SEP 786 / Artificial Intelligence and Machine Learning Fundamentals

1.5 unit(s)

Must be enrolled in SEPT. However, permission will be granted to other students from other graduate programs with department consent.

Solving Problems using AI: Searching, optimization, online search agents.  Constraint satisfaction. Knowledge, Reasoning and Planning: Logic and Inference, Planning and Acting, Knowledge Representation. Knowledge and Reasoning with Uncertainty.  Machine learning problems, training and testing, overfitting. Modelling strategies: data preprocessing, overfitting and model tuning. Measuring predictor importance. Factors that Can Affect Model Performance. Feature selection. Measuring performance of classification models.