ump(ips) -gen/2019 uis1133 statistical modelling part b ... course/ips... · 8. registration of ips...

PART B AND PART C NEED TO BE COMPLETED. IF STUDENT IS PAYING ON HIS/HER OWN, ONLY PART D IS REQUIRED TO BE COMPLETED.

PART B – GRANT INFORMATION

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PART F – REGISTRATION BY INSTITUTE OF POSTGRADUATE STUDIES

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REGISTRATION FORM IPS POSTGRADUATE COMPETENCY COURSES

PART A - APPLICANT DETAILS (TO BE COMPLETED BY STUDENT) 1. STUDENT NAME : ................................ ................................ ............................

2. STUDENT ID NO : ................................ ................................ ............................

3. PROGRAMME : PHD / MSC / MSC COURSEWORK (*circle whichever is applicable)

4. MAIN SUPERVISOR : ................................ ................................ ........................... 5. FACULTY : ................................ ................................ ............................ STUDY MODE : FULL TIME / PART TIME

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8. REGISTRATION OF IPS POSTGRADUATE COMPETENCY COURSES. Please tick 3 Courses in the table

The timetable for the course o�ering can be obtained from IPS website.

NO. CODE LIST OF COURSES PLEASE TICK

ENGINEERING MATHEMATICS: 1. UIM1113 Advanced Numerical Methods 2 UIM1123 Op�miza�on Techniques 3 UIM1133 Mathema�cal Modelling ENGLISH AND PRESENTATION SKILLS: 4. UIE1113 Preparatory English for Postgraduate 5. UIE1123 Scien�fic English Communica�on 6. UIE1133 Presenta�on Skills 7. UIE1143 Research Project Presenta�on Skills

Pre-requisite: Research Methodology or Thesis Writing 1

STATISTICS AND DATA ANALYSIS: 8. UIS1113 Descrip�ve Sta�s�cs

9. UIS1123 Inferen�al Sta�s�cs 10. UIS1133 Sta�s�cal Modelling

11. UIS1143 Structural Equa�on Modelling

RESEARCH METHODOLOGY: 12. UIR1113 Research Methodology for Engineering, Science and Technology

13. UIR1123 Research Methodology for Social Science and Humani�es 14 UIR1133 Philosophy of Research THESIS WRITING : 15. UIT1113 Thesis Wri�ng 1

16. UIT1123 Thesis Writing 2 Pre-requisite : Thesis Writing 1

UMP(IPS) -GEN/2019



2. STUDENT ID NO : ................................ ................................ ............................





8. REGISTRATION OF IPS POSTGRADUATE COMPETENCY COURSES. Please tick in the table below











UMP(IPS) -GEN/2019 UIS1133 Statistical ModellingIn this course, the linear model is generalized in several directions, and theresulting framework is investigated from a theoretical and practicalperspective, in an intention to develop core skills in statistical data analysis.The course has three parts. Part A: Model Selection including linear modeland Bayesian Inference. Part B: Beyond Generalised Linear Model includingRandom and mixed effects models. Part C: Missing Data and LatentVariables. The R statistical package will be used throughout.

UIS1143 Structural Equation ModellingThis course is primarily focused on the applications of multivariate statistics(second generation technique) which is more advanced than linearregressions (first generation techniques). In this course, learners are exposedto latent variable modelling that are applied in many areas of field such asmanagement, education, engineering, medical, social sciences and others.Learners are able to use the structural equation modelling (SEM) techniquein solving problems that relate to their field of interest as this technique isbeing rigorously used in research and widely accepted in many journals.

UIR1113 Research Methodology for Engineering, Science & TechnologyThis course presents an overview and general steps involved in researchmethodology. The topics describe the elements required in researchmethodology such as literature study, research design, data analysis andscientific writing to prepare students in writing research proposal, thesis andscientific publications.

