
Fundamentals of Discrete Math for Computer Science by Tom Jenkyns
This clearly written textbook presents an accessible introduction to discrete mathematics for computer science students, offering the reader an enjoyable and stimulating path to improve their programming competence. The text empowers students to think critically, to be effective problem solvers, to integrate theory and practice, and to recognize the importance of abstraction. Its motivational and interactive style provokes a conversation with the reader through a questioning commentary, and supplies detailed walkthroughs of several algorithms.
This updated and enhanced new edition also includes new material on directed graphs, and on drawing and coloring graphs, in addition to more than 100 new exercises (with solutions to selected exercises).
Students embarking on the start of their studies of computer science will find this book to be an easy-to-understand and fun-to-read primer, ideal for use in a mathematics course taken concurrently with their first programming course.
-
Modelling Computing Systems
-
Sets, Logic and Maths for Computing
-
Principles of Digital Image Processing
-
Introduction to Artificial Intelligence
-
A First Introduction to Quantum Computing and Information
-
Introduction to Data Science
-
A Practical Approach to Compiler Construction
-
A Concise Introduction to Languages and Machines
-
Data Structures and Algorithms with Python
-
Mathematics for Computer Graphics
-
A Beginners Guide to Python 3 Programming
-
Philosophical and Cultural Aspects of Computing
-
Principles of Data Mining
-
Pattern Recognition
-
Introduction to Deep Learning
-
Financial Software Engineering
-
Guide to Competitive Programming
-
Advanced Guide to Python 3 Programming
-
Introduction to Medical Image Analysis
-
Introduction to Video and Image Processing
-
Introduction to Software Quality
-
Multicore Programming Using the ParC Language
-
Introduction to HPC with MPI for Data Science
-
Computability and Complexity
-
Object-Oriented Programming Languages: Interpretation
-
Introduction to Parallel Computing
-
Concise Guide to Databases
-
Human-Centred Scientific Data Visualisation
-
Guide to Using Generative AI in Programming
-
Programming in HTML and PHP
-
Introduction to Cryptographic Definitions
-
Proofs and Algorithms
-
Introduction to Software Process Improvement
-
Rigorous Software Development
-
Sensing and Systems in Pervasive Computing
-
Autonomic Computing
-
OCaml Scientific Computing
-
Applied Logic for Computer Scientists
-
Basic Graph Theory
Dr. Ben Stephenson is a Teaching Professor in the Department of Computer Science at the University of Calgary, AB, Canada. His other publications include the Springer textbook Fundamentals of Discrete Math for Computer Science: A Problem-Solving Primer.
| SKU | Unavailable |
| ISBN 13 | 9783319701509 |
| ISBN 10 | 3319701509 |
| Title | Fundamentals of Discrete Math for Computer Science |
| Author | Tom Jenkyns |
| Series | Undergraduate Topics In Computer Science |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer International Publishing AG |
| Year published | 2018-05-08 |
| Number of pages | 512 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |






































