COURSE UNIT TITLE

: OPERATIONS RESEARCH II

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
END 3624 OPERATIONS RESEARCH II COMPULSORY 4 0 0 5

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, we will discuss topics such as multi-criteria decision making, goal programming, decision analysis, utility theory, network models, game theory, and nonlinear programming. Our goal is to help students develop their ability to create mathematical models related to these subjects and use appropriate solution methods to find the most suitable solutions to Industrial Engineering problems.

Learning Outcomes of the Course Unit

1   Ability to apply multi-criteria decision-making techniques and goal programming
2   Ability to apply decision analysis technique and game theory principles
3   Ability to create network models and nonlinear models for solving Industrial Engineering problems
4   Ability to solve network models and nonlinear models with relevant methods
5   Ability to interpret, report, and present solutions acquired through the implementation of optimization techniques in the field of industrial engineering

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

END 3525 - 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 Multi-objective optimization - Goal programming
4 Decision analysis - 1
5 Decision analysis - 2
6 Utility theory
7 Network models - 1
8 Network models - 2
9 Network models - 3
10 Game theory - 1
11 Game theory - 2
12 Non-linear programming - 1
13 Non-linear programming - 2
14 Non-linear programming - 3

Recomended or Required Reading

1. Course notes
2. Winston W.L. (2004), Operations Research: Applications and Algorithms, 4th Edition, Brooks/Cole CENGACE 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
5. https://www.turcademy.com/tr

Planned Learning Activities and Teaching Methods

Tutorial / Question-Answer / Problem Solving / Case Study

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 PRJ PROJECT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + PRJ * 0.20 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + PRJ * 0.20 + RST * 0.50


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. Şeyda Ayşe Yıldız
e-mail: seyda.topaloglu@deu.edu.tr
Office: (0232) 301 76 00

Office Hours

Will be announced later.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 1 14
Preparation for midterm exam 1 15 15
Preparation for final exam 1 20 20
Project Preparation 1 25 25
Preparing presentations 1 3 3
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 123

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.12
LO.22
LO.32
LO.42
LO.55423

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

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