics for Inventors, McGraw-

Hill. 4. Hatch, John J., (1999), Electronics for Technicians. 5. J. Millman θαη A. Grabel, (1987), Microelectronics, McGraw Hill.

26

Fourth Semester

Course Description Automatic Control Systems Design

Typical Semester 4th

Category Special Course (SC) Obligatory course (O)


ECTS Credits 8

Learning Outcomes


Understand and use the most basic design techniques of static controllers

for linear time-invariant systems.

Syllabus

Review of the state space description. Multivariable linear systems. Design

of automatic control systems for single-input single-output systems: pole

placement, command following, exact model matching, state observers,

linear regulator, linear servomechanism. Design of automatic control

systems for multi-input multi-output systems: input-output decoupling,

disturbance rejection, exact model matching, state observers.

Recommended Reading

1. Paraskevopoulos, P N , (2001), MODERN CONTROL ENGINEERING, Marcel Dekker Inc., U.S.

2. J. D’Azzo, C. Houpis, (1988), Linear Control System, Analysis & Design. Conventional and Modern. McGraw-Hill.

3. Kuo Benjamin, (1987), Automatic Control Systems Prentice Hall.

27

Course Description Digital Control




ECTS Credits 4

Learning Outcomes

On successful completion of the course, students will be able to: Analyze

discrete time systems as well as design control systems for discrete time

systems using well established control design techniques.

Syllabus

Introduction to discrete time systems. Z -Transform, inverse Z Transform.

Sampling and exact discretization of continuous time systems. Descriptions

and analysis of discrete time systems in the state space, in the time domain

and in the frequency domain. Stability of discrete time systems in the state

space, stability criteria. State controllability and observability. Closed-loop

systems. State-space controller design for discrete time systems (discrete

time controller design for stabilizability and arbitrary pole assignment,

deadbeat control as well as observer design). Optimal linear regulator for

discrete time systems. Digital controller realizations.

Recommended Reading

1. P. N. Paraskevopoulos (1996), Digital Control Systems, Prentice Hall Inc., Hemel Hempstead, Herts, England, U.K., 1996

2. G. Sirkos, (2001), Digital contol systems, (in Greek) ΤΓΥΡΟΝΖ ΔΚΓΟΣΗΚΖ.

28

Course Description Automations using PLC and Microcontrollers




ECTS Credits 9

Learning Outcomes


Understand, design and implement automation systems using PLC and/or

microcontrollers.

Syllabus

Programmable Logic Controllers (PLC), Automations for industrial plants.

Process Automation. Classical design of process automation. Introduction

in PLC, operational principles. Presentation of a methodological design for

process automation systems based on PLC. Integrated examples. Using

microcontrollers in industry. Automation systems using computers.

Integrated applications. Advanced programming techniques for PLC.

Control of analog systems using PLC. P control with PLC. Communication

between PLCs. Ladder diagrams. Introduction into logical automata.

Architecture, structure and programming of microcontrollers. Programming

model. Commands. Addressing modes. Internal and external memory.

Presentation of microcontroller families and their peripherals. High

performance microcontrollers. Large number of automation applications

using microcontrollers, emphasizing on controller implementation.

Recommended Reading

1. Michael Predko, Myke Predko, (2000), Programming & Customizing PICmicro Microcontrollers, McGraw-Hill/TAB Electronics; 2nd Book and CD-ROM edition.

2. Petruzella, F., (1998), Programmable Logic Controllers,)

Second Edition, McGraw-Hill Publishing Co.

29

Course Description Science And Human


Category Human Factors and Legislation

Course (HFLC) Obligatory course (O)


ECTS Credits 3

Learning Outcomes The familiarization of the student with the basic principles of scientific society

Syllabus

Examples of scientific method. Characteristics of scientific method. Restrictions of scientific method. Scientific metaphysics. Science and religion. Beginnings of scientific technique. The technique in inanimate nature. The technique in biology. The technique in the physiology. The technique in the psychology. The technique in the society. Artificially created societies. The individual and the total. The scientific government. Education in a scientific society. Scientific reproduction. Science and values.

Recommended Reading

1. B. Russel, (1975), Science and society, Translation Kornilios Manolis, Zaharopoulos Si.

2. P. Paraskevopoulos, (2002), Filokosmia, Athens.

Course Description Digital Signal Processing


Category Special Core Course (SCC) Sector Obligatory course (SO)


ECTS Credits 4

Learning Outcomes The familiarization of student with the basic significances of digital treatment of signals.

Syllabus

Theory of linear prediction and optimal filters with various realisation algorithms. Different filter structures and their advantages are also examined. Among algorithms, the parallel and time recursive organisations are extensively studied. The second part concerns non-parametric processing and introduces the basic concepts about fast Fourier transform and its applications in calculating correlation, convolution, etc. The third part refers to synchronous architectures for digital signal processing and gives some basic principles of fast processing and examples of synchronous signal processors. The fourth part is dedicated to synchronous spectral analysis.

Recommended Reading

1. A. V. Oppenheim and R. W. Schafer, Discrete-Time Signal Processing.

2. J. G. Proakis and D. G. Manolakis , Digital Signal Processing: Principles, Algorithms, and Applications.

3. Marvin E. Frerking, Digital Signal Processing in Communication Systems.

30

Course Description Quality Control




ECTS Credits 4

Learning Outcomes Systematic presentation of main methods and techniques of statistical quality control.

Syllabus

Modern methods of quality control and quality assurance. Emphasis on statistical quality control techniques. Acceptance quality control. Control of a production process and quality improvement in the design phase by using experiments. Exercises and applications from industrial practice. Total quality management. Basic principles of planning, organisation and development of quality systems for industrial units. Measurements during the production process of industrial products (pressure, temperature, pollution, combustion, etc). Measurements and maintenance in industrial installations (resistance, insulation, capacity, loss factor).

Recommended Reading

1. Douglas C. Montgomery, (2000), Introduction to Statistical Quality Control, John Wiley & Sons.

2. G. N. Tagaras (2001), Static Quality Control (in Greek), ΕΖΣΖ, Thessalonica.

Course Description Design and Construction of Electronic Circuits Using

Computers




ECTS Credits 2

Learning Outcomes The main objective of course is the comprehension and effective use of basic concepts and methods for design and analysis of electric and electronic circuits with the help of a computer and suitable software.

