Course Syllabus 1. Program of Study Faculty/Institute/College Bachelor of Business Administration Program Mahidol University International College 2. Course Code Course Title ICMB 363 Management Science 3. Number of Credits 4 4. Prerequisite(s) ICNS 104 Fundamental Statistics 5. Type of Course Core Course 6. Trimester / Academic Year T2/2014-2015 7. Course Conditions BBA Status (Lecture-Lab-Study) (4-0-8) 8. Course Description Model building as a foundation for rational decision making and problem solving, linear and nonlinear programming, network models, queuing analysis, probability and decision theory, and simulation, computer software applying these techniques in the analysis of a wide variety of decision problems. 9. Course Objective(s) After successful completion of this course, students will: 1. Understand the basic concepts of probability and decision theory. 2. Understand the basic concepts of optimization modeling. 3. Understand how statistics and optimizations can be applied to solve business problems. 10. Course Outline Week 1 2 3 4 5 6 Lecture Hours Introduction to Management Science 4 Probability and Statistics 4 Decision Making under Uncertainty 4 Simulation Models 4 Midterm Review 4 Midterm Examination (Monday, February 9, 2015, 18.00-19.50) 4 Topics 1 Instructor DCL/PPT DCL/PPT DCL/PPT DCL/PPT DCL/PPT DCL/PPT 7 8 9 10 11 12 Linear Programming (Formulation and Graphical Solution) Linear Programming (Computer Solution) Linear Programming (Sensitivity Analysis) Linear Programming (Integer Linear Programming) Final Exam Review Final Examination (Tuesday, March 24, 2015, 18.00-19.50) Total 4 4 4 4 4 OCS/PPT OCS/PPT OCS/PPT OCS/PPT OCS/PPT OCS/PPT 44 11. Teaching Media Whiteboard, projector, and computer. 12. Teaching Methods Explaining (lecturing), demonstrating (teaching through examples), collaborating (group discussions and assignments), and learning by teaching. 13. Measurement and Evaluation of Student Achievement Composition Attendance and Participation Assignments Midterm Examination Final Examination Total Percentage 10% 10% 40% 40% 100% 14. Course Evaluation* Raw Score Grade 90-100 A 85-89 B+ 80-84 B 75-79 C+ 70-74 C 65-69 D+ 60-64 D 0-60 F *These are general guidelines and are subject to adjustments at instructors’ discretion. 15. Required Textbook Albright, S. C., Zappe, C. J., & Winston, W. L. (2011). Data Analysis, Optimization, and Simulation Modeling. Canada: South-Western Cengage Learning. 16. Instructors Ornlatcha Sivarak, Ph.D. (OCS) [email protected] Office Hours: Mon and Wed, 12:00 – 14:00 Praowpan Tansitpong, Ph.D. (PPT) [email protected] Office hours:Tue, 12:00-16:00 2 Dolchai La-ornual, Ph.D. (DCL) [email protected] Office Hours: Tue and Thu 14:00 – 16:00 17. Course Coordinator Program Director of Information Systems Major 3
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