CS 61A

Structure and Interpretation of Computer Programs

An introduction to programming built around abstraction: procedures, recursion, higher-order functions, objects, and even writing your own interpreters.

CS 61B

Data Structures and Algorithms

Core data structures like lists, trees, and hash tables, plus sorting, searching, and the basics of software engineering, taught in Java.

CS 70

Discrete Mathematics and Probability Theory

The math behind computer science: logic, induction, and modular arithmetic, plus probability, applied to things like cryptography and error correction.

CS 170

Efficient Algorithms and Intractable Problems

Designing and analyzing algorithms, and understanding their limits, from optimal search trees to NP-completeness.

CS 168

Introduction to the Internet: Architecture and Protocols

How the internet actually works: routing, congestion control, and core protocols like TCP, DNS, and HTTP.

CS 188

Introduction to Artificial Intelligence

The ideas behind intelligent systems: search, planning, and reasoning under uncertainty, with an introduction to machine learning.

CS 169A

Introduction to Software Engineering

How real software gets built: test-driven development, agile teams, cloud deployment, and writing code that's actually maintainable.

CS 189

Introduction to Machine Learning

The math and models behind machine learning: regression, classification, neural networks, and probabilistic methods.

CS 161

Computer Security

Thinking like an attacker to build better defenses: cryptography, OS and network security, and writing software that doesn't get exploited.