UIR1123 Research Methodology for Social Science and HumanitiesThe principal aim of this course is to assist learners in the process ofidentifying research topics and problems, and to provide them with a logicalframework in which to consider such problems, the associatedmethodologies and the results. Both quantitative and qualitative approacheswill be emphasized in the course. Overall, this subject is intended to give anunderstanding and knowledge on the methodology of research and itsapplication when conducting research projects. The topics to be covered are:Introduction to Research; Research Problem, Research Questions, Reviewingthe Literature; Research Designs; Sampling; Measurement; Observation;Research Instruments; Different types of Analysis; Completing the ResearchProject.

UIR1133 Philosophy of ResearchThe philosophy of science is the consideration of the most basic conceptsand principles at work in scientific inquest. What principles do all of thesciences have in common? How are the theories of different sciences (likeengineering, physics, biology, and psychology, accounting, economics etc.)related? How are the scientific theories of today related to the scientifictheories of yesterday and tomorrow? Conventionally, answers to these sortsof questions have been formulated on the basis of four essentialassumptions about the nature of scientific inquiry: (1) scientific thinking isfundamentally rational; (2) scientific knowledge is fundamentally objective.

UIT1113 Thesis Writing 1The course is an overview of the writing and organizational skills necessaryfor the completion of a thesis. It is designed to help learners master thewriting of the thesis. It includes main issues involved in the construction andwriting a thesis—defining the topic, formulating the research question andhypothesis, theory and methodology, seeking out sources, building abibliography, structuring the thesis.

UIT1123 Thesis Writing 2The main aim of this course is to provide learners with a sound technicalknowledge and skills necessary to interpret data that leads to conclusivefindings and quality journal papers.



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SignatureDean of Research & Innovation Department : ___________________________________

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Date:


Comments: ______________________________________________________________



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Signature Deputy Dean of Institute of Postgraduate Studies: ___________________________________

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Graduate On Time

Results in Transcrip

t

Competency Course Trust FundTransferable Credit

Teaching by Expert

UIS1133 Statistical ModellingIn this course, the linear model is generalized in several directions, and theresulting framework is investigated from a theoretical and practicalperspective, in an intention to develop core skills in statistical data analysis.The course has three parts. Part A: Model Selection including linear modeland Bayesian Inference. Part B: Beyond Generalised Linear Model includingRandom and mixed effects models. Part C: Missing Data and LatentVariables. The R statistical package will be used throughout.

UIS1143 Structural Equation ModellingThis course is primarily focused on the applications of multivariate statistics(second generation technique) which is more advanced than linearregressions (first generation techniques). In this course, learners are exposedto latent variable modelling that are applied in many areas of field such asmanagement, education, engineering, medical, social sciences and others.Learners are able to use the structural equation modelling (SEM) techniquein solving problems that relate to their field of interest as this technique isbeing rigorously used in research and widely accepted in many journals.

UIR1113 Research Methodology for Engineering, Science & TechnologyThis course presents an overview and general steps involved in researchmethodology. The topics describe the elements required in researchmethodology such as literature study, research design, data analysis andscientific writing to prepare students in writing research proposal, thesis andscientific publications.

UIR1123 Research Methodology for Social Science and HumanitiesThe principal aim of this course is to assist learners in the process ofidentifying research topics and problems, and to provide them with a logicalframework in which to consider such problems, the associatedmethodologies and the results. Both quantitative and qualitative approacheswill be emphasized in the course. Overall, this subject is intended to give anunderstanding and knowledge on the methodology of research and itsapplication when conducting research projects. The topics to be covered are:Introduction to Research; Research Problem, Research Questions, Reviewingthe Literature; Research Designs; Sampling; Measurement; Observation;Research Instruments; Different types of Analysis; Completing the ResearchProject.

UIR1133 Philosophy of ResearchThe philosophy of science is the consideration of the most basic conceptsand principles at work in scientific inquest. What principles do all of thesciences have in common? How are the theories of different sciences (likeengineering, physics, biology, and psychology, accounting, economics etc.)related? How are the scientific theories of today related to the scientifictheories of yesterday and tomorrow? Conventionally, answers to these sortsof questions have been formulated on the basis of four essentialassumptions about the nature of scientific inquiry: (1) scientific thinking isfundamentally rational; (2) scientific knowledge is fundamentally objective.

