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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EMT 3011 OPERATIONS RESEARCH I COMPULSORY 3 0 0 5

Offered By

Econometrics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR GÖKÇE BAYSAL TÜRKÖLMEZ

Offered to

Management Information Systems Econometrics (Evening) Econometrics

Course Objective

The main objective of the course is to give the student information and skills about defining, modelling, classifying, solving, interpreting of decision making problems in the management process.

Learning Outcomes of the Course Unit

1   To be able to classify decision making problems in the management process 2   To be able to implement optimization modelling of problems on production and service systems. 3   To be able to expose solution alternatives of decision making problems. 4   To be able to apply operations research system methodology in solving inter-disiplinary problems 5   To be able to apply systematic and analytical thouhgt manner in real-world problems 6   To be able to interpret decision making problem solutions within economic analysis approach.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to Operations Research 2 Introduction to Optimization 3 Modelling 4 Introduction to Linear Programming 5 Graphical Method on Linear Programming, Algebraic Method on Linear Programming 6 Simplex Method on Linear Programming 7 Simplex solutions 8 Mid-term 9 Mid-term 10 Special cases in Simplex 11 Duality 12 Computerized solutions 13 Sensitivity analysis in LP 14 Sensitivity analysis in LP

Recomended or Required Reading

1- TAHA, Hamdy A. : Operations Research : An Introduction , Sixth Ed., Macmillan Publishing Co., New York, 1997. 2- RAO, S. S. : Engineering Optimization; Theory and Practice ,Third Edition, Wiley Eastern Limited, New Delhi, 1996.

Planned Learning Activities and Teaching Methods

This course will be presented using class lectures, class discussions, overhead projections, and demonstrations

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 MTEG MIDTERM GRADE MTEG * 1 3 FIN FINAL EXAM 4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Mid-term exam x 40 Quiz x 100 Mid-term exam x 60

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 12 3 36 Preparations before/after weekly lectures 12 2 24 Preparation for midterm exam 1 15 15 Preparation for final exam 1 20 20 Preparing assignments 1 18 18 Final 1 1 1 Midterm 1 1 1 TOTAL WORKLOAD (hours) 115

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 LO.1 5 LO.2 LO.3 5 LO.4 5 LO.5 5 5 LO.6 5