Foundations of AI and ML

Module introduction and AI history

Introduction to intelligent agents

Introduction to Python Pandas

Introduction to search and games

Introduction to robotics 

Introduction to knowledge and expert systems

Introduction to computer vision

Introduction to NLP  

Introduction to data mining

Basic concepts of machine learning

Data cleaning

Data transformation

Review and coursework

K-nearest neighbour algorithm

Decision tree

Logistic regression 

Model evaluation

Clustering methods

Clustering evaluation

Model selection and hyperparameter tuning

Ensemble learning 1

Ensemble learning 2

Feature selection 

Recommender systems 1

Recommender systems 2

Ethical issues and responsible AI