The first four semesters of the
full-time programme (and the first six of the part-time programme) are
devoted to core instruction. At this stage, the student gains the
fundamental knowledge required of a bachelor-level graduate in computer
science. S/he is familiarised with issues such as basic database
techniques, principles of software development and computer network
development as well as applications of multimedia. Above all, the
candidate learns to program in key languages such as Java or C++. The
curriculum also includes core mathematics, electronics, accounting,
economics and law.
During the subsequent specialised
instruction, students choose a major (area of specialisation) in which
to further expand their knowledge and skills. Specialised classes are
customised for each major; examples include programming in languages
such as Prolog, ML, Assembler, C# or SQL. Furthermore, specialised
instruction aims to build up the student’s team-working skills through,
among others, implementation of specific projects.
Graduates receive the Engineer degree.
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 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 (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.
Indeed, one of my major complaints about the computer field is that whereas Newton could say, "If I have seen a little farther than others, it is because I have stood on the shoulders of giants," I am forced to say, "Today we stand on each other's feet." Perhaps the central problem we face in all of computer science is how we are to get to the situation where we build on top of the work of others rather than redoing so much of it in a trivially different way. Science is supposed to be cumulative, not almost endless duplication of the same kind of things.
Richard Hamming, 1968 Turing Award lecture, Journal of the ACM 16 (1), January 1969, p. 7
Today, when so much depends on our informed action, we as voters and taxpayers can no longer afford to confuse science and technology, to confound “pure” science and “applied” science.
Jacques-Yves Cousteau, in Jacques Cousteau and Susan Schiefelbein, The Human, the Orchid, and the Octopus: Exploring and Conserving Our Natural World (2007), 181.
Without real experience in using the computer to get useful results the computer science major is apt to know all about the marvelous tool except how to use it. Such a person is a mere technician, skilled in manipulating the tool but with little sense of how and when to use it for its basic purposes.
Richard Hamming, 1968 Turing Award lecture, Journal of the ACM 16 (1), January 1969, p. 6