MS Fall 2024

- Teacher: Dr. Khalid Ahmad Khan
This course provides students with tools and techniques for improving decision making, particularly in the context of projects and uncertainty. Students will learn a structured approach to decision analysis, including identifying objectives, alternatives, and evaluation criteria.
Major topics covered include:
- The decision analysis process
- Understanding cognitive biases that impact decision making
- Environmental scanning methods like SWOT and TOWS analysis
- Group decision making techniques like stepladder, nominal group technique, Delphi method
- Multi-criteria decision-making methods and the Analytical Hierarchy Process
- Decision trees for modeling scenarios and expected values
- Using statistics for inference and regression analysis
- Monte Carlo simulation for quantifying uncertainty
- Ethical considerations in business decision making
Through readings, case studies, assignments and a final project, students will apply tools like decision trees, AHP, statistics, and simulations to real-world decision problems. An emphasis is placed on hands-on application. Upon completing the course, students will be better prepared to systematically evaluate alternatives and make more effective decisions in the face of complexity and uncertainty.

- Teacher: Dr. Khalid Ahmad Khan
- Non-editing teacher: M. Ahmad Awaisi
- Non-editing teacher: Zain Tahir