INTERNATIONAL BURCH UNIVERSITY
Graduate Study - Faculty of Economics and Social Sciences
(3+2) Management Master With Thesis
2011-2012

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
Week
Topic
1. Introduction – Equations and Inequalities, Function and Graphs
2. Matrix and Determinant
3. Linear Programming
4. Linear Programming Solution Algorithms
5. Sensitivity Analysis
6. Paper Presentations
7. Transportation Problems
8. Paper Presentations
9. Network Models
10. Paper Presentations
11. CPM-PERT
12. Paper Presentations
13. Integer Programming
14. Paper Presentations

LABORATORY/PRACTICE PLAN
Week
Topic

TEACHING/ASSESSMENT
Description
• Lectures
• Practical Sessions
• Excersises
• Presentation
• Project
• Assignments
• Case Studies
Description (%)
Method Quantity Percentage (%)
Homework115
Midterm Exam(s)130
Presentation115
Final Exam140
+Attendance, participation
Total: 100
Learning outcomes
• Build a mathematical programming model of a real-life 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, Prentice-Hall, Inc.

ECTS (Allocated based on student) WORKLOAD
Activities Quantity Duration (Hour) Total Work Load
Lecture (14 weeks x Lecture hours per week)31648
Laboratory / Practice (14 weeks x Laboratory/Practice hours per week)31648
Midterm Examination (1 week)11414
Final Examination(1 week)12020
Preparation for Midterm Examination12020
Preparation for Final Examination7.50