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.
Science falsely so called.
I Timothy, VI. 20. Quotes reported in Hoyt's New Cyclopedia Of Practical Quotations (1922), p. 691-92
Alas! A scientific man ought to have no wishes, no affections — a mere heart of stone.
Charles Darwin, in a letter to T.H. Huxley, 9 July 1857, More Letters of Charles Darwin, Francis Darwin and A.C. Seward, editors (1903) volume I, chapter II: "Evolution, 1844-1858", page 98.
Too often, this concern for the big picture is simply obscurantist and is put forward by people who prefer vagueness and mystery to (partial) answers. Vagueness is at times necessary and mystery is never in short supply, but I don’t think they’re anything to worship. Genuine science and mathematical precision are more intriguing than are the “facts” published in supermarket tabloids or a romantic innumeracy which fosters credulity, stunts skepticism, and dulls one to real imponderables.
John Allen Paulos, Innumeracy: Mathematical Illiteracy and its Consequences (1988), pp. 126-127