COURSE UNIT TITLE

: QUANTITATIVE TECHNIQUES IN INDUSTRIAL ENGINEERING

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IND 4917 QUANTITATIVE TECHNIQUES IN INDUSTRIAL ENGINEERING ELECTIVE 3 0 0 4

Offered By

Industrial Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR BILGE BILGEN

Offered to

Industrial Engineering

Course Objective

The primary purpose of this course is to provide students with a more detailed understanding of various operations research techniques, their underlying assumptions, the procedures for implementing them, and how to interpret them in the context of industrial engineering operational situations.

Learning Outcomes of the Course Unit

1   An ability to define application areas of quantitative techniques
2   An ability to use optimization techniques in industrial engineering decision making
3   Develop skills in structuring, solving analyzing industrial engineering problems
4   An ability to solve design optimization problems via mathematical programming models
5   An ability to use mathematical programming languages such as ILOG OPL studio in the solution phase

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction
2 Decision Theory
3 Advanced Linear Programming Applications
4 Advanced Linear Programming Applications
5 Advanced Integer Programming Applications
6 Advanced Integer Programming Applications
7 Network Model Formulations
8 Convex and Concave Functions
9 Nonlinear Programming
10 Mid Term Exam
11 Nonlinear Programming
12 Stochastic Programming Applications
13 Presentations
14 Presentations

Recomended or Required Reading

Textbook(s): Operations Research: Applications and Algorithms, Cengage Learning, Wayne L. Winston
Supplementary Book(s):
Quantitative Analysis for Management, Pearson, Prentice Hall, 2009, Render B., Stair, R.M., Hanna, M.E.
An Introduction to Management Science Quantitative Approaches to Decision Making, South-Western Cengage Learning

Planned Learning Activities and Teaching Methods

The presentations which are prepared by using books, articles and proceedings as well as class board will be used in the scope of the course programme.
Theoretical Lectures, Case studies and Projects

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE*0.35+ASG *0.15+FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE*0.35+ASG *0.15+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

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 2 28
Preparation for midterm exam 1 10 10
Preparation for final exam 1 12 12
Preparing presentations 1 10 10
Final 1 1,5 2
Midterm 1 1,5 2
TOTAL WORKLOAD (hours) 106

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12
LO.14
LO.235554
LO.335554
LO.45554
LO.55554