Syllabus

Methods for designing, simulating and producing electric and electronic

circuits. Basic electric circuit elements (resistances, inductors, capacitors,

transistor, thyristor, DC and AC sources, etc). Design, analysis and

simplification of electric and electronic (analog and digital) circuits in the

time domain and the frequency domain using computer programs

(Orcad/Spice/Electronics Workbench etc). Design of circuit boards (PCB)

Recommended Reading

1. Manual Orcad. 2. Manual P-Spice. 3. Manual Multisim. 4. Manual Workbench.

31

Course Description Modeling and Control of Mechanical Systems




ECTS Credits 2

Learning Outcomes

The course aims to introduce students to modeling issues of several key categories of mechanical systems as well as to basic control techniques applied to them. The expected learning outcomes of the course include the student's ability to understand a) the basic principles of modeling of mechanical systems and b) the correlation between the physical structure, the behavior and the mathematical description of mechanical systems. Additionally, the expected learning outcomes of the course include the student’s ability to identify mathematical models of mechanical systems and to design and implement controllers for mechanical systems.

Syllabus

Mechanical structures with masses, oscillators, bearings, motion dampers. Robotic structures. Deployment of mechanical structures in 2D and 3D plane. Dense and sparse bond graphs. Mechanical structures in process units, description, models and control. Machining tools: cutting, turning, drilling, reaming, tapping, milling, planning, sanding. Multivariable and robust control of the above processes. Computer numerical control of mechanical systems (CNC). Implementation of mechanical systems models in mathematical computational packages. Simulations. Study of the response of mechanical systems. Controller development for mechanical systems. Application of controllers to mechanical systems. Study of the closed loop response.

Recommended Reading

1. L. Meirovitch, "Dynamics and Control of Structures", John Wiley, 1990.

2. C. Karnopp, D.L. Margolis, R.C. Rosenberg, "System Dynamics: A Unified Approach", Second Edition, John Wiley, 1990.

3. K. Ogata, "System Dynamics", Second Edition, Prentice-Hall, 1992. 4. R.C. Dorf, R.H. Bishop, "Modern Control Systems” (Tenth Edition).

Upper Saddle River, NJ, Pearson Prentice Hall, 2005

32

Fifth Semester

Course Description Industrial Control




ECTS Credits 10

Learning Outcomes

The familiarization to the design of basic industrial controller emphasizing on PID and adaptive controllers. On successful completion of the course, students will be able to design controllers for large numbers of industrial processes operating around nominal conditions.

Syllabus

Basic principals of industrial control. Introduction to dynamic controllers. Finite precision dynamic controllers,. Pole assignment, model matching and command following using finite precision dynamic controllers. Analysis and design of PID controllers. 1

st and 2

nd Ziegler-Nichols method. Digitization

of PID controllers. Design of discrete PID controllers. Process identification. Least square method. Least square method recursive algorithms. Adaptive control. Basic theory of adaptive control, indirect - direct auto tuning adaptive controllers. Industrial control applications: fluid mixture processes, liquid heating processes, cascade reactors, mechanical system with gears, metal cutting processes, etc.

Recommended Reading

1. F.N. Kouboulis, (1999), Industrial Control, Modern Technologies. 2. R.E. King, (1996), Industrial Control, Design of Industrial PID

Controllers, Papasotiriou.

33

Course Description Control of Electrical Motors




ECTS Credits 5

Learning Outcomes


understand the basic principles of operation of and acquire deep

knowledge of the various controller design techniques for electrical motors.

Syllabus

Principles of operation of electrical motor systems. Mathematical models

and simulation of DC (Direct Current) and AC (Alternative Current) motors.

Control of AC and DC motor systems. Stability of electrical motor systems.

Controller design techniques for electrical motor systems. Open and closed

loop control systems for AC and DC motor systems. Control of

asynchronous motors. System control with power recovery. Digital control

systems for electrical motor systems. Digital controllers. Control algorithms.

Control using microcomputers and microcontrollers. Programmable Logic

Controllers (PLC): programming, applications. Industrial applications of

controlled electrical drives: systems for position, velocity, acceleration and

power control.

Recommended Reading

1. S.A. NASAR, (1987), Handbook Of Electric Machines, McGraw - Hill Book Company.

2. P.C. SEN, (1989), Principles Of Electric Machines And Power Electronics, John Wiley & Sons.

3. John Hindmarsh, (1985), Electrical Machines And Their Applications, Pergamon Press.

4. Takashi Kenjo, (1992), Stepping Motors And Their Microprocessor Controls, Oxford Science Publications.

5. C.G. Veinott, (1970), Fractional & Subfractional Horsepower Electric Motors, McGraw - Hill Book Company.

6. Chee - Mun Ong, (1998), Dynamic Simulation Of Electric Machinery, Prentice Hall Ptr.

34

Course Description Optimal Control




ECTS Credits 5

Learning Outcomes On successful completion of the course, students will be able to: Design optimal controllers for continuous and discrete time systems

Syllabus

Basic optimization principals (minimum-maximum). Constrained and unconstrained optimization using calculus of variation, maximum Principle and the principle of optimality. Dynamic programming. Optimal control of continuous and discrete time systems. Optimal control of nonlinear systems. Optimal linear regulator and optimal servomechanism. Practical application and computer methods for the implementation of optimal controllers

Recommended Reading

1. Donald E. Kirk, (1970), Optimal Control Theory: An Introduction, Prentice-Hall, Inc.

2. P. N. Paraskevopoulos (1989), Optimal and Stochastic Control, (in Greek) NTUA, Athens.

35

Course Description Technical Legislation for Automation



Course (HFLC) Sector Obligatory course (SO)


ECTS Credits 2

Learning Outcomes Aim of this course is to offer the necessary knowledge of law, legal issues and technical legislation for the special technological region of Automation

Syllabus

Technical legislation on industrial automation, biological treatment cleanings, buildings automation. Subjects of safety of workers in industry. Legal provisions for persons with special needs. Working Accidents/Responsibility of engineers. Subjects of environmental protection. Legal frame of public and private technical works. National and Community right. Enterprising Law. Study of special cases

Recommended Reading

1. Oakley.J, (2001), Virtue Ethics and Professional Roles. Cambridge University Press.

2. Bouchoux.D.E., (2001), Protecting Your Company's Intellectual Property: A Practical Guide to Trademarks. Copyrights. Patents&Trade Secrets. AMACOM.

3. Rugiero.V.R., (2000), Thinking Critically about Ethical Issues. May-field Pub. Co.

Course Description Business Administration



Course (HFLC) Sector Obligatory course (SO)


ECTS Credits 3

Learning Outcomes

Coordinate a team making them all agree on the aims and the schedule. Find the best supporter for each of your projects. Work out a realistic schedule and budget. Create a specific project plan step by step. Make precise estimates and manage better the expectations of customers and executive directors.

