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.
Programming
| Name |
Author(s) |
| Introduction to Computation and Programming Using Python |
John V. Guttag |
| How to Design Programs |
Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, Shriram Krishnamurthi |
| Structure and Interpretation of Computer Programs |
Hal Abelson, Jerry Sussman, Julie Sussman |
| Concepts, Techniques, and Models of Computer Programming |
Peter Van Roy, Seif Haridi |
| Design Patterns: Elements of Reusable Object-Oriented Software |
Erich Gamma, Richard Helm, Ralph Johnson, John Vlissides |
| Refactoring |
Martin Fowler |
| Clean Code |
Robert Martin |
| Code Complete |
Steve McConnell |
| The Pragmatic Programmer |
Andrew Hunt, David Thomas |
Math
Systems
Theory
Applications
| Name |
Author(s) |
| 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 |
| The Architecture of Open Source Applications |
Michael DiBernardo (editor) |
| Deep Learning |
Ian Goodfellow, Yoshua Bengio and Aaron Courville |
| Bayesian Reasoning and Machine Learning |
David Barber |
| Compilers: Principles, Techniques, and Tools (2nd Edition) |
Alfred V. Aho, Monica S. Lam, Ravi Sethi, Jeffrey D. Ullman |
| Compiler Construction |
Niklaus Wirth |
| The Mythical Man-Month |
Fred Brooks, Jr. |
