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Analysis of Algorithms, by Jeffrey McConnell
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Updated to follow the recommendations put forth by the ACM/SIGCSE 2001 task force, Analysis of Algorithms raises awareness of the effects that algorithms have on the efficiency of a program and develops the necessary skills to analyze general algorithms used in programs. The text presents the material with the expectation that it can be used with active and cooperative learning methodology, based on the premise that students learn more effectively and retain more information longer when they are active participants in the learning process. To accomplish this, the chapters are clear and complete to encourage students to prepare by reading before class, and the text is filled with exciting examples and exercises that look at the efficiency of various algorithms to solve a problem. The author is well known for workshops that he presents on the active learning model. He has written an instructor's manual that helps instructors understand how to present the material in an active way.
- Sales Rank: #1772571 in eBooks
- Published on: 2009-09-29
- Released on: 2009-09-29
- Format: Kindle eBook
Most helpful customer reviews
0 of 0 people found the following review helpful.
One Star
By Vasanth Neppalli
The one star explains it all
12 of 12 people found the following review helpful.
Good Basic Textbook
By Richard A. Leipold
I am a professor of computer science and used this book for my Algorithms class. Although it had a few errors, there were many things I liked about it. First, the size of the book is just right; it covers all of the major subjects and I was able to use the entire text in one semester. Other textbooks cover topics in so much detail, I often had to leave many topics out of the course. Second, the active learning approach is great; having students do in class exercises and group projects helped them grasp the material more quickly. Third, I liked the omission of higher level mathematics; our college offers a degree in computer science but also other computer-related degrees which do not require a knowledge of calculus. Any student should be able to grasp the math in this book. In conclusion, I will use this text again and look forward to other authors writing books that "get to the point" quickly like this author did.
0 of 0 people found the following review helpful.
This book is extremely good at explaining things to make the algorithms and just ...
By MJ
This book is extremely good at explaining things to make the algorithms and just the basics of algorithms clear. I've taken about 3 programming courses that emphasized algorithms, and they all used different books. This one was the only one that made it easy to understand. It's also one of the few books I'm also going to keep and not sell off for side change, because I found it extremely valuable. Maybe it was because it was my last class of the three that used algorithms, and I've somewhat learned the other ones before, but this book actually made me understand the algorithms and the different benefits, etc to one algorithm over another and to understand the differences in time and memory usage that just didn't click with me before until this one. Ex: I could never tell you what a greedy algorithm was, or how to implement a divide and conquer algorithm in code.
Also, when it came time for interviews and tests, I was never able to study out of the other algorithm books, they just made no sense to me. This one, I could go over the chapters easily, and still understand it. Looking back, I wish I had had this book when I interviewed for a summer intern opportunity here at Amazon xD. It would've definitely helped me. Unfortunately, I didn't get this book until after, but at least I've got the knowledge of it now. I'd HIGHLY recommend this book. (Note: Part of the ease of learning the content may also have to do with the quality of instructor, so take that into consideration as well, but in other words, I still recommend)
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