36

Syllabus

Introduction to Business Administration, Project Management, and Quality Assurance. Systems and Applications. Design and planning of project implementation. Techniques and Methodology. Organisation and Basic Principles. Personnel and Quality. Leadership – Principles and Particularities. Co-ordination of Actions. Reports. Budget of Projects. Control - control methodologies and techniques for quality assurance. Time Management. Methodologies for Risk Management. Planning with PERT method and with CPM method . Definitions of quality. Models of quality and quality characteristics of software. FCM Model. Users in a quality assurance system. Quality Plan and Quality Manual. Cost of quality, Quality and development in an enterprise. The concept of “product” in the production of software. Phases of software and quality activities that are included in each phase. Quality procedures, which are generally included in project management, activities and users that they concern. Issues of quality of services. Customers, relations with them and internal customers. The ISO 9000 series of standards and their extensions.

Recommended Reading

1. Ζ. Kerzner, (1995), Project Management: A Systems Approach to Planning Scheduling and Controlling, VanNostrand, Reinhold, Int. Thomson Pub. Co,. 5

th Edition.

2. G. Samid, (1990), Computer Organized Cost Engineering, Marcel Decker.

3. Guidelines for Quality Standars (ISO 9000 Series)

Course Description Data Structures and Databases




ECTS Credits 4

Learning Outcomes The use of database systems and the comprehension of database architecture and database administrator.

Syllabus

Database Management Systems and their architecture. Data structures for databases. Modelling – E-R model. Reference to classic database models (hierarchical, network). The relational model. Database languages – SQL language. File systems and physical design of databases. Logical design and normalization. Management and operation issues (integrity, optimisation, rearrangement, security, operability, etc.) Current issues (object-oriented systems, multi-systems, systems for personal computers, etc.)

Recommended Reading

1. K. Efmorfopoulos, (2002), Data structure and data base systems, (in Greek) ION (ΗΩΝ).

2. R. Elmasri & S. Navathe, Basic principles of data base systems (in Greek), Diavlos ( ΓΗΑΤΛΟ) (Volume Α and Β).

3. I. Kollias, Data bases, (in Greek), Simetria (Δθδόζεης ΤΜΜΔΣΡΗΑ).

4. A. Tasopoulos, K. Marinakis, Structures, files and data bases, (in Greek) ELIX (ΔΛΗΞ).

37

Course Description Data Collection Systems




ECTS Credits 4

Learning Outcomes The aim of the course is the description of systems for the collection, processing, and interpretation of data.

Syllabus

Signals and measurements, analog and digital transducers/sensors, signal converters, data collection, measurement and control systems, standards, specifications, reliability and security of systems, sensors, detectors, types of converters (translation, force, velocity, acceleration, power, magnetic field strength, frequency, liquid level, flow, fluid pressure, etc.), sensors (temperature, wind direction and speed, humidity, barometric pressure, etc), detectors (proximity, microwave, light, smoke, fire, etc), Microsensors, sensor arrays, sensor networking, actuators. Interface with computer, parallel and serial interfaces, DMA, IEEE488 (GPIB) standard, I

2C

standard, CAN standard, modem interface, automated measurements, analog and digital multiplexers. Applications

Recommended Reading

1. Sedra/Smith, (1994), Micro electronic circuits (volume Α, Β), (translation G. Papananos), Papasotiriou. (Παπαζωηερίοσ).

2. D.I. Tseles, Data collection and transfer, (in Greek) Modern Publishing.

3. R.E. King, (2001), Measurement systems, (in Greek) Tziola (Σδηόια).

38

Course Description Physical & Chemical Processes




ECTS Credits 4

Learning Outcomes

On successful completion of the course, students will be able to: Develop a basic mathematical model of the most common physical-chemical processes and systems, thus understand, handle and present their properties and behavior.

Syllabus

Thermodynamic principles, Chemical Reaction Kinetics, Bi-phasial

systems, Mass & Energy Balances, Modeling and characteristics of Heat

Exchangers, Boilers, Distillation Columns and Dryers. Modeling of Complex

Physical-Chemical Processes. Basic principles of industrial chemical and

biochemical processes and reactions. Ideal chemical reactors. Analysis and

application case study of batch, continuous steered tank and plug flow

reactors.

Recommended Reading

1. J.E. Hesselgreaves, (2001), Compact Heat Exchangers, Pergamon.

2. E.K. Kalinin, G.A. Dreister and I.Z. Kopp, (2001), Efficient surfaces for Heat Exchangers, Begell House.

3. W.M. Kays and A.M. London, (1998), Compact Heat Exchangers, Krieger Publ. Co.

4. H. Liu and S. Kakac, (2002), Heat Exchangers, CRC Press, 2nd

ed. 5. E.M. Smith, (1997), Thermal Design of Heat Exchangers, John

Wiley.

39

Course Description Telecommunication Systems




ECTS Credits 4

Learning Outcomes The familiarization of student with the analysis and design of telecommunication systems at an introductory level.

Syllabus

Introduction to telecommunications. Signal spectrum, telecommunication spectra. Telecommunication transmission. AM/FM modulation and demodulation of signals, modulation of digital signal (ASK, FSK, PSK), Pulse-Code Modulation (PCM, δModulation PCM, Adaptive δMPCM, Differential δMPCM), switching and multiplexing. Multiplexing systems. Transmission of Data. International Standards and Codes. Error control, data synchronization, serial connections and interfaces, modem synchronization, communication protocols (OSI, AP, SP, PDN, CCITT, X25, X75). Microwave radio telecommunication systems. Satellite Communications. Communications with Optical Fibres.

Recommended Reading

1. Roger Freeman, Telecommunication Fundamentals. 2. Bruce Carlson, P.B. Grilly, Janet Rutledge, (2001), Communication

Systems, McGraw-Hill Editions. 3. Wayne Tomasi, (1992), Advanced Electric Communication

Systems, Prentice-Hall.

40

Sixth Semester

Course Description Introduction in Robotics




ECTS Credits 6

Learning Outcomes

On successful completion of the course, students will be able to: Understand and use basic concepts of robotics, emphasizing on solving basic position and velocity kinematics problems of robotic manipulators. Moreover, the student obtains introductory knowledge on control design for robotic manipulators.

Syllabus

Structural characteristics of robots. Geometrical characteristics of robots.

Kinematics of solid objects. Direct kinematics. Kinematic chain. Denavit-

Hartenberg method. Orientation of the end-effector. Inverse kinematics.

