Academic year/semester: 2024/25/1

ECTS Credits: 6

Available for: All OU students

Lecture hours: 1
Seminarium:0
Practice: 2
Laboratory: 0
Consultation: as required

Prerequisites: none

Course Leader: Dr. Károly Bretz

Faculty: Kandó Kálmán Faculty of Electrical Engineering, 1084 Budapest, Tavaszmező utca 17.

Course Description:
The aim of this course is to provide a comprehensive knowledge and a professional basis in the field of computer science and programming, in order to
algorithms and solving problems with algorithms. The subject covers modern
The course covers the architecture of modern computers and computer networks, software development trends and methods,
computer architectures, operating systems functions.

Competences:

Topics:
1. Concepts of bits and bytes, number notation, number systems. Numbering in different number systems.
2. Binary representation and storage of floating point numbers in the computer. BOOLE (logical) algebra basics, rules, AND, OR, NOT operations, bit operations, masking.
3. Algorithm theory. Algorithm concepts, algorithm description tools (instructions, branching, front-end test loop, back-end test loop), solution strategies, task decomposition.
4. Simple algorithms, methods of description. Flowchart, structure diagram. Basics of block based programming.
5. Complex algorithms, ordering algorithms (bubble and box ordering).
Classification and architecture of computers.
6. HW, SW. Concept of computer network. Classification of computer networks. Network operating systems and their characteristics.
7. Basic concepts of software. Software categories. Software as a critical success factor
8. Basic concepts of software. Software categories. Software as a critical success factor .
9. Classification of software. Operating systems. Office systems. Database systems.
10. Models, relational, hierarchical, mesh, etc. . CAE systems. Software life cycle.
11. Models, relational, hierarchical, mesh, etc. . CAE systems. Software life cycle. Life cycle models, advantages disadvantages.
12. Measuring software quality. Embedded systems. