COURSE UNIT TITLE

: OPERATIONS RESEARCH

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MTE 3151 OPERATIONS RESEARCH ELECTIVE 2 0 0 3

Offered By

Marine Transportation Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR SERIM PAKER

Offered to

Marine Transportation Engineering

Course Objective

This course is for students who are new to the topics of Operations Research. The course emphasizes the application of Operations Research for solving business problems. The students are expected to develop problem modeling and solving skills and to learn how to make intelligent business decisions from the optimization point of view. Game theory, decision analysis, network models, queueing systems, markov chains, non-linear programming, multi-criteria decision making and goal programming topics will be discussed to make the students capable of developing mathematical models concerning these topics and using special solution methods to find the best solutions to these models.

Learning Outcomes of the Course Unit

1   To be able to know the application areas of Operations Research and to identify the problems from real life
2   To be able to solve linear programming models using the simplex algorithm
3   To be able to solve linear programming models using the simplex algorithm
4   To be able to solve integer programming models using the branch-and-bound method
5   To be able to perform sensitivity analysis
6   To be able use optimization packages LINDO, LINGO and Excel Solver

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 and Linear Programming
2 Linear Programming, Model Development
3 Model Development, Graphical Solution
4 Simplex Algorithm
5 Sensitivity Analysis and Duality
6 Transportation, Transshipment and Assignment Problems
7 Mid-Term Exam
8 Integer Programming
9 Game Theory
10 Decision Making Under Uncertainty and Risk - Utility Theory
11 Network Models
12 Queueing Systems
13 Markov Chains
14 Multi-Criteria Decision Making Techniques
15 Final Exam

Recomended or Required Reading

Winston W.L. (2004). Operations Research: Applications and Algorithms, 4th edition, Brooks/Cole, CENGAGE Learning
Hillier F.S., Lieberman G.J. (2005). Introduction to Operations Research, McGraw-Hill Inc.
Taha H.A. (2003). Operations Research: An Introduction, Pearson Education Inc.

Planned Learning Activities and Teaching Methods

Literature review , Presentation and discussion , Case studies

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FINS FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + ASG * 0.10 + FINS * 0.60
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.10 + RST * 0.60


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Knowledge about operation research at undergraduate level, having skills and competencies, research, analysis, interpretation, verbal and written expression skills and competencies will be evaluated.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Dr. Öğr. Üyesi Serim Paker
serim.paker@deu.edu.tr

Office Hours

Ilan edilecektir.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 2 26
Preparation for midterm exam 1 10 10
Preparation for final exam 1 10 10
Preparing assignments 1 10 10
Midterm 1 10 10
Final 1 10 10
TOTAL WORKLOAD (hours) 76

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15PO.16PO.17
LO.1355
LO.255
LO.3355
LO.4355
LO.515
LO.615