COMPSCI 713

COMPSCI 713 · AI Fundamentals

This course covers the theoretical and biological foundations of AI — including evolutionary computation, fuzzy logic, probabilistic reasoning, and biologically-inspired architectures such as protein structure prediction.

Notes here focus on:

• the mathematical intuition behind classical AI methods
• connections between biological systems and computational models
• understanding why algorithms work, not just how to apply them

Linked notes:

• Soft Computing Explained
• AlphaFold Explained
• Mathematical Foundations
• Transformers
• COMPSCI 714

Bridges Forward

• Soft Computing Explained connects classical uncertainty handling to modern deep learning
• AlphaFold Explained connects biological structure prediction to attention-based architectures