University
MIT STEM textbooks
9 canonical courses indexed across Biology, EECS, Mathematics, Physics. Every book required or recommended below has live price comparison across Amazon, eBay, AbeBooks, Alibris, and Pearson InformIT.
Courses
- 18.06Linear AlgebraMathematics
- 18.100Real AnalysisMathematics
- 6.006Introduction to AlgorithmsEECS
- 6.035Computer Language EngineeringEECS
- 6.046Design and Analysis of AlgorithmsEECS
- 6.867Machine LearningEECS
- 7.06Cell BiologyBiology
- 8.01Physics I: Classical MechanicsPhysics
- 8.02Physics II: Electricity and MagnetismPhysics
Textbooks used at MIT
Compilers: Principles, Techniques, and Tools
ReqAlfred V. Aho, Monica S. Lam et al.
Introduction to Algorithms
ReqThomas H. Cormen, Charles E. Leiserson et al.
Used in 2 courses
Introduction to Linear Algebra
ReqGilbert Strang
Molecular Biology of the Cell
ReqBruce Alberts, Alexander Johnson et al.
Pattern Recognition and Machine Learning
ReqChristopher M. Bishop
Principles of Mathematical Analysis
ReqWalter Rudin
An Introduction to Mechanics
RecDaniel Kleppner, Robert Kolenkow
Introduction to Algorithms
RecThomas H. Cormen, Charles E. Leiserson et al.
Introduction to Electrodynamics
RecDavid J. Griffiths
Probabilistic Machine Learning: An Introduction
RecKevin P. Murphy
University Physics with Modern Physics
RecHugh D. Young, Roger A. Freedman