COURSE UNIT TITLE

: QUANTITATIVE METHODS FOR DECISION MAKING

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ENM 5009 QUANTITATIVE METHODS FOR DECISION MAKING ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR BILGE BILGEN

Offered to

ENGINEERING MANAGEMENT- NON THESIS (EVENING PROGRAM)

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

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 Linear Programming Applications
4 Linear Programming Applications
5 Integer Programming Applications
6 Integer Programming Applications
7 Network Model Formulations
8 Network Model Formulations
9 Queuing Models
10 Mid-Term Exam
11 Simulation Models
12 Markov Chains
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, David Ray Anderson, Dennis J. Sweeney, Thomas A. Williams, R. Kipp Martin.

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 PRJ PROJECT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.35 + PRJ * 0.15 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.35 + PRJ * 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 5 70
Preparing presentations 1 40 40
Final 1 30 30
Midterm 1 25 25
TOTAL WORKLOAD (hours) 207

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.133234
LO.25341
LO.314452
LO.45443