UIT1113 Thesis Writing 1The course is an overview of the writing and organizational skills necessaryfor the completion of a thesis. It is designed to help learners master thewriting of the thesis. It includes main issues involved in the construction andwriting a thesis—defining the topic, formulating the research question andhypothesis, theory and methodology, seeking out sources, building abibliography, structuring the thesis.

UIT1123 Thesis Writing 2The main aim of this course is to provide learners with a sound technicalknowledge and skills necessary to interpret data that leads to conclusivefindings and quality journal papers.



1.GRANT TITLE : _________________________________________________________

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SignatureDean of Research & Innovation Department : ___________________________________

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Date:


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Signature Deputy Dean of Institute of Postgraduate Studies: ___________________________________

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Students can apply to Research & Innovation Department to seek for funding. However, it is subjected to the approval based on availability of fund and other requirements.

Sources of funding available are as follows:1) PGRS (Postgraduate Research Scheme)2) UMP RDU3) UIC (University Industry Collaboration)4) UMP FLAGSHIP5) FRGS (Skim Geran Penyelidikan Fundamental)

UIM1133 Mathematical ModellingThis course discusses a variety of mathema�cal modelling that arise inengineering and industrial applica�ons. It covers modelling with different kind ofdifferen�al equa�ons, namely ordinary, par�al and delay. Mathema�calmodelling requires a diverse range of skills and tools. The student will learn howto formulate a mathema�cal model from a given problem, inves�gate thestability of the model, solve the model using numerical methods and interpretthe simula�on results. On top of that, students will become aware of theconcepts involved in mathema�cal modelling, hence build a solid founda�on inthe subject. This course will incorporate numerous examples from physics,chemistry, biology, ecology and engineering including fluid flow, heat flow,vibra�ng spring and traffic flow. Also, discussion on real-life problems such ascancer immune system in medical and healthcare applica�ons will be covered.This course would prepare students to venture forth on their own to solveproblems on mathema�cal modelling using differen�al equa�ons.

UIE1113 Preparatory English for PostgraduatesThis course is designed to develop skills in using English language effec�vely. Thelanguage skills that will be focused on are reading, wri�ng and speaking.Knowledge and applica�on of grammar will be integrated in all these skills. Thesecomponents are structured to strengthen learners’ language proficiency atpostgraduate level. This course also emphasizes on improving reading andwri�ng by applying effec�ve strategies which include elements of contextualgrammar, extensive lexical building and syntac�cal enhancement. These are thefundamentals in providing essen�al English language skills that are needed atpostgraduate level.Note: Exit level is at CEFR B1.

UIE1123 Scienti�c English CommunicationThe course aims to further enhance learners to become independent users ofthe English language. The primary focus emphasizes reading and wri�ng skills, inwhich the knowledge of grammar is embedded. The course requires students toread and write various scien�fic discourse of specific topics by incorpora�nganaly�cal and cri�cal reading and wri�ng skillsNote: Exit level is at CEFR B2.

UIE1133 Presentation SkillsThe course aims to develop learners presenta�on skills for various rhetoricrequirements at postgraduate level. Learners will be required to undergo theprocesses of preparing and delivering presenta�ons. Learners will learn how toconstruct a topic, gather suppor�ng materials, organize the content, and deliverthe presenta�ons. This will also emphasize informa�ve, persuasive andargumenta�ve presenta�on skills required in postgraduate context.

UIE1143 Research Project Presentation SkillsThis course will equip learners with prac�cal strategies for them to deliver theirresearch projects effec�vely. The course will highlight topics on presenta�onanxiety, verbal, non-verbal and visual communica�on, and audience interac�onthrough Q&A session. This course will provide ample opportuni�es for studentsto present and improve on their research projects presenta�on skills

UIS1113 Descriptive StatisticsThis course discusses on basic sta�s�cal problem-solving methodology, graphicaland numerical data analysis and confidence interval. So�ware will be used in thiscourse to implement the data analysis such as Microso� Excel (other sta�s�calpackages are SPSS, R Language, S Plus, EViews and Minitab shall be used in thiscourse)

UIS1123 Inferential StatisticsThis course discusses on inferen�al sta�s�cs including hypothesis tes�ng;analysis of variance (ANOVA); regression and correla�on including simple andmul�ple linear regressions; goodness-of-fit test and con�ngency tables. So�warethat will be used in this course to analyse the data include Microso� Excel (othersta�s�cal packages are SPSS, R Language, S Plus, EViews and Minitab shall beused in this course).



