BUAD 635 Quantitative Analysis for Decision Making
This course offers the opportunity to apply mathematical models and tools for the analysis of business problems and management decision making. It acquaints students with quantitative techniques commonly used in the decision-making process. Sample topics include concepts of decision making and decision analysis, linear programming, sensitivity analysis, transportation and assignments, problem forecasting and time series analysis, inventory concepts, network models, and mathematical simulations and game theory.
Units: 3
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WHO NEEDS THIS COURSE? Graduate students:
This course may also be taken by
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TIME INVESTMENT 3 credit hours course with 50 minutes meeting for every credit hours. This translates to 150 minutes (2.5 hours) for weekly meeting. Students should expect to spend 3 hours per credit hour for coursework. This translates to 9 hours for course work every week. In summary:
This course will run for 9 weeks, hence, students should expect to spend 103.5 hours (11.5 X 9) through the duration of the course. |
COURSE OUTCOMES
Upon completion of this course, the students will be able to:
- Apply probability concepts to decision making
- Employ statistical analysis for decision making Business professionals
- Construct data visualization and mathematical models for decision making
- Use inventory control models for decision making
- Apply graphical and computer methods in linear programming.
- Mathematical modelling of decision-making problem in linear
- Use linear programming in decision-making.
- Employee network and transportation models and project management techniques in decision making
TOPICS TO COVER
| Unit 1 |
Introduction to Quantitative Analysis and Concepts of Probability (to be continued) |
| Unit 2 |
Concepts of Probability (continuation) and Decision Making Analysis |
| Unit 3 |
Regression Models |
| Unit 4 |
Forecasting |
| Unit 5 |
Inventory Control Models |
| Unit 6 |
Graphical and Computer Methods in Linear Programming |
| Unit 7 |
Application of Linear Programming Models |
| Unit 8 |
Transportation and Assignment Model |
| Unit 9 |
Network Models |
COURSE FACILITATOR
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LeRoy Tim Ruhupatty, PhD Dr. LeRoy Tim Ruhupatty is an associate professor in the Business Department of AIIAS. He has taught in different universities in Asia, Africa, and the United States of America for more than 24 years now. He completed his Bachelor of Science in Accounting at Universitas Klabat, Indonesia, Masters of Science in Accounting and Taxation at the University of St. Tomas, Philippines, and Doctor of Philosophy in Accounting and Finance at the University of Western Australia, Australia. His main teaching area is in accounting, but he also enjoys teaching investment management, personal finance, quality and knowledge management, and advanced decision making tools. He loves travelling, scuba diving, and photography. |
DEVELOPERS
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Pak Thong Lee, PhD Dr. Pak Lee is the original developer of the course. He is a seasoned professor, researcher and business expert. He served AIIAS as a PhD Business program advisor/director and professor for several years. After that, he was called to serve as the MBA program director at Asia-Pacific International University (AIU) in Thailand. He has been a business consultant of many institutions, companies and other organizations for many years. His passion in sharing his expertise to business professionals continuous even after his retirement. He is a guru especially in the fields of accounting and finance. |
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Sunia Fokufoka, PhD Dr. Sunia Fokufoka serves as an associate professor of Management at Southern Adventist University (SAU) in Tennessee, USA. Before coming to SAU, he worked as the program director for online and DLC at the Adventist International Institute of Advanced Studies (AIIAS), Philippines. He taught several courses in the Business department and assisted in the overall program development. His areas of interest are organizational commitment, commitment escalation, organizational behavior and spirituality. |