Warsaw, Poland

Computer Science

Informatyka

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

  • pl
Bachelor study program is worked out in such a way that after each year students obtain specific competences, enabling them to perform increasingly multi-faceted IT jobs. First year of study is devoted mainly to essential fundamentals of mathematics as well as computer building (computer organization and architecture, fundamentals of logic circuits). Students become familiar with legal and economic bases for the business activity and philosophy. Students obtain basic education and acquire skills in programming in C language, knowledge of MS Office applications, including the ability of programming in VBA.

Second year of study covers additional mathematics and IT courses, including knowledge of databases and operating systems and the ability of advanced programming and basic programming in the Internet.

On the third year students become well acquainted with computer network issues, including security and programming networks, as well as expand knowledge in the chosen specialty. The fourth year of Bachelor studies, which lasts only one semester in full-time system, is intended to extend the knowledge in selected specialized areas and to introduce basic issues of artificial intelligence. Students prepare their theses. Professionally oriented Bachelor of Science degree is aimed at creating the IT engineer-specialist who is self-reliant in running the project without long-lasting additional training. It is also intended to provide graduates with solid theoretical basis which enable further training on their own.
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.
Computer Science
Computer science research is different from these more traditional disciplines. Philosophically it differs from the physical sciences because it seeks not to discover, explain, or exploit the natural world, but instead to study the properties of machines of human creation. In this it is analogous to mathematics, and indeed the "science" part of computer science is, for the most part mathematical in spirit. But an inevitable aspect of computer science is the creation of computer programs: objects that, though intangible, are subject to commercial exchange.
Dennis Ritchie (1984) Reflections on Software Research.
Science
The men in the laboratory... cannot be said to observe the actual objects of their curiosity at all. ...The sense data on which the propositions of modern science rest are, for the most part, little photographic spots and blurs, or inky curved lines on paper. ... What is directly observable is only a sign of the "physical fact"; it requires interpretation to yield scientific propositions.
Susanne Langer, Philosophy in a New Key (1942)
Computer Science
Any problem in computer science can be solved with another level of indirection.
David Wheeler (Attributed in: Butler Lampson. Principles for Computer System Design. Turing Award Lecture. February 17, 1993.) Wheeler is said to have added the appendage "Except for the problem of too many layers of indirection."

Contact:

Newelska str. 6
01-447 Warsaw
tel. (+48 22) 348 65 44
Privacy Policy