Self-directed study undertaken during the pandemic. Problem set submissions across five weeks (0, 1, 2, 3, and 5) covering: graph search (BFS, minimax adversarial search), propositional logic and model checking, probabilistic reasoning (Bayesian networks, Markov chains), constraint satisfaction (AC-3 arc consistency, backtracking search), and convolutional neural networks (TensorFlow/Keras).
Motivated by personal interest in understanding the theoretical foundations beneath modern AI systems.