Mathematics for Information Technology
ISBN-13:
9781111127831
ISBN-10:
1111127832
Edition:
1
Author:
Alfred Basta, Nadine Basta, Stephan DeLong
Publication date:
2013
Publisher:
Cengage Learning
Format:
Paperback
512 pages
Category:
AI & Machine Learning
,
Applied
,
Mathematics
,
Computer Science
FREE US shipping
Book details
ISBN-13:
9781111127831
ISBN-10:
1111127832
Edition:
1
Author:
Alfred Basta, Nadine Basta, Stephan DeLong
Publication date:
2013
Publisher:
Cengage Learning
Format:
Paperback
512 pages
Category:
AI & Machine Learning
,
Applied
,
Mathematics
,
Computer Science
Summary
Mathematics for Information Technology (ISBN-13: 9781111127831 and ISBN-10: 1111127832), written by authors
Alfred Basta, Nadine Basta, Stephan DeLong, was published by Cengage Learning in 2013.
With an overall rating of 4.1 stars, it's a notable title among other
AI & Machine Learning
(Applied, Mathematics, Computer Science) books. You can easily purchase or rent Mathematics for Information Technology (Paperback) from BooksRun,
along with many other new and used
AI & Machine Learning
books
and textbooks.
And, if you're looking to sell your copy, our current buyback offer is $2.05.
Description
MATHEMATICS FOR INFORMATION TECHNOLOGY 1E delivers easy-to-understand and balanced mathematical instruction. Each chapter begins with an application, goes on to present the material with examples, and closes with a summary of the relevant concepts and practice exercises. With numerous illustrations included as well, readers can understand the content from a number of different angles. Whether used in a classroom or an online distance-learning format, readers will find Mathematics for Information Technology an invaluable resource.
We would LOVE it if you could help us and other readers by reviewing the book
{user}
{createdAt}
{truncated_title}
{author_block}
by {truncated_author}
