Dr. Khalil Chebil

Algorithm analysis, recursion, lists, stacks, queues, trees and graphs, with Java labs.

Brute force, divide and conquer, transform and conquer, dynamic programming and greedy algorithms.

An interactive textbook: agents, search, logic, neural networks, reinforcement learning and knowledge graphs. Every chapter pairs theory with an implementation notebook and a lab.

An interactive textbook: describing datasets, probability and inference, up to ANOVA and Bayesian methods, with runnable notebooks.

One small project, from its first commit to a published Docker image: pull requests, project boards, GitHub Actions and Docker.

The lecture decks of the Advanced Artificial Intelligence course.