COURSE UNIT TITLE

: OPERATIONS RESEARCH

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BIL 3125 OPERATIONS RESEARCH ELECTIVE 2 2 0 5

Offered By

Computer Science

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ZEYNEP NIHAN BERBERLER

Offered to

Computer Science

Course Objective

Throughout this course, students are expected to know and understand common and important optimization problems. Students will develop problem modeling and solving skills and making appropriate decisions from the point of view of optimization.

Learning Outcomes of the Course Unit

1   Be able to understand the characteristics of different types of decision-making environments.
2   Be able to identify the appropriate decision making approaches and tools.
3   Be able to formulate a valid operations research model.
4   Be able to solve the model using computer software, and interpret the results of the model.
5   Be able to make recommendations to improve system operations based on an operations research analysis.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 History of Operations Research, Introduction to optimization problems
2 Transportation Problem, Transportation Models
3 Transportation Algorithm
4 Transportation Algorithm Quiz 1
5 Assignment Problem
6 Hungarian Method
7 Network Models, Minimum Spanning Tree
8 Midterm exam
9 Shortest Path problem
10 Maximum Flow problem
11 Maximum Flow problem
12 CPM Quiz 2
13 PERT
14 Software applications

Recomended or Required Reading

Textbook(s): Winston, W.L., Operations Research: Applications and Algorithms, 4th edition, Cengage Learning, 2003.
Taha, H., Yöneylem Araştırması; 6. Basımdan Çeviri, Literatür Yayıncılık, Istanbul, 2000.
Supplementary Book(s): Hillier, F.S., Lieberman, G.J., Introduction to Operations Research, 9th edition, McGraw Hill, 2009.

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format. Besides the taught lecture, group presentations are to be prepared by the groups assigned and presented in a discussion session. In some weeks of the course, results of the homework given previously are discussed.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE MTE * 0.40 + FIN * 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + FIN * 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

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

zeynep.berberler@deu.edu.tr

Office Hours

Will be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 2 26
Tutorials 13 2 26
Preparations before/after weekly lectures 12 1 12
Preparation for midterm exam 3 7 21
Preparation for final exam 4 10 40
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 129

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.1344
LO.2344
LO.3335
LO.4555
LO.5555