Undergraduate Course Notes

These notes record the foundations that shaped my later work in software engineering and AI systems.

Course Map

Area	Courses	What They Contribute
Artificial Intelligence	Introduction to AI, AI Technology	Knowledge representation, reasoning, search, expert systems, and neural networks
Machine Learning	Deep Learning, Recommender Systems	Supervised learning, representation learning, ranking, and recommendation
Mathematical Foundations	Discrete Mathematics	Logic, sets, relations, functions, and graph theory
Distributed Trust	Blockchain	Cryptography, consensus, digital currency, and Hyperledger Fabric
Interactive Computing	XR Technology	VR, graphics, 3D tooling, interaction, and product design

From Courses to Maintained Notes

The course archive preserves semester material. The actively maintained versions live in AI Systems, Algorithms, and CS Foundations, where topics are reorganized by concept and engineering dependency.

Independent Study

• CS DIY — a community-maintained path through core computer science courses.