Fundamentals of discrete math for computer science : a problem-solving primer
(Book)
Author
Contributors
Status
General Shelving - 3rd Floor
QA76.9.M35 J46 2012
1 available
QA76.9.M35 J46 2012
1 available
Description
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Copies
Location | Call Number | Status |
---|---|---|
General Shelving - 3rd Floor | QA76.9.M35 J46 2012 | On Shelf |
More Details
Format
Book
Physical Desc
xii, 416 pages : illustrations ; 24 cm
Language
English
Notes
General Note
Includes index.
Description
An understanding of discrete mathematics is essential for students of computer science wishing to improve their programming competence. Fundamentals of Discrete Math for Computer Science provides an engaging and motivational introduction to traditional topics in discrete mathematics, in a manner specifically designed to appeal to computer science students. The text empowers students to think critically, to be effective problem solvers, to integrate theory and practice, and to recognize the importance of abstraction. Clearly structured and interactive in nature, the book presents detailed walkthroughs of several algorithms, stimulating a conversation with the reader through informal commentary and provocative questions. Topics and features: Highly accessible and easy to read, introducing concepts in discrete mathematics without requiring a university-level background in mathematics; Ideally structured for classroom-use and self-study, with modular chapters following ACM curriculum recommendations; Describes mathematical processes in an algorithmic manner, often including a walk-through demonstrating how the algorithm performs the desired task as expected; Contains examples and exercises throughout the text, and highlights the most important concepts in each section; Selects examples that demonstrate a practical use for the concept in question. This easy-to-understand and fun-to-read textbook is ideal for an introductory discrete mathematics course for computer science students at the beginning of their studies. The book assumes no prior mathematical knowledge, and discusses concepts in programming as needed, allowing it to be used in a mathematics course taken concurrently with a student's first programming course.
Local note
SACFinal081324
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Citations
APA Citation, 7th Edition (style guide)
Jenkyns, T. A., & Stephenson, B. (2013). Fundamentals of discrete math for computer science: a problem-solving primer . Springer.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Jenkyns, T. A and Ben Stephenson. 2013. Fundamentals of Discrete Math for Computer Science: A Problem-solving Primer. London ; New York: Springer.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Jenkyns, T. A and Ben Stephenson. Fundamentals of Discrete Math for Computer Science: A Problem-solving Primer London ; New York: Springer, 2013.
Harvard Citation (style guide)Jenkyns, T. A. and Stephenson, B. (2013). Fundamentals of discrete math for computer science: a problem-solving primer. London ; New York: Springer.
MLA Citation, 9th Edition (style guide)Jenkyns, T. A., and Ben Stephenson. Fundamentals of Discrete Math for Computer Science: A Problem-solving Primer Springer, 2013.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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