Course Title:
Management Science
Credit Hours/ ECTS Credits:
(3+0+0) 3 TEDU Credits, 6 ECTS Credits
Catalog Description:
Mathematical modeling techniques of managerial problems. Multicriteria decision making techniques. Forecasting techniques. Linear programming. Sensitivity analysis. Integer programming. Goal programming. Project management. Simulation modelling. Mathematical modeling techniques of managerial problems. Multicriteria decision making techniques. Forecasting techniques. Linear programming. Sensitivity analysis. Integer programming. Goal programming. Project management. Simulation modelling.
Pre-requisite:
Co-requisite:
Pre-requisites: ( MATH 101 OR MATH 111 OR MATH 114-O OR MATH 109 OR MATH 115 )
Co-requisites: NONE
Course Objectives:
The main objective of this course is to build a foundation of knowledge on mathematical modeling and applications on management science problems. This course provides an introduction to the basic principles of linear and integer programming and software usage to model and solve real life problems.
Software Usage:
Students will use MS Office applications (especially MS Excel) and linear programming software (Lindo, Gams) to work on their weekly assignments about 2 hours a week.
Course Learning Outcomes:
Upon succesful completion of this course, a student will be able to
1. Discover business functions and inherent managerial problems
2. Recognize the importance of systematic thinking and analytical tools to solve business problems
3. Develop the ability to use mathematical models and tools to formulate and solve real life problems
4. Assess the importance of information systems and software usage for competitive advantage
5. Discover the optimization techniques and their use in managerial decision making
Learning Activities and Teaching Methods:
Telling/Explaining
Discussion/Debate
Questioning
Reading
Demonstrating
Problem Solving
Inquiry
Collaborating
Predict-Observe-Explain
Case Study/Scenarion Analysis
Assessment Methods and Criteria:
Test / Exam
Quiz
Case Studies / Homework
Student Workload:
Case Study Analysis
40
hrs