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.