University
Berkeley STEM textbooks
8 canonical courses indexed across EECS, Mathematics, Physics. Every book required or recommended below has live price comparison across Amazon, eBay, AbeBooks, Alibris, and Pearson InformIT.
Courses
- CS 164Programming Languages and CompilersEECS
- CS 170Efficient Algorithms and Intractable ProblemsEECS
- CS 188Introduction to Artificial IntelligenceEECS
- CS 189Introduction to Machine LearningEECS
- CS 61AStructure and Interpretation of Computer ProgramsEECS
- CS 70Discrete Mathematics and Probability TheoryEECS
- MATH 54Linear Algebra and Differential EquationsMathematics
- PHYSICS 7APhysics for Scientists and EngineersPhysics
Textbooks used at Berkeley

Artificial Intelligence: A Modern Approach
ReqStuart Russell, Peter Norvig

Compilers: Principles, Techniques, and Tools
ReqAlfred V. Aho, Monica S. Lam et al.

Discrete Mathematics and Its Applications
ReqKenneth H. Rosen

Introduction to Algorithms
ReqThomas H. Cormen, Charles E. Leiserson et al.

Introduction to Linear Algebra
ReqGilbert Strang

Pattern Recognition and Machine Learning
ReqChristopher M. Bishop

University Physics with Modern Physics
ReqHugh D. Young, Roger A. Freedman

Artificial Intelligence: A Modern Approach
RecStuart Russell, Peter Norvig
Elementary Differential Equations and Boundary Value Problems
RecWilliam E. Boyce, Richard C. DiPrima et al.
Probabilistic Machine Learning: An Introduction
RecKevin P. Murphy

Structure and Interpretation of Computer Programs
RecHarold Abelson, Gerald Jay Sussman et al.