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Student of Computer Science



Computational Physics: Problem Solving with Computers, with Disk by Rubin Landau,

Computational Physics: Problem Solving with Computers, with Disk by Rubin Landau,
Help students master real-world problems as they develop new insight into the physical sciences Problems in the physical sciences that once baffled and frustrated scientists can now be solved easily with the aid of a computer. Computers can quickly complete complex calculations, provide numerical simulations of natural systems, and explore the unknown. Computational Physics shows students how to use computers to solve scientific problems and understand systems at a level previously possible only in a research environment. Adaptable to a ten-week class or a full-year course, it provides C and Fortran programs that can be modified and rewritten as needed to implement a wide range of computational projects. Light on theory, heavy on applications, this practical, easy-to-understand guide Presents material from a problem-oriented perspective Integrates physics, computer science, and numerical methods and statistics Encourages creative thinking and an object-oriented view of problem solving Provides C and Fortran programs for implementing most of the projects Provides samples of problems actually solved in two ten-week quarters Includes a 3.5" floppy disk containing the codes featured in the text Offers multimedia demonstrations and updates on a complementary Web site With this engaging book as a guide, advanced undergraduates and first-year graduate students will gain confidence in their abilities and develop new insight into the physical sciences as they use their computers to address challenging and stimulating problems.



Understanding Networked Applications: A First Course by David G. Messerschmitt,
Understanding Networked Applications: A First Course by David G. Messerschmitt,
Designed for use in undergraduate and graduate courses in Information/Library Science, Telecom, Business, Engineering and Medical Infomatics programs, this textbook offers nonexperts an accessible, thoughtful introduction to the applications and infrastructure in networked computing, providing information to make the right technological and organizational decisions in working with developers to design or acquire effective computing solutions. Understanding the rich conjunction of networking and computing is essential for anyone involved in the formulation and implementation of new application ideas, whether in business, education, or government. Most non-computer science students entering the IT profession today have not been adequately prepared to work with, let alone take advantage of the computing infrastructures they'll encounter in the real world. The only courses that currently discuss aspects of this environment in any detail are in Computer Science departments, and are at a level that is considerably too advanced for their needs and backgrounds. And these courses are not likely to cover the economic, societal, and governmental issues that are also important for them to understand. This is probably the first book in computing that takes a top-down approach, starting with applications. The focus is on explaining core concepts and terminology, getting into technical detail only where necessary. Example and analogies from everyday life help students to better understand concepts such as object-oriented programming, data mining, encryption, firewalls, etc. which might otherwise seem intimidating. Peppered throughout are sidebars that contain anecdotes, more detailedexplanations, and additional examples that give students a refreshing break from the running text. * Takes a functional, top-down approach, moving from application opportunities to a forward-looking view of the possibilities and limitations of networking and computing technologies.



Lecture Notes in Computer Science - Lecture Notes in Computer Science (LNCS) is an important computer science series published by Springer-Verlag. It reports start-of-the-art research results in computer science, especially in the form of proceedings, post-proceedings and research monographs.

Carnegie Mellon School of Computer Science - The Carnegie Mellon School of Computer Science (SCS) of Carnegie Mellon University gained its present status as a separate school in 1988; the department of computer science was established in 1965. It ranks as one of the best Computer Science programs in the world.

Theoretical Computer Science (journal) - Theoretical Computer Science (TCS) is a computer science journal published by Elsevier, started in 1975. The area covered is (naturally) theoretical computer science.

Theoretical computer science - Theoretical computer science is the collection of topics of computer science that focuses on the more abstract and mathematical aspects of computing, such as the theory of computation, analysis of algorithms and semantics of programming languages. Although not itself a single topic, its practitioners form a distinct subgroup within computer science researchers.



studentofcomputerscience

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