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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EKO 5044 ADVANCED OPERATIONAL RESEARCH II COMPULSORY 3 0 0 6

Offered By

Econometrics

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

Offered to

Econometrics

Course Objective

The main objective of the course is to define methods for linear programming and mathematical modelling as decision-support aid in companies.

Learning Outcomes of the Course Unit

1   To be able to define Transportation models solution techniques 2   To be able to define basic principle of Assignment model 3   To be able to classify Network diagrams 4   To be able to explain concepts of Game Theory 5   To be able to explain concepts of Markov chains 6   To be able to classify multicriteria decision making tools.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Transportation Models 2 Northwest-corner method 3 Minimum row/column methods and Vogel Aproximation method 4 Assignment method 5 Network diagram analysis methods 6 Critical Path Method (CPM) 7 PERT Analysis 8 Mid-term 9 Game Theory 10 Solving Game Theory Problems via Linear Programming 11 Markov Chains 12 Using Markov Chains on Decision Making 13 Multi-criteria Decision Making Algorithms 14 Analytical Hierarchy Process and Miller Method

Recomended or Required Reading

Yöneylem Araştırması, Ahmet Öztürk, Ekin Yayınevi

Planned Learning Activities and Teaching Methods

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 STT TERM WORK (SEMESTER) 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.30 + FIN* 0.40 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.30 + RST* 0.40

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

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 13 3 39 Preparations before/after weekly lectures 13 3 39 Preparation for midterm exam 1 30 30 Preparation for final exam 1 30 30 Midterm 1 3 3 Final 1 3 3 TOTAL WORKLOAD (hours) 144

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 LO.1 1 1 1 LO.2 1 1 1 LO.3 1 1 1 LO.4 1 1 1 LO.5 1 1 1 LO.6 1 1 1