Velocity kinematics analysis for robotic manipulators. Determination of

Jacobian matrix. Direct velocity and acceleration kinematics. Inverse

velocity and acceleration kinematics.Robot position and velocity control

through actuator position and velocity control: Permanent magnet dc

motors, PD controller, Exact position control, P controller, Asymptotic

position control. Path planning (based on position, or position-velocity or

position-velocity-acceleration specifications on specific points of the path).

Robot task scheduling.

Recommended Reading

1. F.N. Kouboulis & B.G. Mertzios, (2002), Introduction to robotics, (in Greek) Papasotiriou.

2. S.G. Tzafestas, (1994), Robotics (Analysis and control), volume 1, (in Greek) NTUA, Athens.

3. D.M. Emiris, (1999), Robotics, (in Greek) Anosi.

41

Course Description Process Control




ECTS Credits 6

Learning Outcomes On successful completion of the course, students will be able to: be familiarized with advanced industrial process controller design techniques and to design and realize controllers for complex processes.

Syllabus

Approximate methods for discretizing basic continuous time process

descriptions. Uncertain processes. Robust process control. Multivariable

processes. Input/output decoupling via dynamical digital controllers.

Sensors and actuators. Controller realizations via industrial computers and

microcontrollers. Hierarchical controllers. Safe switching controllers.

Introduction to supervisory control and to SCADA systems.

Recommended Reading

1. F.N. Kouboulis, (1999), Industrial Control, (in Greek) New Technology Publishing (Δθδόζεης Νέωλ Σετλοιογηώλ).

2. Ρ. King, (1994), ΗInformation control, Supervisory Control and Data Acquisition of Industrial Processes SCADA, (in Greek), Papasotiriou.

Course Description English Terminology of Automation


Category Special Course (SC) Sector Obligatory course (SO)


ECTS Credits 4

Learning Outcomes The aim of the course is that the student will be able to consult technical English books and journals in the area of automation and to write technical reports and articles in English about subjects related to automation.

Syllabus

Step by step improvement of vocabulary on technical terminology through authentic technical texts (books and articles) about automation. Particular emphasis will be given on English texts related to control of linear systems, industrial control, robotics, computers,

Recommended Reading

1. Peppa, If., (2007), English For Engineers, Lefki Papacharalambous (Eds), Ellin Publications

2. English for Computer Science. By Charles Brown. 3. The advanced Learner’s dictionary of current. English - Oxford.

42

Course Description Entrepreneurship in Automation





ECTS Credits 4

Learning Outcomes

This course aims at introducing students in the subject of entrepreneurship. The subjects covered address entrepreneurship generally, emphasizing particularly in the area of Automation. The capacity of the student to comprehend the business value of automations, the perspectives of undertaking business actions in the area of automation as well as the capacity to understand and develop business plans on the area of automations, are some of the expected learning outcomes of the course.

Syllabus

Defining an enterprise,

Establishing and organising a new enterprise,

the obligations of an enterprise,

the business value of: introduction, service and upgrade of automations in production units,

searching for business opportunities,

Business plan in the areas of automatic control, robotics, programmable logic controllers (PLC’s),

dealing with the subjects of: product and service development, introduction to marketing, market research, budgeting, financing, development of plans for new products and services, plan evaluation, brand names’ and trademarks’ management, advertisement.

Youth’s entrepreneurship in the area of automation,

Searching for business opportunities.

Local and international trends in the area of automation.

Case Studies.

Recommended Reading

1. Bandwagon Effects in High-Technology Industries, Jeffrey H. Rohlfs, MIT Press, 2003.

2. Creative Technological Change, Ian McLoughlin, Routledge, 1999 3. Creativity in Product Innovation, Jacob Goldenberg and David

Mazursky, Cambridge, 2002 4. Innovation and Industry Evolution, David B. Audretsch, MIT Press,

1995 5. The High-Tech Entrepreneur's Handbook, Jack Lang, FT Prentice

Hall, 2002 6. Engineering Your Start-Up: A Guide for the High-Tech

Entrepreneur (2nd Edition), James A. Swanson, Michael L. Baird,

Professional Publications, Inc.; Second Edition, 2003 7. Pinto's Points: How to Win in the Automation Business, Jim Pinto,

ISA: The Instrumentation, Systems, and Automation Society; illustrated edition edition, 2005

8. Bottom-Line Automation, 2nd Edition, Peter G. Martin, ISA; 2005 9. Economic Evaluation of Advanced Technologies: Techniques and

Case Studies, Hamid R. Parsaei (Editor), Jerome P. Lavelle (Editor),

Hampton R. Liggett (Editor), Hemisphere Pub, 2002

10. Technological Systems and Economic Performance: The Case of

Factory Automation, Bo Carlsson (Editor), Kluwer Academic Pub,

1995

http://www.amazon.com/James-A.-Swanson/e/B001K7S2NY/ref=ntt_athr_dp_pel_1

http://www.amazon.com/Michael-L.-Baird/e/B000APJ94S/ref=ntt_athr_dp_pel_2

http://www.amazon.com/Jim-Pinto/e/B001K8TH8M/ref=ntt_athr_dp_pel_1

http://www.amazon.com/exec/obidos/search-handle-url/ref=ntt_athr_dp_sr_1?%5Fencoding=UTF8&sort=relevancerank&search-type=ss&index=books&field-author=Peter%20G.%20Martin

http://www.allbookstores.com/author/Hamid_R_Parsaei.html

http://www.allbookstores.com/author/Jerome_P_Lavelle.html

http://www.allbookstores.com/author/Hampton_R_Liggett.html

http://www.allbookstores.com/author/Bo_Carlsson.html

43

Course Description Neural Networks and Fuzzy Logic




ECTS Credits 5

Learning Outcomes On successful completion of the course, students will be able to: be familiarized on neural networks and fuzzy logic.

Syllabus

Introduction to neural networks. Design and implementation of neural networks including model and architectures of neural networks, dynamic behavior, convergence and stability, computational abilities, training algorithms, implementation and applications. Feedforward neural networks, learning algorithm for feedforward networks (multi-layer perceptron and backpropagation algorithm), recurrent networks (Hopfield Networks, BAM), multi-layer feedback networks, Competitive learning networks, (Kohonen maps, ART networks), local learning rules (RBF networks). From the classical set theory to fuzzy sets. Introduction to fuzzy sets. Properties of fuzzy sets, membership functions. Extension principle. A-cuts sets and resolution principle. Fuzzy relations, properties of fuzzy relations. Basic operations of fuzzy relations. Introduction to operators for fuzzy relations. Fuzzy numbers. Operations with fuzzy numbers. Fuzzy variables. Fuzzy IF/THEN rules. Implication relations. Compositional rule of inference. Fuzzy algorithms. Basic structure and operation of Fuzzy controllers. Fuzzifier, fuzzy rule base, inference engine. Defuzzifier, Fuzzy controller design and applications. Fuzzy models. Takagi-Sugeno models. Additive Fuzzy models and Applications.

