Available courses

Software Project Management covers key tools required in developing schedules, tracking performance, reporting progress and managing project data. We will look at the three most commonly used scheduling tools -> Project Libre, MS Project, Primavera and we will also look at no-code tools that are can used for data capture and reporting.

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.