![Linux Inofrmation project
Computer science is the study of the storage, transformation and transfer of information.
The field encompasses both the theoretical study of algorithms (including their design,
efficiency and application) and the practical problems involved in implementing them in
terms of computer software and hardware.
Definitions of Computer Science on the Web:
• The systematic study of computing systems and computation. The body of
knowledge resulting from this discipline contains theories for understanding
computing systems and methods; design methodology, algorithms, and tools;
methods for the testing of concepts; methods of analysis and verification; and
knowledge representation and implementation.
www.nitrd.gov/pubs/bluebooks/1995/section.5.html
• (G5) Computing science
www.planning.ed.ac.uk/Pub/Documents/HESA_Definitions/he_planning_plus_2003.htm
• New developments in software or hardware, information systems, computer systems
organization, computer methodologies, data (including structures, encryption, coding
and information theory), etc. BACK
www.pnm.com/sciencefair/choosea.htm
• Organizations that conduct research in the area of science that addresses the study
of data and information storage and processing systems including hardware,
software, basic design principles, user requirements analysis and related economic
and policy issues.
nccs2.urban.org/ntee-cc/u.htm
• The study of computation; the discipline that is concerned with the methods and
techniques related to data processing performed by automatic means.
www.cs.wpi.edu/~gpollice/cs562-s03/ExamDefinitions.html
• the branch of engineering science that studies (with the aid of computers)
computable processes and structures
wordnet.princeton.edu/perl/webwn
• Computer science (academically, CS, CSC or compsci) encompasses a variety of
topics that relates to computation, like abstract analysis of algorithms, formal
grammars, and subjects such as programming languages, program design, software
and computer hardware. ...
en.wikipedia.org/wiki/Computer_science
Computer science is the study of the theoretical foundations of information and
computation and their implementation and application in computer systems.[1][2][3]
Many diverse fields exist within the broader discipline of computer science; some
emphasize the computation of specific results (such as computer graphics), while others
(such as computational complexity theory) relate to properties of computational
problems. Still others focus on the challenges in implementing computations. For
example, programming language theory studies approaches to describing a
computation, while computer programming applies specific programming languages to
craft a solution to some concrete computational problem.
Fields of computer science
http://en.wikipedia.org/wiki/Image:Wiki_letter_w.pngThis section is a stub. You can help](https://image.slidesharecdn.com/csprojectdoc694/85/cs-project-doc-1-320.jpg)
![by adding to it.
[edit]
Mathematical foundations
Cryptography
Algorithms for protecting private data, including encryption.
Graph theory
Foundations for data structures and searching algorithms.
Mathematical logic
Boolean logic and other ways of modeling logical queries.
Type Theory
Formal analysis of the types of data, and the use of these types to understand properties
of programs -- especially program safety.
[edit]
Theory of computation
Main article: Theory of computation
Automata theory
Different logical structures for solving problems.
Computability theory
What is calculable with the current models of computers. Proofs developed by Alan
Turing and others provide insight into the possibilities of what may be computed and
what may not.
Computational complexity theory
Fundamental bounds (especially time and storage space) on classes of computations.
[edit]
Algorithms and data structures
Analysis of algorithms
Time and space complexity of algorithms.
Algorithms
Formal logical processes used for computation, and the efficiency of these processes.
Data structures
The organization of and rules for the manipulation of data.
Genetic algorithms
A genetic algorithm is a search technique to find approximate solutions to optimization
and search problems.
[edit]
Programming languages and compilers
Compilers
Ways of translating computer programs, usually from higher level languages to lower
level ones. Based heavily on mathematical logic.
Programming languages
Formal language paradigms for expressing algorithms, and the properties of these
languages (EG: what problems they are suited to solve).
[edit]
Databases
Data mining
Study of algorithms for searching and processing information in documents and
databases; closely related to information retrieval.
[edit]](https://image.slidesharecdn.com/csprojectdoc694/85/cs-project-doc-2-320.jpg)
![Concurrent, parallel, and distributed systems
Concurrency
The theory and practice of simultaneous computation; data safety in any multitasking or
multithreaded environment.
Distributed computing
Computing using multiple computing devices over a network to accomplish a common
objective or task.
Networking
Algorithms and protocols for reliably communicating data across different shared or
dedicated media, often including error correction.
Parallel computing
Computing using multiple concurrent threads of execution.
[edit]
Computer architecture
Computer architecture
The design, organization, optimization and verification of a computer system, mostly
about CPUs and Memory subsystem (and the bus connecting them).
Operating systems
Systems for managing computer programs and providing the basis of a useable system.
[edit]
Software engineering
Computer programming
The act of writing algorithms in a programming language.
Formal methods
Mathematical approaches for describing and reasoning about software designs.
Software engineering
The principles and practice of designing, developing, and testing programs, as well as
proper engineering practices.
[edit]
Artificial intelligence
Artificial intelligence
The implementation and study of systems that exhibit an autonomous intelligence or
behaviour of their own.
Automated reasoning
Solving engines, such as used in Prolog, which produce steps to a result given a query
on a fact and rule database.
Robotics
Algorithms for controlling the behavior of robots.
Computer vision
Algorithms for identifying three dimensional objects from a two dimensional picture.
Machine Learning
Automated creation of a set of rules and axioms based on input.
[edit]
Computer graphics
Computer graphics
Algorithms both for generating visual images synthetically, and for integrating or altering](https://image.slidesharecdn.com/csprojectdoc694/85/cs-project-doc-3-320.jpg)
![visual and spatial information sampled from the real world.