Recommended Reading

1. Hung T. Nguyen, Nadipuram R. Prasad, Carol L. Walker, Ebert A. Walker, (2002), First Course in Fuzzy and Neural Control, CRC Press.

44

Course Description Software Technology




ECTS Credits 5

Learning Outcomes Aim of course is the development of software systems and the documentation of applications according to standards.

Syllabus

Software systems, life-cycle models, development methods for software systems, requirements, design, coding, correctness tests, project management, cost accounting, quality assurance, management of formations, development environments, standards. Software Project Planning. Analysis of specifications. System design. Program design. Object-oriented development of software systems and the UML modelling language.

Recommended Reading

1. Skordalakis Δ., Introduction to software technology, (in Greek) Simmetria (ΤΜΜΔΣΡΗΑ).

2. Giakoumakis Δ., Software technology, (in Greek) Stamoulis A, (ΣΑΜΟΤΛΖ Α).

45

Course Description CAD - CAM




ECTS Credits 5

Learning Outcomes

This is an introductory course that demonstrates the integration of Computer-Aided-Design (CAD) and Computer-Aided-Manufacturing (CAM). On successful completion of the course, students will be able to: Design parts of Manufacturing Industrial processes using computers

Syllabus

Computer-Aided-Design, the role of CAD-CAM to the product design line, applications - Fundamentals of drawing, 3D modeling, wire-frame models, surface models, solid models, representation of Ferguson, Bezeir, B-Splines, Nurbs surfaces. CAD drawing and production. Introduction to birth-death model, Μ/Μ/1 models, Markov model witch are not birth-death, Erlang distribution, advanced Μ/G1, M/G/G/1, G/G/m models, advanced analysis models of production – transfer lines. Introduction to Flexible Manufacturing Systems (FEM). Petri-nets.

Recommended Reading

1. Dimitris I. Tseles, CAD/CAM & Expert Systems, (in Greek) Modern publishing.

2. Bernatz Theo, Lammlin Gerhard, Rodrian Gerhard, (1999), CAD, European Technological Publishing.

46

Course Description Information Security And Cryptography




ECTS Credits 5

Learning Outcomes Aim of the course is that the students will know the security problems of information systems as well as the protection mechanisms and the technologies.

Syllabus

Introduction to security of information systems. Models and policies for access control (MAC, DAC, RBAC). Risk Analysis. Elements of cryptography (symmetric and asymmetric cryptography systems) and cryptanalysis. Issues of security of networks (Categories of threats, vulnerability points, countermeasures, assurance). Secure Network Architecture ISO/OSI (Services, Mechanisms, Administration). Architecture and security mechanisms of Internet protocol (IPSEC, SSL, Secure Shell). Technologies of Internet security (digital signature, Firewalls, VPN). Authentication technologies (Smart cards, Biometry). Public Key Infrastructure (PKI). Virus form software. Security of operating systems. Security of databases. Security of electronic commerce and electronic payments. Security models for mobile code (Java, ActiveX). Technologies for protection of privacy and anonymity (cookies, anonymous browsing). Technologies of censorship in the World Wide Web. Authentication Systems in Distributed Environments. Legal and social aspects of protection of information.

Recommended Reading

1. G. Pagalos, I. Mavridis, Security of information systems and networks.

2. B. Schneier, (1993), Applied Cryptography, Wiley Publications, USA.

47

Seventh Semester

Course Description Distributed Control Systems




ECTS Credits 10

Learning Outcomes On successful completion of the course, students will be able to: apply distributed control design techniques in industrial systems.

Syllabus

Principles of operation and programming of Computer Integrated Manufacturing (CIM) systems. Distributed Control Systems (DCS) of closed structure and large scale dynamical systems. Supervisory Control and Data Acquisition (SCADA) Systems. Open Architecture Distributed Systems. Operational Systems. Real time embedded and supervisory software. Profit bus, Vme bus etc. Software development for open architecture industrial control systems. Programming languages. Tools of software engineering. Industrial Computer Networks. Examples of developing software for controlling industrial processes. Control of large scale systems. Decentralized Control. Various applications.

Recommended

Reading

1. Ρ. King, (1994), ΗInformation control, Supervisory Control and Data Acquisition of Industrial Processes SCADA, (in Greek), Papasotiriou.

2. D. Tseles, CAD/CAM & Expert Systems, (in Greek) Modern Publishing (ύγτρολε Δθδοηηθή ΔΠΔ).

3. M. G. Singh & A. Titli, (1978), Systems: Decomposition, Optimization and Control, Pergamon Press.

4. M. G. Singh, (1977), Dynamical Hierarchical Control, North-Holland Publishing Company.

5. P. King (2003), Industrial Computing, (in Greek) ΣΕΗΟΛΑ.

48

Course Description Technical and Economical Analysis of Enterprises





ECTS Credits 5

Learning Outcomes The course aims at analyzing the importance of economy as the organization structure of enterprises. The students should evaluate research investment programs and economic studies.

Syllabus

Introduction to economics. Basic concepts of production, consumption, transactions, prices and money. Parameters defining the enterprise economics (Technological progress, Internet, Productivity of work, Total productivity of factors vs. capital penetration). Utility function, demand functions, categories of goods, elasticities. Production functions, productivity analysis of the production factors, cost functions, scale economies and return. Market equilibrium, price formation, types of market organization and competition. Monopoly, oligopoly, free market. Schematic representation of macroeconomic equilibrium. Means and principles of macroeconomic policy. Cash flow and optimization of market behavior through time. Escalation rate, present value and return coefficients. Application on the evaluation of investment programs. Principles of enterprise accounting of financial evaluation indices. Application on selected examples of economic feasibility studies for enterprises, public works and politics

Recommended

Reading

1. Karakousi, K. Loukopoulou, ηοητεία Οηθολοκίας, Third Edition, (in Greek) ELLIN (ΔΛΛΖΝ).

2. Auerbath, Kotlicoff, Macro-Economy, A completed approach, (in Greek), (in Greek) ELLIN (ΔΛΛΖΝ).

3. Wilson, Clark, Macro-Economy, Δπηκέιεηα N. Sarris, (in Greek), ELLIN (ΔΛΛΖΝ).

4. Wilson, Clark, Micro-Economy, Δπηκέιεηα N. Sarris, (in Greek), ELLIN (ΔΛΛΖΝ).

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Course Description Robot control and programming




ECTS Credits 5

Learning Outcomes On successful completion of the course, students will be able to: Understand and use advanced control techniques for robotic manipulators. Moreover, the student obtains background knowledge on programming of robotic manipulators.

