Discrete Structures for Computer Science: Counting, Recursion, and Probability

Discrete Structures for Computer Science: Counting, Recursion, and Probability

This is a free textbook for an undergraduate course on Discrete Structures for Computer Science students. It covers mathematical reasoning, basic proof techniques, sets, functions, relations, basic graph theory, asymptotic notation, and countability.

Publication date: 20 Apr 2016

ISBN-10: n/a

ISBN-13: n/a

Paperback: 284 pages

Views: 7,487

Type: Textbook

Publisher: n/a

License: Creative Commons Attribution-ShareAlike 4.0 International

Post time: 28 Apr 2016 11:00:00

Discrete Structures for Computer Science: Counting, Recursion, and Probability

 Discrete Structures for Computer Science: Counting, Recursion, and Probability This is a free textbook for an undergraduate course on Discrete Structures for Computer Science students. It covers mathematical reasoning, basic proof techniques, sets, functions, relations, basic graph theory, asymptotic notation, and countability.
Tag(s): Graph Theory Introduction to Computer Science Mathematics
Publication date: 20 Apr 2016
ISBN-10: n/a
ISBN-13: n/a
Paperback: 284 pages
Views: 7,487
Document Type: Textbook
Publisher: n/a
License: Creative Commons Attribution-ShareAlike 4.0 International
Post time: 28 Apr 2016 11:00:00
Summary/Excerpts of (and not a substitute for) the Creative Commons Attribution-ShareAlike 4.0 International:
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From the Preface:
Michiel Smid wrote:This is a free textbook for an undergraduate course on Discrete Structures for Computer Science students, which I have been teaching at Carleton University since the fall term of 2013. The material is offered as the second-year course COMP 2804 (Discrete Structures II). Students are assumed to have taken COMP 1805 (Discrete Structures I), which covers mathematical reasoning, basic proof techniques, sets, functions, relations, basic graph theory, asymptotic notation, and countability.

During a 12-week term with three hours of classes per week, I cover most of the material in this book, except for Chapter 2, which has been included so that students can review the material from COMP 1805.




About The Author(s)


Michiel Smid is a Professor in the School of Computer Science at Carleton University. His research interests include Algorithms, Applications of Computational Geometry in Manufacturing, Computational Geometry, Data Structures, Discrete Mathematics, Geometric Networks, Graph Theory, and Theory of Computing.

Michiel Smid

Michiel Smid is a Professor in the School of Computer Science at Carleton University. His research interests include Algorithms, Applications of Computational Geometry in Manufacturing, Computational Geometry, Data Structures, Discrete Mathematics, Geometric Networks, Graph Theory, and Theory of Computing.


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