2. STUDENT ID NO : ................................ ................................ ............................


















2. STUDENT ID NO : ................................ ................................ ............................
















UMP(IPS) -GEN/2019

INTRODUCTIONIn Beginning September 2019, IPS is offering 16 Postgraduate Competency Courses for all postgraduate students to register. The Competency Courses will help to increase the knowledge and skills required for students to produce a quality thesis, dissertation or a research report. The 16 courses can be clustered into 5 categories, namely (i) Engineering Mathematics, (ii) English and Presentation Skills (iii) Statistic and Data Analysis (iv) Research Methodology and (v) Thesis Writing The courses are open to both coursework and research student. The courses are 3 credit units and will be given a grade. They are offered every semester as an elective course.

FEESFee for each course is RM855.00

FUNDING SOURCES

For enquiries, please contact :

Prof Razlan : 09-549 3191Mrs Kamsiah : 09-549 3206

[email protected]

CourseSynopsis

This course covers the numerical solutions of linear systems, nonlinear systems,ordinary differential equations (ODEs) and stochastic differential equations (SDEs). It also includes the development of cubic spline and B-spline for curve fitting. The emphasis is on learning in a practical context for students to write numeri-cal algorithms using Matlab. The numerical algorithms will be developed through their use in applications from a wide range of practical problems such as traffic flow problems and cancer growth progression.

UIM113 Advanced Numerical Methods

This course covers optimization techniques, in particular, linear programming, nonlinear optimization and non-standard optimization techniques. The theory is applied to solve the industrial problems such as work scheduling, job assignment, blending problem, production planning or optimizing the provision of services. Besides manual calculations, students learn how to use available software such as LINGO and TORA to solve and analyze the respective problems.

UIM1123 Optimization Techniques

The course aims to further enhance learners to become independent users of the English language. The primary focus emphasizes reading and writing skills, in which the knowledge of grammar is embedded. The course requires students to read and write various scientific discourse of specific topics by incorporating analytical and critical reading and writing skills Note: Exit level is at CEFR B2.

UIE1123 Scientific English Communication

This course discusses on inferential statistics including hypothesis testing; analysis of variance (ANOVA); regression and correlation including simple and multiple linear regressions; goodness-of-fit test and contingency tables. Software that will be used in this course to analyse the data include Microsoft Excel (other statistical packages are SPSS, R Language, S Plus, EViews and Minitab shall be used in this course).

UIS1123 Inferential Statistics

This course presents an overview and general steps involved in research methodology. The topics describe the elements required in research methodology such as literature study, research design, data analysis and scientific writing to prepare students in writing research proposal, thesis and scientific publications.

UIR1113 Research Methodol-ogy for Engineering, Science & Technology

The course is an overview of the writing and organizational skills necessary for the comple-tion of a thesis. It is designed to help learners master the writing of the thesis. It includes main issues involved in the construction andwriting a thesis—defining the topic, formulat-ing the research question and hypothesis, theory and methodology, seeking out sources, building a bibliography, structuring the thesis.

UIT1113 Thesis Writing 1

The main aim of this course is to provide learners with a sound technical knowledge and skills necessary to interpret data that leads to conclusive findings and quality journal papers.

UIT1123 Thesis Writing 2

The course aims to develop learners presenta-tion skills for various rhetoric requirements at postgraduate level. Learners will be required to undergo the processes of preparing and delivering presentations. Learners will learn how to construct a topic, gather supporting materials, organize the content, and deliver the presentations. This will also emphasize informative, persuasive and argumentative presentation skills required in postgraduate context.

