37 lines
4.1 KiB
Markdown
37 lines
4.1 KiB
Markdown
# Computer Science - Great Readings
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This document consists of great books or articles on computer science.
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Some are here because there is a course covering the same material;
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some are just great books that you should read at some point in your career.
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Once you have made it through most of the curriculum, knowing whether a book is worth your time will become easier.
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Or, if you are struggling in one of the courses, perhaps reading a book on the subject will help.
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Name | Author(s)
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:-- | :--:
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[Introduction to Computation and Programming Using Python](https://www.amazon.com/Introduction-Computation-Programming-Using-Python/dp/0262525003/) | John V. Guttag
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[Discrete Mathematics with Applications (4th Edition)](http://www.amazon.com/Discrete-Mathematics-Applications-Susanna-Epp/dp/0495391328/) | Susanna S. Epp
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[How to Design Programs](http://www.ccs.neu.edu/home/matthias/HtDP2e/) | Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, Shriram Krishnamurthi
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[Transaction Processing: Concepts and Techniques](https://www.amazon.com/Transaction-Processing-Concepts-Techniques-Management/dp/1558601902) | Jim Gray, Andreas Reuter
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[Data and Reality: A Timeless Perspective on Perceiving and Managing Information in Our Imprecise World](https://www.amazon.com/Data-Reality-Perspective-Perceiving-Information/dp/1935504215) | William Kent
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[Architecture of a Database System](http://db.cs.berkeley.edu/papers/fntdb07-architecture.pdf) | Joseph M. Hellerstein, Michael Stonebraker, James Hamilton
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[Introduction to Algorithms (3rd Edition)](http://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844/) | Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein
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[Modern Operating Systems (4th Edition)](http://www.amazon.com/Modern-Operating-Systems-Andrew-Tanenbaum/dp/013359162X/) | Andrew S. Tanenbaum, Herbert Bos
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[Computer Networking: A Top-Down Approach (6th Edition)](https://www.amazon.com/Computer-Networking-A-Top-Down-Approach/dp/1292153598/) | James F Kurose, Keith W Ross
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[Design Patterns: Elements of Reusable Object-Oriented Software](https://www.amazon.com/Design-Patterns-Elements-Reusable-Object-Oriented/dp/0201633612) | Erich Gamma, Richard Helm, Ralph Johnson, John Vlissides
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[Refactoring](https://www.refactoring.com/) | Martin Fowler
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[The Architecture of Open Source Applications](http://aosabook.org/en/) | Michael DiBernardo (editor)
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[Compilers: Principles, Techniques, and Tools (2nd Edition)](http://www.amazon.com/Compilers-Principles-Techniques-Tools-2nd/dp/0321486811/) | Alfred V. Aho, Monica S. Lam, Ravi Sethi, Jeffrey D. Ullman
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[Computer Networks (5th Edition)](http://www.amazon.com/Computer-Networks-5th-Andrew-Tanenbaum/dp/0132126958/) | Andrew S. Tanenbaum, David J. Wetherall
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[Clean Code](https://www.amazon.com/Clean-Code-Handbook-Software-Craftsmanship/dp/0132350882) | Robert Martin
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[Code Complete](https://www.amazon.com/Code-Complete-Practical-Handbook-Construction/dp/0735619670) | Steve McConnell
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[The Pragmatic Programmer](https://www.amazon.com/Pragmatic-Programmer-Journeyman-Master/dp/020161622X) | Andrew Hunt, David Thomas
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[The Mythical Man-Month](https://www.amazon.com/Mythical-Man-Month-Software-Engineering-Anniversary/dp/0201835959/) | Fred Brooks, Jr.
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[Structure and Interpretation of Computer Programs](https://mitpress.mit.edu/sicp/full-text/book/book.html) | Hal Abelson, Jerry Sussman, Julie Sussman
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[Introduction to Computing: Explorations in Language, Logic, and Machines](http://www.computingbook.org/) | David Evans
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[Applied Discrete Structures](http://faculty.uml.edu/klevasseur/ads2/) | Alan Doerr, Ken Levasseur
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[Calculus Made Easy](http://www.gutenberg.org/ebooks/33283) | Silvanus P. Thompson
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[Grinstead and Snell’s Introduction to Probability](https://math.dartmouth.edu/~prob/prob/prob.pdf) |Charles M. Grinstead, J. Laurie Snell
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[Compiler Construction](http://www.ethoberon.ethz.ch/WirthPubl/CBEAll.pdf) | Niklaus Wirth
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[Deep Learning](http://www.deeplearningbook.org/) | Ian Goodfellow, Yoshua Bengio and Aaron Courville
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[Bayesian Reasoning and Machine Learning](http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage) | David Barber |