How is philosophy used in computer science?
Computer Science teaches you how to program, to design processes that are effective and efficient, to reason logically and formally. Philosophy teaches you how to analyse complex concepts and the interconnections between them and – crucially – how to express such analysis, elegantly and precisely, in written form.
What are the theories of computer science?
The research group in theoretical computer science works in many core theory areas that include computational geometry, computational topology, computational learning theory, metric embedding and geometry, graph algorithms, cryptography and security, and recursive function theory.
What are the key topics computer science?
Any student of computer science should be familiar with a range of topics such as computability, algorithms, computational complexity, computer design, programming language design, programming methodology, data structures, information retrieval, parallel and distributed computing, computer networks, cyber security and
Can I double major in computer science and philosophy?
A dual degree in Computer Science and Philosophy offers students the opportunity to complement their technical expertise with the writing and communication skills cultivated by studying philosophy and coveted by the job market; and to complement your conceptual creativity with the practical experience of learning and
Why is philosophy important in computer science?
Computer science and philosophy share a foundation rooted in logical reasoning. While computer scientists and programmers use a mathematical and symbolic form of logic to build hardware and software products, philosophy uses words to logically examine ideas and concepts.
Why is theory important in computer science?
At this stage the theory is critical. in order to design a good solution when dealing with complex systems is very important to know how the memory management works, the concepts of process and threads, how memory is assigned to them, or efficient data structures for performance and so on.
What is the best research topics for computer science now a days?
Hot topics include 1) Data Warehousing, 2) Internet of Things (IoT), 3) Big data, 4) cloud computing, 5) semantic web, 6) MANET, 7) machine learning, 8) Artificial Intelligence, 9) data mining, 10) image processing, 11) bioinformatics, 12) quantum computing, and so on. Role of human-computer interaction.
How do I find a research topic in computer science?
First ,one must be specific in choosing what area in computer science to work on. second , it is better to choose topic which might cover real life problem in computer applications. Third, it is worth to choose subjects which have as much as possible references and previous work.
How many topics are there in computer science?
Computer science is considered as part of a family of five separate yet interrelated disciplines: computer engineering, computer science, information systems, information technology, and software engineering. This family has come to be known collectively as the discipline of computing.
What is computer science according to the philosophical introduction to the disciplinary history of computer science?
Computer science is the systematic study of automated computation. Computer science became a discipline in the late 1950s and early 1960s. The field grew out of the efforts of electrical engineers and mathematicians to build devices capable of automated mechanical computation.
How is philosophy related to engineering?
The philosophy of engineering is an emerging discipline that considers what engineering is, what engineers do, and how their work affects society, and thus includes aspects of ethics and aesthetics, as well as the ontology, epistemology, etc.
What are branches of philosophy?
The four main branches of philosophy are metaphysics, epistemology, axiology, and logic.
What is an algorithm in philosophy?
Abstract. The algorithm, a building block of computer science, is defined from an intuitive and pragmatic point of view, through a methodological lens of philosophy rather than that of formal computation.
What is epistemology in computer science?
Computational epistemology is a subdiscipline of formal epistemology that studies the intrinsic complexity of inductive problems for ideal and computationally bounded agents. In short, computational epistemology is to induction what recursion theory is to deduction.
What are the 3 branches of the theory of computation?
In theoretical computer science, the theory of computation is the branch that deals with whether and how efficiently problems can be solved on a model of computation, using an algorithm. The field is divided into three major branches: automata theory, computability theory and computational complexity theory.
Why is finite automata important in computer science?
The work on finite automata is an important part of theoretical computer science. It is part of a very useful hierarchy to classify computational power of different models.
What are the basics of theory of computation?
Theory of computation (TOC) is a branch of Computer Science that is concerned with how problems can be solved using algorithms and how efficiently they can be solved. Real-world computers perform computations that by nature run like mathematical models to solve problems in systematic ways.
What is Alan Turing machine?
Turing machines, first described by Alan Turing in Turing 1936–7, are simple abstract computational devices intended to help investigate the extent and limitations of what can be computed. Turing’s ‘automatic machines’, as he termed them in 1936, were specifically devised for the computing of real numbers.
Who cracked Enigma?
mathematician Alan Turing
British mathematician Alan Turing, who helped crack Nazi Germany’s ‘Enigma’ code and laid the groundwork for modern computing, was pardoned on Tuesday, six decades after his conviction for homosexuality is said to have driven him to suicide.
Who broke the Enigma code first?
The Enigma code was first broken by the Poles, under the leadership of mathematician Marian Rejewski, in the early 1930s. In 1939, with the growing likelihood of a German invasion, the Poles turned their information over to the British, who set up a secret code-breaking group known as Ultra, under mathematician Alan M.