INTERNATIONAL BURCH UNIVERSITY
Graduate Study  Faculty of Economics and Social Sciences
(3+2) Management Master With Thesis
20122013
SYLLABUS 
Code 
Name 
Level 
Year 
Semester 
BUS 557 
Mathematical Programming 
Graduate 
1 
Fall 
Status 
Number of ECTS Credits 
Class Hours Per Week 
Total Hours Per Semester 
Language 

7.5 

150 
English 
Instructor 
Assistant 
Coordinator 
Ali GÖKSU, Assoc. Prof. Dr. 

Ali GÖKSU, Assoc. Prof. Dr. 
[email protected] 

no email 
COURSE OBJECTIVE 
The course aims to give the student the basic theoretical and practical knowledge to develop computer aided mathematical programming models and apply these models to the main areas of business such as production, finance and marketing. During the course, successful mathematical programming application papers are discussed. A student who successfully finishes the course is expected to have acquired the competency to develop mathematical programming models and to apply them to the business environment using computer aided tools. 
COURSE CONTENT 
 Introduction – Equations and Inequalities, Function and Graphs
 Matrix and Determinant
 Linear Programming
 Linear Programming Solution Algorithms
 Sensitivity Analysis
 Paper Presentations
 Transportation Problems
 Paper Presentations
 Network Models
 Paper Presentations
 CPMPERT
 Paper Presentations
 Integer Programming
 Paper Presentations

Description 
 Lectures
 Practical Sessions
 Excersises
 Presentation
 Project
 Assignments
 Case Studies

Description (%) 
Homework  1  10  Midterm Exam(s)  1  30  Presentation  1  10  Final Exam  1  50  +Attendance, participation   

Learning outcomes 
 Build a mathematical programming model of a reallife situation;
 Apply a suitable variant of the simplex method to solve a linear programming problem;
 Use a computer package to solve the type of linear programming problems that arise in practice;
 Write a report that describes the formulation of a linear programming problem, and presents and interprets the solution;

TEXTBOOK(S) 
 Render, B., Stair, M.R., Hanna, E.M.(2009), Quantitative Analysis for Management, 10th Edition, PrenticeHall, Inc.

ECTS (Allocated based on student) WORKLOAD 
Lecture (14 weeks x Lecture hours per week)  3  16  48  Laboratory / Practice (14 weeks x Laboratory/Practice hours per week)  3  16  48  Midterm Examination (1 week)  1  14  14  Final Examination(1 week)  1  20  20  Preparation for Midterm Examination  1  20  20  Preparation for Final Examination  7.5   0 
