Don't buy it you will regret it. Use OCW to guide your own life-long learning, or to teach others. Tom Leighton, and Marten Dijk. Previous programming experience would be helpful, but is not required. He tries to throw in some more advanced topics such as formal machines and complexity theory, but only at the cost of having the overall quality of the material be watered down. Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Kenneth Rosen, McGraw-Hill, 2007. Reviewed in the United States on August 28, 2005. Recursive definitions and algorithms. If I knew enough to use this book, I wouldn't need it. Learn more », © 2001–2018 Please try again. Instructors, request your exam copies online and get instant access. Students will further understand the notions of Euler circuits, Euler paths, Hamiltonian circuits, Hamiltonian paths, and how to compute whether such circuits and paths exist within a graph. This book is written terribly. Clifford Stein is a Professor of IEOR at Columbia University. Kenneth Rosen, McGraw-Hill, 2011. Methods of proof. It skims over topics without providing enough exposition on the topics to allow students to have a fair grasp on the subject. After viewing product detail pages, look here to find an easy way to navigate back to pages you are interested in. Massachusetts Institute of Technology. This course covers elementary discrete mathematics for computer science and engineering. Students will be acquainted with sequences and how they are different from sets. He also holds an appointment in the Department of Computer Science. Mathematical induction. There's a problem loading this menu right now. Question 4. Probability on finite probability spaces. Listen to the highly anticipated memoir, "A Promised Land". Do you struggle with academic concepts you never learned?For programmers only. The presentation is somewhat unconventional. His main research area is algorithms, primarily computational geometry. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required. It gives thorough coverage to topics that have great importance to computer scientists and provides a motivating computer science example for each math topic, helping answer the age-old question, "Why do we have to learn this?" Purchase your assigned textbook as a CourseSmart eTextbook, and stop lugging books around campus! Great fun. Your recently viewed items and featured recommendations, Select the department you want to search in. These are notes on discrete mathematics for computer scientists. Have a solid working knowledge of proof by mathematical induction, and will be comfortable with inductive proofs. Reviewed in the United States on January 31, 2013, As a first year college student, I find this book really hard to understand. 2. Please choose a different delivery location. Your use of the MIT OpenCourseWare site and materials is subject to our Creative Commons License and other terms of use. Prior to joining Columbia, he spent 9 years as an Assistant and Associate Professor in the Dartmouth College Department of Computer Science. I have to say that it really is a terrible book for students to learn from who have never had much exposure to non-calculus math and the concept of the "mathematical proof". See related courses in the following collections: Explore the topics covered in this course with MIT Crosslinks, a website that highlights connections among select MIT undergraduate STEM courses and recommends specific study materials from OCW and others. Constantly there are several page proofs/derivations that confuse you more than help you understand the simple equation shown shortly after. Home On top of that the book is very quick paced. Solving recurrences. It may takes up to 1-5 minutes before you received it. His research interests include the design and analysis of algorithms, combinatorial optimization, operations research, network algorithms, scheduling, algorithm engineering and computational biology. Other readers will always be interested in your opinion of the books you've read. Stein/Drysdale/Bogart's Discrete Mathematics for Computer Scientists is ideal for computer science students taking the discrete math course. » With more than 2,400 courses available, OCW is delivering on the promise of open sharing of knowledge.
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