Term 1

Lectures

Week	Lecture Topic	Lecturer
1	No lecture	N/A
2	Introduction to AI	Allan Tucker
3	Unsupervised learning	Allan Tucker
4	Supervised Learning	Allan Tucker
5	Neural networks	Allan Tucker
6	Expert systems	Allan Tucker
7	ASK week	N/A
8	Deep Learning in Python: Image analysis	Alina Miron
9	Deep Learning in Python: NLP	Alina Miron
10	Causal and Bayesian Models	Allan Tucker
11	Sequences and Time-based Models	Allan Tucker
12	Philosophy and ethics of AI	Allan Tucker

Week	Activity	Labs/Seminar
1	No labs	N/A
2	Introduction to RStudio ✅	Not assessed
3	Lab 1 - Unsupervised learning in R ✅	Assessed
4	Lab 2 - Supervised learning in R	Assessed
5	Lab 3 - Neural networks in R ✅	Assessed
6	Expert systems	N/A
7	ASK week	N/A
8	Lab 4 - Deep Learning for Images in Python ✅	Assessed
9	Deep Learning for Text in Python	Not assessed
10	Bayesian networks in R	Not assessed
11	No labs	N/A
12	No lab	N/A