COURSE UNIT TITLE

: OPERATIONS RESEARCH II

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
END 3620 OPERATIONS RESEARCH II COMPULSORY 4 0 0 6

Offered By

Industrial Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR ŞEYDA AYŞE YILDIZ

Offered to

Industrial Engineering

Course Objective

In this course, it is aimed to enable students to develop mathematical models and use computer assisted solution methods to find the best solutions for industrial engineering problems by describing them subjects, such as multi-criteria decision making, game theory, decision analysis, utility theory, network models and nonlinear programming.

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 create and solve network models and nonlinear models for the solution of engineering problems
3   To know and be able to apply multi-criteria decision making techniques
4   To be able to apply game, utility theory and decision analysis techniques
5   To be able to apply the methods described in the course with the help of computer softwares
6   To be able to perform the methods described on the problems

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

END 3519 - OPERATIONS RESEARCH I

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Multi-criteria decision making-1
2 Multi-criteria decision making-2
3 Decision analysis-1
4 Decision analysis-2
5 Utility theory
6 Game theory
7 Network theory-1
8 Network theory-2
9 Network theory applications
10 Problem solving
11 Midterm
12 Nonlinear programming
13 Nonlinear programming
14 Nonlinear programming

Recomended or Required Reading

1. Lecture notes
2. Winston W.L. (2004), Operations Research: Applications and Algorithms, 4th Edition, Brooks/Cole CENGAGE Learning
3. Hillier F.S., Lieberman G.J. (2015), Introductions to Operations Research, 10th Edition, McGraw-Hill Inc.
4. Taha H.A. (2017), Operations Research: An Introduction, 10th Edition, Pearson Education Inc.

Planned Learning Activities and Teaching Methods

The lecture presentations regarding the course content will be made using powerpoint and solving problems on the board.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE1 MIDTERM EXAM 1
2 MTE2 MIDTERM EXAM 2
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE1 * 0.25 + MTE2 * 0.25 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE1 * 0.25 + MTE2 * 0.25 + RST * 0.50


*** 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)

Prof.Dr. Adil Baykasoğlu, adil.baykasoglu@deu.edu.tr
Prof.Dr. Şeyda Ayşe Yıldız, seyda.topaloglu@deu.edu.tr

Office Hours

Prof.Dr. Adil Baykasoğlu, it will be announced at the beginning of the course
Prof.Dr. Şeyda Ayşe Yıldız, it will be announced at the beginning of the course

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 4 52
Preparation for final exam 1 25 25
Preparation for midterm exam 1 15 15
Preparations before/after weekly lectures 13 2 26
Preparation for project 1 25 25
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 147

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.143553
LO.255443
LO.3553
LO.45443
LO.55443
LO.65544