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 3519 OPERATIONS RESEARCH I 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

The aim of this course is to introduce the topics of Operations Research (OR) to students taking this course for the first time and to show how OR is applied to real-life problems. Students are expected to acquire the skills to mathematically model and solve deterministic problems using computers and learn how to make smart business decisions from an optimization point of view.

Learning Outcomes of the Course Unit

1   Ability to develop linear programming and integer programming models for solving industrial engineering problems.
2   Ability to solve linear programming and integer programming problems with appropriate methods
3   Ability to perform sensitivity analysis in linear programming problems
4   Ability to create and interpret solutions using optimization software

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, modeling approach in decision making, steps in operations research study
2 Modeling with linear programming and graphical solution method, examination of special cases encountered in graphical solution method
3 Linear programming modeling examples
4 Solution of linear programming models using LINGO optimizasyon software
5 Sensitivity analysis in graphical method, examples of sensitivity analysis with LINGO software
6 Computation steps of the simplex solution algorithm used in linear programming
7 Midterm exam
8 Detection of special solutions (alternative optimum solution, unbounded/infeasible/degenerate solutions) in simplex algorithm, Big-M method, Duality Theory
9 Goal programming and modeling examples
10 Modeling with integer programming and modeling examples
11 Solution methods for integer programming, branch and bound algorithm
12 Transportation and assignment problems
13 Transportation and assignment problems
14 Project presentations

Recomended or Required Reading

1. Lecture 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

Lecture / Question-Answer / Discussion / Problem solving

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


*** 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)

e-mail: seyda.topaloglu@deu.edu.tr
Office Tel: 0232 301 76 00

Office Hours

It will be announced later.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 4 48
Preparations before/after weekly lectures 12 2 24
Preparation for midterm exam 1 15 15
Project Preparation 1 25 25
Preparation for final exam 1 25 25
Midterm 1 2 2
Final 1 2 2
Project Final Presentation 1 1 1
TOTAL WORKLOAD (hours) 142

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.1453
LO.2453
LO.34
LO.44