DS7003 Advanced Decision Making: Predictive Analytics & Machine Learning Handbook | UEL

Aims and learning outcomes

This module aims to develop a deep understanding of ways of making decisions that are based strongly on data and information. Particular focus will be on mathematical decision-making models including some use of computer-based support. Various case studies will be examined.

Learning outcomes for the module are for students to:

1. Understand the design of decision-making models.
2. Understand the mathematical logic basis of decision-making.
3. Understand how to assign probabilities to uncertain events; assign utilities to possible consequences and make decisions that maximise expected utility.
4. Use of software-based decision-making tools.
5. Critically evaluate alternative decision models.
6. Conduct decision-making exercises.
7. Critically evaluate and analyse data.
8. Compose decision-making based reports. 

The definitive description of the module is given in Annex 1.