UIE1133 Presentation Skills

The philosophy of science is the consideration of the most basic concepts and principles at work in scientific inquest. What principles do all of the sciences have in common? How are the theories of different sciences (like engineering, physics, biology, and psychology, accounting, economics etc.) related? How are the scientific theories of today related to the scientific theories of yesterday and tomorrow? Conven-tionally, answers to these sorts of questions have been formulated on the basis of four essential assumptions about the nature of scientific inquiry: (1) scientific thinking isfundamentally rational; (2) scientific knowledge is fundamentally objective.

UIR1133 Philosophy of Research

This course will equip learners with practical strategies for them to deliver their research projects effectively. The course will highlight topics on presentation anxiety, verbal, non-ver-bal and visual communication, and audience interactionthrough Q&A session. This course will provide ample opportunities for students to present and improve on their research projects presentation skills.

UIE1143 Research Project Presentation Skills

This course discusses on basic statistical problem-solving methodology, graphical and numerical data analysis and confidence interval. Software will be used in this course to implement the data analysis such as Microsoft Excel (other statistical packages are SPSS, R Language, S Plus, EViews and Minitab shall be used in this course).

UIS1113 Descriptive Statistics

This course discusses a variety of mathemati-cal modelling that arise in engineering and industrial applications. It covers modelling with different kind of differential equations, namely ordinary, partial and delay. Mathematical modelling requires a diverse range of skills and tools. The student will learn how to formulate a mathematical model from a given problem, investigate the stability of the model, solve the model using numerical methods and interpret the simulation results. On top of that, students will become aware of the concepts involved in mathematical modelling, hence build a solid foundation in the subject. This course will incorporate numerous examples from physics, chemistry, biology, ecology and engineering including fluid flow, heat flow, vibrating spring and traffic flow. Also, discussion on real-life problems such as cancer immune system in medical and healthcare applications will be covered. This course would prepare students to venture forth on their own to solve problems on mathematical modelling using differential equations.

UIM1133 Mathematical Modelling

The principal aim of this course is to assist learners in the process of identifying research topics and problems, and to provide them with a logical framework in which to consider such problems, the associated methodologies and the results. Both quantitative and qualitative approaches will be emphasized in the course. Overall, this subject is intended to give an understanding and knowledge on the method-ology of research and its application when conducting research projects. The topics to be covered are Introduction to Research; Research Problem, Research Questions, Reviewing the Literature; Research Designs; Sampling; Measurement; Observation; Research Instruments; Different types of Analysis; Completing the Research Project.

UIR1123 Research Methodology for Social Science and Humanities

UIS1133 Statistical Modelling In this course, the linear model is generalized in several directions, and the resulting framework is investigated from a theoretical and practical perspective, in an intention to develop core skills in statistical data analysis. The course has three parts. Part A: Model Selection including linear model and Bayesian Inference. Part B: Beyond Generalised Linear Model including Random and mixed effects models. Part C: Missing Data and Latent Variables. The R statistical package will be used throughout.

UIS1133 Statistical Modelling

This course is primarily focused on the applica-tions of multivariate statistics (second genera-tion technique) which is more advanced than linear regressions (first generation techniques). In this course, learners are exposed to latent variable modelling that are applied in many areas of field such as management, education, engineering, medical, social sciences and others. Learners are able to use the structural equation modelling (SEM) technique in solving problems that relate to their field of interest as this technique is being rigorously used in research and widely accepted in many journals.

UIS1143 Structural Equation Modelling

This course is designed to develop skills in using English language effectively. The language skills that will be focused on are reading, writing and speaking. Knowledge and application of grammar will be integrated in all these skills. These components are structured to strengthen learners’ language proficiency at postgraduate level. This course also emphasiz-es on improving reading and writing by applying effective strategies which include elements of contextual grammar, extensive lexical building and syntactical enhancement. These are the fundamentals in providing essential English language skills that are needed at postgraduate level.Note: Exit level is at CEFR B1.

UIE1113 Preparatory English for Postgraduates

ump(ips) -gen/2019 uis1133 statistical modelling part b ... course/ips... · 8. registration of ips...

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