Difference between revisions of "Computer science"
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'''Computer science''' is the scientific and practical approach to [[Computing|computation]] and its applications. | '''Computer science''' is the scientific and practical approach to [[Computing|computation]] and its applications. | ||
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| + | See [[Outline of computer science]] for an introduction to key topics. | ||
== Description == | == Description == | ||
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* [[Normal form (abstract rewriting)]] | * [[Normal form (abstract rewriting)]] | ||
* [[NP-completeness]] | * [[NP-completeness]] | ||
| + | * [[Outline of computer science]] | ||
* [[Parallel computation with molecular-motor-propelled agents in nanofabricated networks]] | * [[Parallel computation with molecular-motor-propelled agents in nanofabricated networks]] | ||
* [[Parsing]] | * [[Parsing]] | ||
Revision as of 11:09, 15 March 2016
Computer science is the scientific and practical approach to computation and its applications.
See Outline of computer science for an introduction to key topics.
Contents
Description
Computer science is the systematic study of the feasibility, structure, expression, and mechanization of the methodical procedures (or algorithms) that underlie the acquisition, representation, processing, storage, communication of, and access to information
Information may be encoded in a wide range of media:
- Bits in computer memory
- Genes and protein structures in a biological cell
- Etc.
Automated algorithms that scale
An alternate, more succinct definition of computer science is the study of automating algorithmic processes that scale.
Computer scientist
A computer scientist specializes in the theory of computation and the design of computational systems.
See also
- Abstract data type
- Abstract machine
- Abstraction (computer science)
- Abstract syntax
- Abstract syntax tree
- Advice (complexity)
- Advice (programming)
- Ajax (programming)
- Artificial neural network
- Backus–Naur Form
- Bit
- Canonical form
- Chaos theory
- Character (computing)
- Checksum
- Computation
- Computer
- Computer program
- Computer programming
- Computing
- Constant (computer programming)
- Control flow
- Data (computing)
- Database
- Database normalization
- Data structure
- Data type
- Data validation
- Distributed computing
- Dijkstra, Edsger Wybe
- Document classification
- Expression (computer science)
- Expression (mathematics)
- Finite-state machine
- Frame problem
- Graph theory
- Idempotence
- Identifier
- Information
- Information architecture
- Information theory
- Input (computing)
- Intermediate language
- Lambda calculus
- Lazy evaluation
- Lexical analysis
- Linked list
- Lint (software)
- localhost
- Local variable
- Logic in computer science
- Logic programming
- Login session
- Modeling language
- Model-view-controller
- Non-deterministic Turing machine
- Non-strict programming language
- Normal form (abstract rewriting)
- NP-completeness
- Outline of computer science
- Parallel computation with molecular-motor-propelled agents in nanofabricated networks
- Parsing
- Power of two
- Probabilistic Turing machine
- Programming language
- Programming language theory
- Random access
- Recursion
- Recursive definition
- Relational database
- Remote procedure call
- Rewriting
- Round-off error
- Scalability
- Sequence
- Session (computer science)
- Software engineering
- State (computer science)
- Stateless protocol
- Statement (computer science)
- Strict programming language
- Turing completeness
- Turing machine
- Universal Turing machine
- Value (computer science)
- Van Wijngaarden grammar
- Vulnerability (computing)
- Zero-based numbering
External links
- Computer science @ Wikipedia
