OSSU-computer-science/extras/readings.md
2017-02-28 20:35:34 -05:00

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Computer Science - Great Readings

This document consists of great books or articles on computer science. Some are here because there is a course covering the same material; some are just great books that you should read at some point in your career.

Once you have made it through most of the curriculum, knowing whether a book is worth your time will become easier. Or, if you are struggling in one of the courses, perhaps reading a book on the subject will help.

Name Author(s)
Introduction to Computation and Programming Using Python John V. Guttag
Discrete Mathematics with Applications (4th Edition) Susanna S. Epp
Transaction Processing: Concepts and Techniques Jim Gray, Andreas Reuter
Data and Reality: A Timeless Perspective on Perceiving and Managing Information in Our Imprecise World William Kent
Architecture of a Database System Joseph M. Hellerstein, Michael Stonebraker, James Hamilton
Introduction to Algorithms (3rd Edition) Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein
Modern Operating Systems (4th Edition) Andrew S. Tanenbaum, Herbert Bos
Computer Networking: A Top-Down Approach (6th Edition) James F Kurose, Keith W Ross
Design Patterns: Elements of Reusable Object-Oriented Software Erich Gamma, Richard Helm, Ralph Johnson, John Vlissides
Refactoring Martin Fowler
The Architecture of Open Source Applications Michael DiBernardo (editor)
Compilers: Principles, Techniques, and Tools (2nd Edition) Alfred V. Aho, Monica S. Lam, Ravi Sethi, Jeffrey D. Ullman
Computer Networks (5th Edition) Andrew S. Tanenbaum, David J. Wetherall
Clean Code Robert Martin
Code Complete Steve McConnell
The Pragmatic Programmer Andrew Hunt, David Thomas
The Mythical Man-Month Fred Brooks, Jr.
Structure and Interpretation of Computer Programs Hal Abelson, Jerry Sussman, Julie Sussman
Introduction to Computing: Explorations in Language, Logic, and Machines David Evans
Applied Discrete Structures Alan Doerr, Ken Levasseur
Calculus Made Easy Silvanus P. Thompson
Grinstead and Snells Introduction to Probability Charles M. Grinstead, J. Laurie Snell
Compiler Construction Niklaus Wirth
Deep Learning Ian Goodfellow, Yoshua Bengio and Aaron Courville
Bayesian Reasoning and Machine Learning David Barber