Mathematics for Information Technology

by Alfred Basta, Stephan DeLong, Nadine Basta

Overview

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.

Product Details

ISBN-13:	9781111127831
Publisher:	Cengage Learning
Publication date:	01/01/2013
Edition description:	New Edition
Pages:	512
Product dimensions:	8.40(w) x 10.80(h) x 0.90(d)

About the Author

Alfred Basta, PhD, is a professor of mathematics, cryptography, and information security as well as a professional speaker on topics in Internet security, networking, and cryptography. He is a member of many associations including the Mathematical Association of America. Dr. Basta's other publications include MATHEMATICS FOR INFORMATION TECHNOLOGY, LINUX OPERATIONS AND ADMINISTRATION, and DATABASE SECURITY.

Stephan DeLong is a professor of mathematics at Kaplan University. He received a Master of Science degree in Pure Mathematics from Lehigh University, in Pennsylvania.

Nadine Basta, MS, is a professor of computer science, information technology, and security. Her numerous certifications include MCSE, MSDBA, CCDP, NCSE, NCTE, and CCA. A security consultant and auditor, she combines strong "in the field" experience with her academic background. She is also coauthor of MATHEMATICS FOR INFORMATION TECHNOLOGY and LINUX OPERATIONS AND ADMINISTRATION.

Table of Contents

1. Sets. 2. Logic. 3. Binary and Other Number Systems. 4. Straight Line Equations and Graphs. 5. Solving Systems of Linear Equations Algebraically and with Matrices. 6. Sequences and Series. 7. Right Triangle Geometry and Trigonometry. 8. Trigonometric Identities. 9. The Complex Numbers. 10. Vectors. 11. Exponential and Logarithmic Equations. 12. Probability. 13. Statistics. 14. Graph Theory. Appendix: Answers to Odd-Numbered Exercises