COURSE UNIT TITLE

: ADVANCED OPERATIONS RESEARCH

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ERA 3404 ADVANCED OPERATIONS RESEARCH ELECTIVE 3 0 0 5

Offered By

Econometrics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR IPEK DEVECI KOCAKOÇ

Offered to

Econometrics (Evening)
Econometrics

Course Objective

The main objective of the course is to give the student basic information of project planning, inventory management, queue system design and multi-criteria decision making methods and skills of problem analysing, problem solving, analytical thinking, discussing and evaluating.

Learning Outcomes of the Course Unit

1   To be able to define decision environment
2   To be able to apply analytical thought in the real-world problems
3   To be able to analize multi-criteria decision making problems
4   To be able to select method according to the decision making problem
5   To be able to analize and to evaluate decision problems

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

HAZIRLIK - FOREIGN LANGUAGE PREPARATION CLASS

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Drawing CPM Arrow Diagram
2 Finding and interpreting critical path, early and late times and gap times
3 PERT Analysis
4 Time-Cost relationship on Project Planning, Shortening Project time
5 Basic Economic Order Quantity (EOQ) Model, Constant-Rate Order Quantity Model
6 EOQ with Shortage, EOQ with Price and Quantity Discounts
7 Safety Stock Model
8 Mid-term
9 Mid-term
10 Terminology of Queue Theory, Queue Models (Finite and Infinite Queue)
11 Markov Chains
12 Multi Criteria Decision Making (Analytical Hierarchy Process)
13 Multi Criteria Decision Making (Analytical Hierarchy Process)
14 Multi Criteria Decision Making (TOPSIS)

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

Anlatım Metodu, Soru-Cevap Metodu, Tartışma Metodu ve Problem Çözme Metodu

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

To be announced.

Language of Instruction

English

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 3 36
Preparation for midterm exam 1 20 20
Preparation for final exam 1 25 25
Midterm 1 1 1
Final 1 1 1
TOTAL WORKLOAD (hours) 119

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.11
LO.21
LO.31
LO.41
LO.51