“Discrete mathematics is as essential for computer science as calculus is for physics. More info. UGC NET Computer Science Books. Luenberger is a talented teacher that readers will enjoy learning from. Sophisticated readers will appreciate the style he uses to communicate and teach calculus while others may first want to opt for a more elementary text before attempting to penetrate the solidity of Spivak’s. Inexpensive: If you’re looking for an inexpensive book, between $7 and $12 will get you a paperback that is either very targeted or somewhat general, with only a cursory look at computer science or the principles of computer science. The authors diligently treat the old familiar methods with passion while tactfully intertwining them with newer and equally important more contemporary ones. Additionally, each chapter section comes with questions students can use to gain better hands on experience. Foundations of Computer Science: C Edition. Lang carefully uses his grounded expertise to construct a sturdy foundation for the reader to build their future mathematical knowledge on. Review: Tenacious students in favor of stimulating study will love this book. 4. I have checked the first three book's TOC & reviews i found them meet my needs, thanks.. except for the last one, user reviews was not that good, can you recommend a better one or more easier to follow? Review: Serious math learners will be thrilled by the rigorous conciseness of this textbook. Review: There are many math books that go by the same straightforward title, however not many of them exude the same amount of mastery and reverence for the subject as Carothers’ does. I will say that although the Patterson and Hennessy book is very good, I found it dry and difficult to stick with the entire way through. The book is still written and presented in the same practical an easy to read style that the previous versions were known for. Dense with information on every page and presented in a relaxed, open manner, Dummit and Foote’s Abstract Algebra effectively works to usher the reader into a realm of sophisticated algebraic concepts and theories. Math students will find it easy to understand the ideas presented, while teachers and tutors will discover an engaging and highly effective way to teach statistics material. And it is written by Knuth! Review: Rudin has written an exquisite book on analysis. More info. Instead, it vigorously moves ahead into new territory involving the use of multi-variables and advanced applications. Everything is perfect! He contrives a fantastic and classical introduction to topology that targets continuity and linearity, the dominating themes. Opting for readability over the rigor many of its contemporaries embrace, this textbook provides an excellent starting point for any student looking to learn and understand the subject. The author also has an interesting custom of inserting a parenthesized “why” whenever he purposely bypasses a detail by forcing readers to figure it out themselves. He goes into adequate depth while still maintaining enough brevity to encourage the reader to think on their own. Weiss has structured the subject matter carefully and formulates his writing in a lucid and enjoyable style. However, before I present the books let me add that they are not 'for dummies' and they won't teach you a thing unless you work on them doing at least a couple of exercises and really spending some time trying to grasp them. He covers all aspects of computational science and engineering with experience and authority. Exercises are slightly harder than usual but you'll always find easier exercises. It is recommended that only those with some existing knowledge of linear and complex algebra, differential equations, and even complex analysis and algebra only use this book. Don't let it break your motivation. Read Concrete Mathematics: A Foundation for Computer Science book reviews & author details and more at Amazon.in. The best books on programming and computer science, ... chooses the best books to learn computer science and programming. Readers whose sole focus is learning can easily skim over areas that are excessively detailed without losing grasp of the core concepts. Jaynes should be praised for taking a huge step away from mainstream probability theory and into this fresher approach. It has been widely used by a number of professors as the main text for many first courses. More info. Braun runs through the pages of his book in a light, expertly written manner that will keep readers hooked for hours. He starts basic but fluidly moves towards a level that requires persistence on the reader’s part. This is designed to give you part of the mathematical foundations needed to work in computer science in any of its strands, from business to visual digital arts, music, games. ... things in nature, etc.—we have come up with mathematics to help us describe what’s happening, in a systematic and logical way. Rich in math history and lively from the start, this book would make excellent study and recreational reading for the serious student. http://www.amazon.co.uk/Concrete-Mathematics-Foundation-Computer-Science/dp/0201558025/ref=sr_1_1?s=books&ie=UTF8&qid=1302384402&sr=1-1, Applied Statistics and Probability for Engineers: International Student Version by Douglas C. Montgomery While some will find this frustrating, motivated and determined students will take it as an opportunity to probe deeper and explore real analysis further than they normally might. Can we visually perceive exoplanet transits with amateur telescopes? That is why we respond to questions within a day. All that is needed to learn from this book is a basic understanding of numbers and simple algebra. This is the kind of book that will still be read a hundred years from now, and it truly is the nicest book I own. Free delivery on qualified orders. Jones and Jones form a powerful duo and expertly take students through a painless and surprisingly enjoyable learning experience. Tanton makes no diversions in outlining or trying to draw connections other than what is necessary. During the course of reading this one, it will become blatantly clear to the reader that the author has created this work out of passion and a genuine love for the subject. However, the authors tackle the subject in a well-paced yet rigorous style that is more than commendable. It is a must read item for any intermediate to advanced student who is working in the field of probability theory. Review: This book gives students an accessible introduction to the world of complex analysis and how its methods are used. More info. Students harboring apprehension towards statistics will tremendously enjoy this book. What Discrete Mathematics topics should the average computer science student know? For undergrads, the authors refrain from abstractness and maintain an appreciated level of transparency. Review: This is an exemplary book requiring a small level of mathematical maturity. More info. This book dually holds the characteristics of both an instructive primary aid as well as that of a supplementary read. Pick the tutorial as per your learning style: video tutorials or a book. He finishes this pleasing journey into information and coding theory with a brief introduction to cyclic codes. This book is for Computer Science and Engineering undergraduate students which is simple to comprehend and is especially written in the format these students would enjoy reading and benefit from learning the foundation concepts of Software Engineering. Before approaching, students should have a modest understanding of mapping, set theory, linear algebra and other basic topics. Despite its relatively short length, this book thoroughly encompasses the basic material students are required to know. Ideas, commentaries and recommendations that are resourcefully placed alongside the main text delightfully height the learning experience. Without a doubt, this books more than delivers. More info. More info. For those who are unfamiliar with the subject, sangakus are Japanese geometrical puzzles that were created on wooden tablets and hung in sacred temples and shrines. Why can I not install Keynote on my MacbookPro? Boolean Algebra (Boolean logic, Readers will walk away with an intuitive understanding and sharper awareness of the subject. And I mean ones that have stood the tests of time, what are some of your favorites? The enthusiasm he exhibits throughout will spread onto readers like wildfire. However, serious mathematicians looking to learn from one of the masters in the trade will be thoroughly delighted with Mac Lane’s exposition. In this piece, my goal is to suggest resources to build the mathematical background necessary to get up and running in data science practical/research work. He follows that with two chapters containing a precise teaching on information theory, and a final section containing four chapters devoted to coding theory. The challenge will train them to think intuitively and effectively. His writing brims with examples that help establish an accurate conception of discrete probability, and it includes sound insight into the history and development of probability theory. Frustrated students who have sought after a compatible calculus aid to no avail will agree that this is a professional tool that is presented to the reader on the same wavelength. 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