Szczecin, Poland

Computer Science

Informatyka

Master's
Table of contents
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Computer Science at PM

Language: PolishStudies in Polish
Subject area: computer science
Kind of studies: full-time studies, part-time studies
  • Description:

  • pl
University website: www.pm.szczecin.pl/en

Test: check whether Computer Science is the right major for you!

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Answer all questions to see if Computer Science (Master's) is the right fit for you!

1. Do you want to deepen your knowledge of algorithms, data structures, and computational theory?

2. Are you interested in advanced software engineering, system design, and building scalable systems?

3. Do you want to specialize in areas like artificial intelligence, machine learning, or data science?

4. Are you willing to engage in research or complex project work involving distributed systems, cybersecurity, or human-computer interaction?

5. Do you believe that a two-year master’s degree will significantly elevate your ability to contribute to cutting-edge computing solutions?

6. Are you interested in leveraging computing for interdisciplinary applications (e.g., bioinformatics, computational physics, smart cities)?

7. Do you want to develop strong skills in software performance, optimization, and reliable system evaluation?

8. Are you prepared to collaborate with researchers, engineers, and domain experts to integrate computing solutions?

9. Are you interested in ethical, security, and societal implications of computing (e.g., privacy, bias, AI governance)?

10. What motivates you most to pursue a master’s in Computer Science?

Definitions and quotes

Computer
A computer is a device that can be instructed to carry out sequences of arithmetic or logical operations automatically via computer programming. Modern computers have the ability to follow generalized sets of operations, called programs. These programs enable computers to perform an extremely wide range of tasks.
Computer Science
Computer science is the study of the theory, experimentation, and engineering that form the basis for the design and use of computers. It is the scientific and practical approach to computation and its applications and 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. An alternate, more succinct definition of computer science is the study of automating algorithmic processes that scale. A computer scientist specializes in the theory of computation and the design of computational systems. See glossary of computer science.
Science
Science (from Latin scientia, meaning "knowledge") is a systematic enterprise that builds and organizes knowledge in the form of testable explanations and predictions about the universe.
Science
We say that the string is 'random' if there is no other representation of the string which is shorter than itself. But we will say that it is 'non-random' if there does exist such an abbreviated representation. ... In general, the shorter the possible representation... the less random... On this view we recognize science to be the search for algorithmic compressions. ... It is simplest to think of mathematics as the catalogue of all possible patterns. ... When viewed in this way, it is inevitable that the world is described by mathematics. ...In many ways the search for a Theory of Everything is a manifestation of a faith that this compression goes all the way down to the bedrock of reality...
John D. Barrow, New Theories of Everything (2007).
Science
Those (natural) laws cannot be circumvented by any amount of piety or cleverness, but they can be understood. Uncovering them should be the highest goal of a civilized society. Not, as we have seen, because scientists have any claim to greater intellect or virtue, but because the scientific method transcends the flaws of individual scientists. Science is the only way we have of separating the truth from ideology, or fraud, or mere foolishness.
Robert L. Park, Voodoo Science (2000), p. 211
Computer Science
Computer science is neither mathematics nor electrical engineering
Alan Perlis (1968) title of article "Computer Science is neither Mathematics nor Electrical Engineering" in: A. Finerman (Hg.), University Education in Computing Science, New York, London, pp. 69-77
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