Image processing
Determining information from an image through computation.
Human computer interaction
The study and design of computer interfaces that people use.
[edit]
Scientific computing
Bioinformatics
The use of computer science to maintain, analyse, store biological data and to assist in
solving biological problems such as protein folding.](https://image.slidesharecdn.com/csprojectdoc694/85/cs-project-doc-4-320.jpg)
cs-project.doc
- 1. Linux Inofrmation project Computer science is the study of the storage, transformation and transfer of information. The field encompasses both the theoretical study of algorithms (including their design, efficiency and application) and the practical problems involved in implementing them in terms of computer software and hardware. Definitions of Computer Science on the Web: • The systematic study of computing systems and computation. The body of knowledge resulting from this discipline contains theories for understanding computing systems and methods; design methodology, algorithms, and tools; methods for the testing of concepts; methods of analysis and verification; and knowledge representation and implementation. www.nitrd.gov/pubs/bluebooks/1995/section.5.html • (G5) Computing science www.planning.ed.ac.uk/Pub/Documents/HESA_Definitions/he_planning_plus_2003.htm • New developments in software or hardware, information systems, computer systems organization, computer methodologies, data (including structures, encryption, coding and information theory), etc. BACK www.pnm.com/sciencefair/choosea.htm • Organizations that conduct research in the area of science that addresses the study of data and information storage and processing systems including hardware, software, basic design principles, user requirements analysis and related economic and policy issues. nccs2.urban.org/ntee-cc/u.htm • The study of computation; the discipline that is concerned with the methods and techniques related to data processing performed by automatic means. www.cs.wpi.edu/~gpollice/cs562-s03/ExamDefinitions.html • the branch of engineering science that studies (with the aid of computers) computable processes and structures wordnet.princeton.edu/perl/webwn • Computer science (academically, CS, CSC or compsci) encompasses a variety of topics that relates to computation, like abstract analysis of algorithms, formal grammars, and subjects such as programming languages, program design, software and computer hardware. ... en.wikipedia.org/wiki/Computer_science Computer science is the study of the theoretical foundations of information and computation and their implementation and application in computer systems.[1][2][3] Many diverse fields exist within the broader discipline of computer science; some emphasize the computation of specific results (such as computer graphics), while others (such as computational complexity theory) relate to properties of computational problems. Still others focus on the challenges in implementing computations. For example, programming language theory studies approaches to describing a computation, while computer programming applies specific programming languages to craft a solution to some concrete computational problem. Fields of computer science http://en.wikipedia.org/wiki/Image:Wiki_letter_w.pngThis section is a stub. You can help
- 2. by adding to it. [edit] Mathematical foundations Cryptography Algorithms for protecting private data, including encryption. Graph theory Foundations for data structures and searching algorithms. Mathematical logic Boolean logic and other ways of modeling logical queries. Type Theory Formal analysis of the types of data, and the use of these types to understand properties of programs -- especially program safety. [edit] Theory of computation Main article: Theory of computation Automata theory Different logical structures for solving problems. Computability theory What is calculable with the current models of computers. Proofs developed by Alan Turing and others provide insight into the possibilities of what may be computed and what may not. Computational complexity theory Fundamental bounds (especially time and storage space) on classes of computations. [edit] Algorithms and data structures Analysis of algorithms Time and space complexity of algorithms. Algorithms Formal logical processes used for computation, and the efficiency of these processes. Data structures The organization of and rules for the manipulation of data. Genetic algorithms A genetic algorithm is a search technique to find approximate solutions to optimization and search problems. [edit] Programming languages and compilers Compilers Ways of translating computer programs, usually from higher level languages to lower level ones. Based heavily on mathematical logic. Programming languages Formal language paradigms for expressing algorithms, and the properties of these languages (EG: what problems they are suited to solve). [edit] Databases Data mining Study of algorithms for searching and processing information in documents and databases; closely related to information retrieval. [edit]
- 3. Concurrent, parallel, and distributed systems Concurrency The theory and practice of simultaneous computation; data safety in any multitasking or multithreaded environment. Distributed computing Computing using multiple computing devices over a network to accomplish a common objective or task. Networking Algorithms and protocols for reliably communicating data across different shared or dedicated media, often including error correction. Parallel computing Computing using multiple concurrent threads of execution. [edit] Computer architecture Computer architecture The design, organization, optimization and verification of a computer system, mostly about CPUs and Memory subsystem (and the bus connecting them). Operating systems Systems for managing computer programs and providing the basis of a useable system. [edit] Software engineering Computer programming The act of writing algorithms in a programming language. Formal methods Mathematical approaches for describing and reasoning about software designs. Software engineering The principles and practice of designing, developing, and testing programs, as well as proper engineering practices. [edit] Artificial intelligence Artificial intelligence The implementation and study of systems that exhibit an autonomous intelligence or behaviour of their own. Automated reasoning Solving engines, such as used in Prolog, which produce steps to a result given a query on a fact and rule database. Robotics Algorithms for controlling the behavior of robots. Computer vision Algorithms for identifying three dimensional objects from a two dimensional picture. Machine Learning Automated creation of a set of rules and axioms based on input. [edit] Computer graphics Computer graphics Algorithms both for generating visual images synthetically, and for integrating or altering
- 4. visual and spatial information sampled from the real world. Image processing Determining information from an image through computation. Human computer interaction The study and design of computer interfaces that people use. [edit] Scientific computing Bioinformatics The use of computer science to maintain, analyse, store biological data and to assist in solving biological problems such as protein folding.