Computer science

Expression for Church numerals in lambda calculus Plot of a quicksort algorithm
Example of Computer animation produced using Motion capture Half-adder circuit
Computer science deals with the theoretical foundations of information, algorithms and the architectures of its computation as well as practical techniques for their application.

Computer science is the study of algorithmic processes, computational machines and computation itself.[1] As a discipline, computer science spans a range of topics from theoretical studies of algorithms, computation and information to the practical issues of implementing computational systems in hardware and software.[2][3]

Its fields can be divided into theoretical and practical disciplines. For example, the theory of computation concerns abstract models of computation and general classes of problems that can be solved using them, while computer graphics or computational geometry emphasize more specific applications. Algorithms and data structures have been called the heart of computer science.[4] Programming language theory considers approaches to the description of computational processes, while computer programming involves the use of them to create complex systems. Computer architecture describes construction of computer components and computer-operated equipment. Artificial intelligence aims to synthesize goal-orientated processes such as problem-solving, decision-making, environmental adaptation, planning and learning found in humans and animals. A digital computer is capable of simulating various information processes.[5] The fundamental concern of computer science is determining what can and cannot be automated.[6] Computer scientists usually focus on academic research. The Turing Award is generally recognized as the highest distinction in computer sciences.

  1. ^ "What is Computer Science? - Computer Science.The University of York". Retrieved June 11, 2020.
  2. ^ "WordNet Search—3.1". Retrieved May 14, 2012.
  3. ^ "Definition of computer science |". Retrieved June 11, 2020.
  4. ^ Harel, David. (2014). Algorithmics The Spirit of Computing. Springer Berlin. ISBN 978-3-642-44135-6. OCLC 876384882.
  5. ^ "COMPUTER SCIENCE: THE DISCIPLINE" (PDF). May 25, 2006. Archived (PDF) from the original on May 25, 2006. Retrieved January 4, 2021.
  6. ^ The MIT Press. "What Can Be Automated? Computer Science and Engineering Research Study | The MIT Press".