Syllabus

Dynamic modeling of robotic manipulators (Newton-Euler method, Lagrange method, identification). Properties of dynamic models. P-D control. Inverse dynamics control. Control design based on Lyapunov functions. Passivity based control. Robust control, Adaptive control. Force control. Hybrid force/position control. Mobile robots. Integrated robotic systems. Sensors. Scheduling and supervision. Programming languages. Robotic vision. Environment sensing. Position determination. Telerobotics. Remote control of robotic systems. human/robot interface and cooperation. Applications: integrated robotic cells, robotic systems for intervention and services.

Recommended

Reading

1. S. G. Tzafestas (1994), Robotics (Analysis and Control), (in Greek), Vol. 1

2. S. G. Tzafestas, Robotics (in Greek), Vol. 2. 3. F. N. Koumboulis, B. G. Merzios, (2002), (in Greek), Introduction to

Robotics, Papasotiriou. 4. Μ. S. Spong and M. Vidyasagar, (1989), Robot Dynamics and

Control, Willey. 5. J. L. Fuller, (1991), Robotics (Introduction, Programming and

Projects), Maxwell MacMillan Int. Editions.

Course Description Guidance and Navigation Control systems




ECTS Credits 5

Learning Outcomes On successful completion of the course, students will be able to: Understand and apply advanced techniques of guidance navigation and control.

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Syllabus

Introduction to guidance, navigation, and control systems. Basic principals vector space analysis, moments, coordinate axes systems and axis transformations, cosine directional matrix, Euler rotational transformations, equations of motion, kinematics, dynamic equations of relative motions, generic and standard navigation equations. Accelerometers, gyroscopes, Ring Laser Gyros, Fiber Optic Gyros. Error equations of navigation. Integrated navigation systems with external sensors and radio-systems (radar, TACAN, Loran, Omega, VOR, Altimeters, Stellar systems, Doppler radar, EM-Log, GPS, etc.). Operational principals of Global Positioning System (GPS). Kalman filter, Integration of INS systems with GPS and other type sensors, performance analysis. Guidance and continuous least time control. Command generator trackers. Control of complete systems using integrated navigation systems. Automotive and aerospace applications.

Recommended

Reading

1. Yaakov Bar-Shalom, X.-Rong Li, Thiagalingam Kirubarajan, Estimation with Applications to Tracking and Navigation

2. Anthony Lawrence, (1998), Modern Inertial Technology: Navigation, Guidance, and Control (Mechanical Engineering Series).

3. Yilin Zhao, (1997), Vehicle Location and Navigation Systems (Artech House ITS Series), Hardcover.

4. G. M. Siouris, (1993), Aerospace Avionics Systems: A Modern Synthesis, Academic, Press.

5. N. Ackroyd and R. Lorimer, (1990), Global Navigation: A GPS User’s Guide, Lloyd’s of London Press, Ltd.

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Course Description Intelligent Control




ECTS Credits 5

Learning Outcomes On successful completion of the course, students will be able to: Design controllers using artificial intelligence

Syllabus

Neural control techniques, identification and control of nonlinear systems using Neural networks. Fuzzy control techniques. Genetic control algorithms. Expert controllers. Knowledge based systems. Controller design using combination of the above techniques. Use of genetic algorithms for optimal training of neural controllers. Neuro – Fuzzy controllers. Practical applications.

Recommended

Reading

1. Ρ. Δ. King, Computational intelligence for control systems, (in Greek) P. Travlos (Π. Σρασιός).

2. Δ.Ζ. Mamdani and B.R. Gaines, (1981), Fuzzy reasoning and its applications, Academic Press.

3. R.C. Berkan, (1997), Fuzzy system design Principals, IEEE Press.

Course Description E- Business




ECTS Credits 5

Learning Outcomes

This course aims at educating students in aspects relevant to e-business, such as e-commerce, e-learning and distant learning The capacity of students to comprehend the main principles and the special functions of e-business as well as the ways and the perspectives of undertaking business actions in the field, are some of the expected outcomes of this course. Additionally, the ability to plan and develop e-learning and e-commerce systems. Finally, students learn how to develop business plans (as well as the economic and technical analysis needed) in order to undertake specific e-business actions.

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Syllabus

Theoretic part of the course Detailed Presentation of the Institutional Framework (National and EU). Institutional particularities (electronic signature and electronic money transfer). Best practices and implementation analysis. E-learning systems. Synchronous and asynchronous distance learning systems. Atoms of knowledge Computational learning models. Automatic Knowledge Management Systems E-commerce (automatic portals) Applications: Βusiness to Consumer (Commerce for consumers) Business to Business (Commerce among business). Business Plan Economic and Technical Analysis in E-business Laboratory part of the course Implementation of electronic signature Implementation of e-learning systems Implementation of synchronous and asynchronous distance learning systems Implementation of computational learning models Response Implementation of Automatic Knowledge Management Systems. Implementation of e-commerce applications Implementation of business plans for enterprises relevant to e-business

Recommended

Reading

1. E-Profit: High Payoff Strategies for Capturing the E-Commerce Edge, Peter S. Cohan, AMACOM, ISBN-10: 0814405444, ISBN-13: 978-0814405444

2. The Second Industrial Revolution: Business Strategy and Internet Technology, John J. Donovan, Prentice Hall PTR; 1997

3. Internet Business Models and Strategies: Text and Cases, Allan Afuah, Christopher L. Tucci , McGraw-Hill Companies; 2000

4. E-business (R)evolution, Daniel Amor, Prentice Hall; 1999

Course Description Control of Hydraulic and Pneumatic Systems




ECTS Credits 5

Learning Outcomes On successful completion of the course, students will be able to design automatic control systems for hydraulic and pneumatic systems.

http://www.amazon.com/Peter-S.-Cohan/e/B000APWFXU/ref=ntt_athr_dp_pel_1

http://www.amazon.com/John-J.-Donovan/e/B001HPU6B0/ref=ntt_athr_dp_pel_1

http://www.amazon.com/Allan-Afuah/e/B001IU4QE2/ref=ntt_athr_dp_pel_1



http://www.amazon.com/exec/obidos/search-handle-url/ref=ntt_athr_dp_sr_2?%5Fencoding=UTF8&sort=relevancerank&search-type=ss&index=books&field-author=Christopher%20L.%20Tucci

http://www.amazon.com/Daniel-Amor/e/B000APLVI0/ref=ntt_athr_dp_pel_1

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Syllabus

Introduction to Hydraulic and Pneumatic Systems (cylinders, signal valves,

control valves, switches, pumps, gas holders, chokes). Basic laws and

quantities of fluids. Analysis and modelling of hydraulic actuators in time

domain and in frequency domain. Transfer functions of hydraulic systems,

hydraulic servomechanisms, electro-hydraulic servomechanisms.

