Fundamentals of Decision Making

FSD310

This class is the introductory foundation of the program, providing the computing, statistical, and mathematical tools needed for data-driven decision making. It is divided into three modules:

• Data Engineering Fundamentals — a Capture the Flag introduction to the data scientist's toolbox: the Linux command line, Git, SSH, and Python with NumPy.
• Statistical Models for Decision Making — descriptive statistics, probability, and linear and mixed regression models.
• Optimisation for Decision Making — combinatorial, stochastic, and continuous optimisation, with a practical on automatic differentiation.