Mathematics for Computer Scientists by Gareth J. Janacek, Mark Lemmon Close
Mathematics for Computer Scientists - Table of Contents
1. Numbers
2. The statement calculus and logic
3. Mathematical Induction
4. Sets
5. Counting
6. Functions
7. Sequences
8. Calculus
9. Algebra: Matrices, Vectors etc.
10. Probability
11. Looking at Data
What You Will Learn in Mathematics for Computer Scientists
"Mathematics for Computer Scientists" by Gareth J. Janacek and Mark Lemmon Close is a clear and practical introduction to the mathematical foundations used in computing. The book is written specifically for computer science students and focuses on building strong logical thinking rather than heavy abstraction. It explains how "discrete mathematics", "logic", and "set theory" support programming and algorithm design.
The authors cover essential topics such as functions, number systems, vectors, matrices, graphs, and recursion, always linking theory to real computing problems. Concepts like "algorithms" and "mathematical reasoning" are presented in a step-by-step way, with examples that reflect real situations in software development and data structures. This makes the material accessible even for readers with limited mathematical background.
Overall, the book serves as a solid foundation for further study in computer science. It helps students develop problem-solving skills and understand why mathematics is important in computing. With its emphasis on clarity, relevance, and practical application, it is a valuable resource for anyone studying "computer science mathematics" or preparing for more advanced topics in the field.
Book Details & Specifications
Title:
Mathematics for Computer Scientists by Gareth J. Janacek, Mark Lemmon Close
Publisher:
Bookboon (Ventus Publishing)
Year:
2011
Pages:
153
Type:
PDF
Language:
English
ISBN-10 #:
9888407066
ISBN-13 #:
978-9888407064
License:
Academic Educational Resource (no license claimed)
Amazon:
Amazon
About the Author: Gareth J. Janacek
The author Gareth J. Janacek
is an academic author known for explaining "mathematics" clearly to students of "computer science". His work focuses on building strong logical thinking without overwhelming learners with unnecessary theory. He emphasizes concepts like sets, logic, and probability in a way that directly supports computing and algorithmic thinking. Mark Lemmon Close is an educator who brings practical insight into "problem-solving" and "computational thinking". Together, they design learning material that bridges abstract math with real "programming foundations", helping students gain confidence and apply mathematics effectively in computer science studies.
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