Ana içeriğe atla

BA 202

Course ID:
Course Code & Number
BA 202
Course Title
Management Science
Level
BS
Credit Hours/ ECTS Credits
(3+0+0) 3 TEDU Credits, 6 ECTS Credits
Year of Study:
Sophomore
Semester:
Spring
Type of Course:
Compulsory
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite::
Pre-requisites: MATH 101 OR MATH 111 OR MATH 114-O OR MATH 109 OR MATH 115
Co-requisites: NONE
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.
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
Assessment Methods and Criteria Others:
Design Content
Recommended Reading
1. Operations Research: Applications and Algorithms, W.L. Winston, Thomson Books, Fourth Edition, 2004. 2. International Journal of Management Science. 3. Related journal articles and publications
Required Reading
1. Introduction to Management Science, B. W. Taylor III, Tenth Edition, Prentice Hall, 2012.
Grading
Learning Activities and Teaching Methods Others:
Course Coordinator:
Student Workload:
WorkloadHrs
Case Study Analysis40
Course & Program Learning Outcome Matching: