CSI 4106: Introduction to Artificial Intelligence

Author

Marcel Turcotte

Published

July 10, 2025

This page contains an outline of the topics, content, and assignments for the semester.

Note that this schedule will be updated as the semester progresses, with all changes documented here.

Date Topic Prepare Slides Assignment Exam
Sept. 3 Defining AI - -
Sept. 8 Intro to machine learning (ML) - -
Sept. 10 Linear regression. - -
Sept. 15 Training - -
Sept. 17 Logistic regression - -
Sept. 22 Model evaluation - -
Sept. 24 Hyperparameter Tuning - -
Sept. 29 Bias-Variance Tradeoff - -
Sept. 29 - - - A1: Jupyter -
Oct. 1 - - - - Quiz
Oct. 6 Machine Learning Engineering - -
Oct. 8 Introduction to Artificial Neural Networks - -
Oct. 13 Reading week - no lecture - - - -
Oct. 15 Reading week - no lecture - - - -
Oct. 20 - - - A2: ML -
Oct. 20 Training Artificial Neural Networks - -
Oct. 22 Softmax, cross-entropy, regularization - -
Oct. 27 Convolutional Neural Networks - -
Oct. 29 Introduction to Search - -
Nov. 3 Informed Search - -
Nov. 5 Local Search - -
Nov. 10 - - - A3: DL -
Nov. 10 Population-Based Metaheuristics - -
Nov. 12 - - - - Quiz
Nov. 17 Adversarial Search - -
Nov. 19 Monte Carlo Tree Search - -
Nov. 24 Formal Reasoning - -
Nov. 26 Neuro-symbolic - -
Dec. 1 Review (Tentative) - -
Dec. 1 - - - A4: Search -