Lab Manual for Schneider/Gersting's Invitation to Computer Science / Edition 5 available in Paperback
The Lab Manual for INVITATION TO COMPUTER SCIENCE, 5th Edition, is a valuable tool designed to enhance your classroom experience. Lab activities, objectives, materials lists, step-by-step procedures, illustrations, review questions and more are all included.
About the Author
Kenneth A. Lambert is a Professor of Computer Science at Washington and Lee University. He has taught courses in almost every subject area of computer science and has published several textbooks in introductory programming and data structures in C++, Java, and Python. He is the co-creator of the BreezySwing framework and is the creator of the breezypythongui framework.
G. Michael Schneider is Professor Emeritus of Mathematics and Computer Science at Macalester College in St. Paul, Minnesota. He also served as a Visiting Professor of Computer Science at Columbia University in New York. His professional interests include parallel processing, computer networks, programming methodology, and computer science education. He has written many successful textbooks on software development, data structures, computer organization, and a breadth-first overview of computer science. Dr. Schneider was a member of the committee that authored the ACM/IEEE Computing Curriculum 2001. He has received Fulbright Grants to teach computer science and applied mathematics in Mauritius, Malaysia, Nepal, and Mongolia. He received his B.S. from Michigan University and his M.Sc. and Ph.D. in computer science from the University of Wisconsin-Madison.
Judith Gersting is a Professor Emeritus of Computer Science at the University of Hawaii at Hilo and at Indiana University-Purdue University at Indianapolis, where she now teaches part-time. An experienced educator and respected professional, Dr. Gersting has written a number of leading college textbooks. Her areas of specialization include theoretical computer science and computer science education. She earned her B.S. from Stetson University and her M.A. and Ph.D. in mathematics from Arizona State University.
Table of Contents
1: An Introduction to Computer Science. Lab Experience 1: A Glossary and Web Browsing. 2: Algorithm Discovery and Design. Lab Experience 2: Search for a Value. Lab Experience 3: Search for the Largest Value. 3: The Efficiency of Algorithms. Lab Experience 4: Sort Animations. Lab Experience 5: Data Cleanup and Binary Search. Lab Experience 6: Sort Timing. 4: The Building Blocks: Binary Numbers, Boolean Logic, and Gates. Lab Experience 7: Logic Circuits (A). Lab Experience 8: Logic Circuits (B). 5: Computer Systems Organization. Lab Experience 9: von Neumann Machines. 6: An Introduction to System Software and Virtual Machines. Lab Experience 10: Assembly Language Programming. 7: Computer Networks, the Internet, and the World Wide Web. Lab Experience 11: Networks. 8: Information Security. Lab Experience 12: Data Encryption. 9: Introduction to High Level Languages (brief intro in printed text). 10: The Tower of Babel. Lab Experience 13: HTML and FTP Downloading. Lab Experience 14: LISP Programming. 11: Compilers and Language Translation. Lab Experience 15: Programming Language Translation. 12: Models of Computation. Lab Experience 16: Turing Machines (A). Lab Experience 17: Turing Machines (B). 13: Simulation and Modeling. Lab Experience 18: Discrete Event Simulation. 14: Electronic Commerce. Lab Experience 19: Database Management. 15: Artificial Intelligence. Lab Experience 20: Neural Networks.