COURSE UNIT TITLE

: MANAGEMENT SCIENCE

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
QMT 2001 MANAGEMENT SCIENCE COMPULSORY 3 0 0 5

Offered By

BUSINESS ADMINISTRATION

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR GÜZIN ÖZDAĞOĞLU

Offered to

BUSINESS ADMINISTRATION

Course Objective

The course aims to provide students the basics of linear programming and management science tools for solving business-oriented optimization problems.

Learning Outcomes of the Course Unit

1   Have a knowledge understanding the basic concepts of mathematical models, linear programming methods
2   Be able to use essential tools of linear programming for making business decisions.
3   Employ critical thinking and independent problem-solving skills to optimize real world business problems.
4   Be able to use Spreadsheet Software and a solver to perform analysis and support presentations.
5   Communicate clearly the results of an basic optimization methods and explain the managerial implication.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to course Basic Concepts and Model Building
2 Introduction to Spreadsheet Modeling
3 Introduction to Optimization Modeling
4 Linear Programming Models
5 Linear Programming Models Sensitivity Analysis
6 Sensitivity Analysis
7 Linear Programming Models Business Applications
8 Network Models Assignment Problem
9 Network Models Assignment Problem
10 Network Models Assignment Problem
11 Network Models Assignment Problem
12 Integer Programming

Recomended or Required Reading

Text Books:
1. Management Science Modeling, Albright and Winston, 4th edition or later, South-Western Cengage Learning.
(Alternativly: Practical Management Science, Albright and Winston, 4th edition or later, South-Western Cengage Learning.)
2. Introduction to Management Science, Hillier and Hillier, 2010, Pearson Education.

Supplimentary Resources:
1. Işletme Problemleri için Optimizasyon -Adım Adım Uygulama Örnekleriyle, Sabri ERDEM, Makina Mühendisleri Odası Yayınları, 2010
2. Introduction to Management Science 7th Ed. By Bernard W. Taylor III, Pearson Education
3. Lecture Slides:
Complementary of the text book.
4. Software:
Spreadsheet Software with Solver add-in.

Planned Learning Activities and Teaching Methods

1. Lectures
Class lecture is highly interactive and format is direct. The instructor prompts students for response to questions
posed and solicits their thoughts on issues discussed. Lectures will focus on the transfer of basic optimization
concepts and techniques where comprehension is substantially enhanced by additional elaboration and
illustration. The emphasis is on the modeling of business problems and their solutions using computer software rather than rigorous mathematics.

2. Computer Applications
Lectures will be carried out at the computer laboratory using spreadsheet software with solver add-in that will be introduced to build optimization models. Instruction on the use of this software as it relates to optimization problems will be provided in class applications with the cases in the book.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MT Midterm
2 PSL ProblemSolving
3 FN Final
4 FCG FINAL COURSE GRADE MT * 0.35 +PSL * 0.20 + FN * 0.45
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MT * 0.35 + PSL * 0.20 + RST * 0.45


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

Students will solve a network model problem to show their understanding of basic contepts of model building and analysis. The solution will be collected in two parts: One in algebraic model building and one in spreadsheet modeling and analysis. The two parts combined is worth 20% of the overall grade.

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

1. Attending at least 70 percent of lectures is mandatory.
2. Plagiarism of any type will result in disciplinary action.

Contact Details for the Lecturer(s)

guzin.kavrukkoca@deu.edu.tr (122b)
ayhan.celik@deu.edu.tr (Office No: 123)

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparations before/after weekly lectures 11 4 44
Preparation for midterm exam 1 16 16
Preparation for final exam 1 16 16
Final 1 1,5 2
Midterm 1 1,5 2
TOTAL WORKLOAD (hours) 116

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15
LO.111215222
LO.21314142
LO.311444143235
LO.411425145223
LO.511534134533