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Computer Science Year 2 (MCSL)
(18 Books)
1
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
by
Martin Kleppmann
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4.70 avg rating — 10,478 ratings
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2
Introduction to Algorithms
by
Thomas H. Cormen
4.35 avg rating — 9,305 ratings
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3
Computer Networking: A Top-Down Approach
by
James F. Kurose
4.08 avg rating — 2,235 ratings
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4
Concrete Mathematics: A Foundation for Computer Science
by
Ronald Graham
4.34 avg rating — 1,864 ratings
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5
Algorithms
by
Robert Sedgewick
4.42 avg rating — 1,824 ratings
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6
The Algorithm Design Manual
by
Steven S. Skiena
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4.34 avg rating — 2,682 ratings
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7
Fundamentals of Database Systems
by
Ramez Elmasri
3.81 avg rating — 961 ratings
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8
The Elements Of Computing Systems: Building A Modern Computer From First Principles
by
Noam Nisan
4.54 avg rating — 947 ratings
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9
The Mathematical Theory of Communication
by
Claude Shannon
4.38 avg rating — 687 ratings
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10
Operating Systems: Three Easy Pieces
by
Remzi H. Arpaci-Dusseau
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4.71 avg rating — 806 ratings
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11
The Nature of Computation
by
Cristopher Moore
4.59 avg rating — 111 ratings
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12
Crafting Interpreters
by
Robert Nystrom
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4.71 avg rating — 440 ratings
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13
Automata and Computability
by
Dexter C. Kozen
4.21 avg rating — 47 ratings
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14
Science and Information Theory
by
Léon Brillouin
4.73 avg rating — 11 ratings
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15
Introduction to Numerical Analysis
by
Josef Stoer
4.13 avg rating — 15 ratings
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16
A Student's Guide to Coding and Information Theory
by
Stefan M. Moser
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17
Numerical Linear Algebra: An Introduction (Cambridge Texts in Applied Mathematics, Series Number 56)
by
Holger Wendland
3.62 avg rating — 8 ratings
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18
Introduction to Coding and Information Theory
by
Steven Roman
3.57 avg rating — 7 ratings
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