COURSE UNIT TITLE

: OPERATIONS RESEARCH I

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
END 3525 OPERATIONS RESEARCH I COMPULSORY 3 1 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

This course aims to introduce students to Operations Research (OR) topics and demonstrate how OR is applied in real-life situations. The objective is for students to develop the skills necessary to mathematically model deterministic problems and solve them using computers. Additionally, the course will enable students to make informed business decisions from an optimization standpoint.

Learning Outcomes of the Course Unit

1   Ability to develop linear programming and integer programming models to solve industrial engineering problems
2   Ability to solve linear programming and integer programming problems using appropriate methods
3   Ability to conduct sensitivity analysis in linear programming problems
4   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 2418 - INTRODUCTION TO MATHEMATICAL MODELING

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Operations Research and the modeling approach to decision making
2 Modeling with linear programming, graphical solution method for two-variable models
3 Linear programming and optimization software applications - 1
4 Linear programming and optimization software applications - 2
5 Simplex algorithm
6 Special solutions encountered in the simplex algorithm (alternative optimum solution, unbounded/infeasible/degenerate solutions), Big-M method
7 Sensitivity analysis and duality - 1
8 Sensitivity analysis and duality - 2
9 Modeling with integer programming and integer programming examples - 1
10 Modeling with integer programming and integer programming examples - 2
11 Branch-and-bound method - 1
12 Branch-and-bound method - 2
13 Transportation and assignment problems - 1
14 Transportation and assignment problems - 2

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

Presentation / Question-Answer / Problem Solving / Lab

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 2 28
Labratory 1 14 14
Preparation for midterm exam 1 15 15
Preparation for final exam 1 20 20
Project Preparation 1 25 25
Preparation before-after PBL/lectures 1 14 14
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.122
LO.232
LO.322
LO.45423