Computer Resources Guide
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Guide to the Software Engineering Body of Knowledge (Swebok(r))
Author | : IEEE Computer Society |
Publisher | : |
Total Pages | : 348 |
Release | : 2014 |
Genre | : Computer software |
ISBN | : 9780769551661 |
In the Guide to the Software Engineering Body of Knowledge (SWEBOK(R) Guide), the IEEE Computer Society establishes a baseline for the body of knowledge for the field of software engineering, and the work supports the Society's responsibility to promote the advancement of both theory and practice in this field. It should be noted that the Guide does not purport to define the body of knowledge but rather to serve as a compendium and guide to the knowledge that has been developing and evolving over the past four decades. Now in Version 3.0, the Guide's 15 knowledge areas summarize generally accepted topics and list references for detailed information. The editors for Version 3.0 of the SWEBOK(R) Guide are Pierre Bourque (Ecole de technologie superieure (ETS), Universite du Quebec) and Richard E. (Dick) Fairley (Software and Systems Engineering Associates (S2EA)).
Computing with New Resources
Author | : Cristian S. Calude |
Publisher | : Springer |
Total Pages | : 486 |
Release | : 2014-12-09 |
Genre | : Computers |
ISBN | : 3319133500 |
Professor Jozef Gruska is a well known computer scientist for his many and broad results. He was the father of theoretical computer science research in Czechoslovakia and among the first Slovak programmers in the early 1960s. Jozef Gruska introduced the descriptional complexity of grammars, automata, and languages, and is one of the pioneers of parallel (systolic) automata. His other main research interests include parallel systems and automata, as well as quantum information processing, transmission, and cryptography. He is co-founder of four regular series of conferences in informatics and two in quantum information processing and the Founding Chair (1989-96) of the IFIP Specialist Group on Foundations of Computer Science.
How Computers Really Work
Author | : Matthew Justice |
Publisher | : No Starch Press |
Total Pages | : 394 |
Release | : 2020-12-29 |
Genre | : Computers |
ISBN | : 171850067X |
An approachable, hands-on guide to understanding how computers work, from low-level circuits to high-level code. How Computers Really Work is a hands-on guide to the computing ecosystem: everything from circuits to memory and clock signals, machine code, programming languages, operating systems, and the internet. But you won't just read about these concepts, you'll test your knowledge with exercises, and practice what you learn with 41 optional hands-on projects. Build digital circuits, craft a guessing game, convert decimal numbers to binary, examine virtual memory usage, run your own web server, and more. Explore concepts like how to: Think like a software engineer as you use data to describe a real world concept Use Ohm's and Kirchhoff's laws to analyze an electrical circuit Think like a computer as you practice binary addition and execute a program in your mind, step-by-step The book's projects will have you translate your learning into action, as you: Learn how to use a multimeter to measure resistance, current, and voltage Build a half adder to see how logical operations in hardware can be combined to perform useful functions Write a program in assembly language, then examine the resulting machine code Learn to use a debugger, disassemble code, and hack a program to change its behavior without changing the source code Use a port scanner to see which internet ports your computer has open Run your own server and get a solid crash course on how the web works And since a picture is worth a thousand bytes, chapters are filled with detailed diagrams and illustrations to help clarify technical complexities. Requirements: The projects require a variety of hardware - electronics projects need a breadboard, power supply, and various circuit components; software projects are performed on a Raspberry Pi. Appendix B contains a complete list. Even if you skip the projects, the book's major concepts are clearly presented in the main text.
What Can Be Computed?
Author | : John MacCormick |
Publisher | : Princeton University Press |
Total Pages | : 404 |
Release | : 2018-05-01 |
Genre | : Computers |
ISBN | : 0691170665 |
An accessible and rigorous textbook for introducing undergraduates to computer science theory What Can Be Computed? is a uniquely accessible yet rigorous introduction to the most profound ideas at the heart of computer science. Crafted specifically for undergraduates who are studying the subject for the first time, and requiring minimal prerequisites, the book focuses on the essential fundamentals of computer science theory and features a practical approach that uses real computer programs (Python and Java) and encourages active experimentation. It is also ideal for self-study and reference. The book covers the standard topics in the theory of computation, including Turing machines and finite automata, universal computation, nondeterminism, Turing and Karp reductions, undecidability, time-complexity classes such as P and NP, and NP-completeness, including the Cook-Levin Theorem. But the book also provides a broader view of computer science and its historical development, with discussions of Turing's original 1936 computing machines, the connections between undecidability and Gödel's incompleteness theorem, and Karp's famous set of twenty-one NP-complete problems. Throughout, the book recasts traditional computer science concepts by considering how computer programs are used to solve real problems. Standard theorems are stated and proven with full mathematical rigor, but motivation and understanding are enhanced by considering concrete implementations. The book's examples and other content allow readers to view demonstrations of—and to experiment with—a wide selection of the topics it covers. The result is an ideal text for an introduction to the theory of computation. An accessible and rigorous introduction to the essential fundamentals of computer science theory, written specifically for undergraduates taking introduction to the theory of computation Features a practical, interactive approach using real computer programs (Python in the text, with forthcoming Java alternatives online) to enhance motivation and understanding Gives equal emphasis to computability and complexity Includes special topics that demonstrate the profound nature of key ideas in the theory of computation Lecture slides and Python programs are available at whatcanbecomputed.com
Paralysis Resource Guide
Author | : Sam Maddox |
Publisher | : |
Total Pages | : 410 |
Release | : 2020 |
Genre | : Paralysis |
ISBN | : 9780996095198 |
Computer Resources for People with Disabilities
Author | : Alliance for Technology Access |
Publisher | : Hunter House |
Total Pages | : 420 |
Release | : 2004 |
Genre | : Computers |
ISBN | : 9780897934336 |
Tells how to use the computer technology that now exists to overcome orinimize physical problems with speech, learning impairments, paralysis, andther disabilities.
Computing Resources of the Division of Computer Research and Technology
Author | : National Institutes of Health (U.S.). Division of Computer Research and Technology |
Publisher | : |
Total Pages | : 40 |
Release | : 1988 |
Genre | : Computer programs |
ISBN | : |
Guide to Computer Network Security
Author | : Joseph Migga Kizza |
Publisher | : Springer Science & Business Media |
Total Pages | : 483 |
Release | : 2008-12-24 |
Genre | : Computers |
ISBN | : 1848009178 |
If we are to believe in Moore’s law, then every passing day brings new and advanced changes to the technology arena. We are as amazed by miniaturization of computing devices as we are amused by their speed of computation. Everything seems to be in ? ux and moving fast. We are also fast moving towards ubiquitous computing. To achieve this kind of computing landscape, new ease and seamless computing user interfaces have to be developed. Believe me, if you mature and have ever program any digital device, you are, like me, looking forward to this brave new computing landscape with anticipation. However, if history is any guide to use, we in information security, and indeed every computing device user young and old, must brace themselves for a future full of problems. As we enter into this world of fast, small and concealable ubiquitous computing devices, we are entering fertile territory for dubious, mischievous, and malicious people. We need to be on guard because, as expected, help will be slow coming because ? rst, well trained and experienced personnel will still be dif? cult to get and those that will be found will likely be very expensive as the case is today.
Data Science for Undergraduates
Author | : National Academies of Sciences, Engineering, and Medicine |
Publisher | : National Academies Press |
Total Pages | : 139 |
Release | : 2018-11-11 |
Genre | : Education |
ISBN | : 0309475597 |
Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.