Computational problems of hydraulic systems. Pneumatic automatic control

systems, control of single – double action cylinders, piston-speed regulation

circuits, time circuits, positions table and movement diagrams. Binary

control of pneumatic systems. Automatic control with pneumatic and

hydraulic systems (hydraulic – pneumatic robotic systems, braking and

suspension systems, industrial production lines with hydraulic – pneumatic

subsystems). Controller design for hydraulic and pneumatic actuation

systems (stabilization, pole placement, three-term controllers). Practical

applications of hydraulic and pneumatic actuators in robots, vehicles, ships,

airplanes, rockets, helicopters.

Recommended

Reading

1. P. Paraskevopoulos, (2001), Introduction to automatic control, (in Greek), volume Α, and Β, Athens.

2. Petridis, (2001), Automatic control systems, (in Greek), volume A, Thesaloniki.

3. P. Malatestas, Automatic control systems, (in Greek), Tziola (Σδηόια).

Course Description Mechatronics




ECTS Credits 5

Learning Outcomes The objective of the course is that the student analyzes and designs mechatronic modules.

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Syllabus

Technological background of Mechatronics, Mechanisms for transmission of motion. Electromechanic Systems. Design and modeling. Element modules and modules for sensing, actuation, adaptation and convertion of actual and digital signals, electropneumatic and electrohydraulic systems. Electronic control systems. Introduction to controllers of mechatronic modules. Mechatronic design methodology, specialized applications (choice of technology, dynamic modeling, simulation, interconnection and incorporation of systems, communications, interface). Mechatronic applications with microcomputers – microcontrollers. Use of advanced control methods in mechatronics

Recommended

Reading

1. W. Boldon, Mechatronics, electronic control systems in Mechanical and Electrical Engineering, Longman, Essex, England.

2. Newton C. Braga, (2001), Robotics, Mechatronics, and Artificial Intelligence: Experimental Circuit Blocks for Designers, Newnes; 1st edition.

Eighth Semester

Course Description Practice


Category - Obligatory course (O)


ECTS Credits 10

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Learning Outcomes -

Syllabus -

Recommended Reading -

During the course of their studies, the students of the Department of Automation are required to pass a six-month practical training in the profession of automation technology engineer. The practical training may take place in industries, production sites, and enterprises offering services in the automation sector, Technological Educational Institutions, Technological Institutes, universities, academic institutes, and educational or research institutes in EU. The practical training takes place after the 7

th semester of the student’s studies provided that he/she has successfully completed 85% of

the required courses for his/her degree according to the Department’s Program of Study.

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Course Description Graduation Project


Category - Obligatory course (O)


ECTS Credits 20

Learning Outcomes -

Syllabus -

Recommended Reading -

Students running the 8th semester of their studies must prepare a graduation project. Indicative

subjects: Automatic Control Systems, Industrial Automations, Robotics, Computer control, Distributed Control Systems, Practical Applications of Automation, Mechatronics, computer applications of automation, Supervisory Control and Data Acquisition, Industrial Networks, Design of Electronic Controllers, etc.

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5.2 Language

All courses are taught in Greek except from the English language module. In case of Foreign students some lessons may be taught in English

5.3 Final exams - Evaluation Procedures

Students’ performance in purely theoretical courses or in the theoretical aspect of mixed courses is evaluated through written examinations at the end of the semester. Optionally, there can be mid-term exams.

In the laboratory courses, students are evaluated at the end of the semester when the final

examination (oral or written) takes place as well as at the end of each laboratory session.

The laboratory session grade is based on a student’s performance towards the completion of

the laboratory exercises and on the lab report he/she has to turn in during the following week

containing the processing of the lab results. The final grade is a weighed average of the

laboratory session grades and the final examination grade.

At the end of each semester there are two final exam periods which last two weeks each. All

theoretical courses must be examined during the exam period. The laboratory final

examination must be completed before the exam period starts.

For their practical training students’ assessment is largely based on their employer’s report which is concerned mainly with the conscientiousness and competence of the trainee; this one is a Pass/Fail course.

The progress of a senior project is monitored and evaluated by a supervising academic who assesses the performance of the student while working on it, the final outcome, and the student’s presentation/oral examination before a three-member committee.

The final degree is given by the following equation:

Β = (δ1 β1 + δ2 β2 +… ...+ δλ βλ)/(δ1 + δ2 +……+ δλ)

where β1, β2… βλ are the grades of each course that the student attended and δ1, δ2… δλ

are the ECTS credits of the respective course.

5.4 Academic calendar

Fall semester: September 29, 2008 - January 23, 2009 Exam period 1: February 2, 2009 – February 13, 2009 Exam period 2: February 16, 2009 – February 27, 2009

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Spring semester: March 3, 2009 – June 12, 2009 Exam period 1: June 22, 2009 – July 3, 2009

Exam period 2: September 1, 2009 – September 14, 2009 Official Holidays

October 28th National Holiday November 17th School Holiday January 30th School Holiday March 25th National and Religious Holiday May 1st Official Holiday

During Christmas and Easter holidays no classes are held for one week in each holiday

5.5 ECTS coordinator

Dr Skarpetis Michael, Assistant Professor, tel.: +30-22280-99614, e-mail: [email protected]


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6. Department of Foreign Languages

6.1 General Information

The department of Foreign Languages offers courses in four foreign languages including English, French, German and Greek. The academic staff of the department aim at the fulfillment of current and future language needs of the TEI students and the development of the required skills by the students so that they can meet those needs and acquire a competitive advantage when they enter the arena of their professional life.

A recently initiated course in the department focuses on the Greek language and Greek history addresses the academic and linguistic needs of foreign students studying at TEI. It consists of 4 academic hours per week for the Greek Language, and 2 for the cultural seminars which include excursions in archaeological sites around Halkida.

The learning process of specialised English language in the T.E.I of Chalkida, Greece gives the students an opportunity to broaden their knowledge of English language skills in a variety of forms and genres and in response to numerous socio-cultural, economical and technological developments emerging as an outcome of globalisation and Information Age. English language courses in TEI involve the enactment of an ongoing learning process engendering the following fundamentals:

1. A learner- and learning-centred approach - a move from teaching to learning 2. A communicative and task-based approach with authentic communication tasks

and learning tasks 3. Emphasis on developing language skills and strategies 4. Emphasis on creativity 5. ESP in higher classes - better preparation for work or study tasks 6. More intensive use of the modern language in the classroom developing language

awareness and familiarity with multicultural perspectives in different academic disciplines

7. Variety in working methods 8. Use of information technology, multimedia, E-mail etc. 9. Encouraging learner autonomy, self-assessment, cross-cultural awareness 10. Project work (based on authentic, real-life situations, also lab exercises)

The specialised English language courses for the TEI students have been designed on the guidelines of the “Common European Framework of Reference for Languages” which was constituted in 2001 and amended in the follow up report entitled “EU Action Plan 2004-2006 - Promoting Language Learning and Linguistic Diversity” (See APPENDIX 1). According to this framework the main aims of the EU policy are:

Expansion of benefits through life-long foreign language learning to all citizens Improvement of foreign language teaching methods and Development of a friendlier environment for languages. Building language-friendly communities

For further information contact Ms Lefki Papacharalambous Office Phone Number: +30 2228 99562 E-mail: [email protected] Office Hours: Monday and Wednsday, 10am-2pm.


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6.2 Course Syllabus

Title ELECTRICAL ENGINEERING – ENGLISH I

Semester 2ND

Department Foreign Languages

Category S Obligatory

Type Theoretical

Hours/week 2 Lecture Applied Exercises Laboratory

Workload/Week 6

ECTS points 3

Prerequisites

Objective:

To familiarize the students with the electrical, electronic and computer engineering terminology in the foreigh language of their choice and train their written and oral skills.

Course Description:

Specialised terminology on:

- Measurements, electrical fields and circuits.

- Magnetism, machines and electronics.

Reading and listening comprehension of technical and scientific texts.

Grammar exercises

Suggested Readings:

1.PEPPA, IF., 2008, “THE LANGUAGE OF TECHNICAL ENGLISH”, ION PUBLICATIONS

2. EASTWOOD, J., 2007, “OXFORD LEARNER GRAMMAR INTERMEDIATE, OXFORD.

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Title ELECTRICAL ENGINEERING – ENGLISH II

Semester 3RD

Department Foreign Languages

Category S Obligatory

Type Theoretical

Hours/week 2 Lecture Applied Exercises Laboratory

Workload/Week 6

ECTS points 3

Prerequisites

ENGLISH I

To enroll in this course, students need to have successfully completed 1 semester of studies in the English Language Level I in TEI; alternatively they should own a universally recognised certificate of English language competence (e.g. Lower or Advanced or Proficiency Certificate issued by Cambridge/Michigan University or or an equivalent certificate issued by the Greek Ministry of Education, YPEPTH).

Objective:

To familiarize the students with the electrical, electronic and computer engineering terminology in the foreigh language of their choice and train their written and oral skills.

Course Description:

Specialised terminology on:

- Measurements, electrical fields and circuits.

- Magnetism, machines and electronics.

Reading and listening comprehension of technical and scientific texts.

Grammar exercises

Suggested Readings:

1. KIRIAZI-PAPAKONSTANTINOU, 2005, “ENGLISH FOR ELECTRICAL ENGINEERING AND

ELECTRONICS -ΒΟΟΚ II”, ELLIN PUBLICATIONS

2. GLENDINNING, E. H. & MCEWAN, J., 2005, “BASIC ENGLISH FOR COMPUTING”, OXFORD, UK

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Title ELECTRICAL ENGINEERING –

ENGLISH LANGUAGE TERMINOLOGY

Semester 4th

Department Department of Foreign Languages

Category Optional Compulsory

Type Theoretical

Hours/week 2 Lecture Hours

Workload/Week 10

ECTS points 4

Prerequisites ENGLISH I & II

To enroll in this course, students need to have successfully completed 2 semesters of studies in the English Language Level I and Level II in TEI; alternatively they should own a universally recognised certificate of English language competence (e.g. Lower or Advanced or Proficiency Certificate issued by Cambridge/Michigan University or or an equivalent certificate issued by the Greek Ministry of Education, YPEPTH).

Objective:

This module is aimed for the students who are at the B2-C1 level of language competence on the CEF board and need to enhance their knowledge of the specialised foreign language used in their academic discipline to the extent that they will become able to literary or not, sophisticated and lengthy excerpts from specialized articles and lengthy technical guidelines related to their job specialty. Also on successful completion of this module learners should be able to understand the oral speech with no difficulty either in conditions of direct interaction or via mass communication media even when the fellow conversers talk fast, provided that there is adequate time for them to get familiar with a particular manner of speaking. Finally, they should also be able to identify the differences between different writing formats and produce written work of different formats (e.g. essays, articles, memos, reports, guidelines, etc).

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Course Description:

The module includes reading comprehension and analysis of technical texts relevant to the area of Electrical Engineering at an advanced level of competence, ie: description of electronic components and devices, sources of electric energy, magnetism, cells and batteries, electromechanical devices, electronic communication systems, etc.

The teaching methodology involves complex listening and writing activities, speaking tasks, acquisition of technical terminology as well as a thorough revision of all the foreign language grammatical and syntactical phenomena that have been taught in previous levels.

Teaching Methods

Lecture

Seminar

Project work

Assessment Methods

Assessment takes place on a continuous basis and involves oral and written tests, presentations, assignments and project work. Most frequently used assessment methods are:

End-of-term written exam paper

Ηn-term Assignment

Poster presentation

Suggested Readings:

1. PAPACHARALAMBOUS, L. & PEPPA, IF., 2007, “ENGLISH FOR ENGINEERS”, ELLIN PUBLICATIONS

2. KIRIAZI-PAPAKONSTANTINOU, 2005, “ENGLISH FOR ELECTRICAL ENGINEERING AND

ELECTRONICS- ΒΟΟΚ IV”, ELLIN PUBLICATIONS

These descriptors can apply to any of the languages spoken in Europe, and there are translations in many languages.

technological educational institution - … spoydvn 2011_en.pdf · the students are required to...

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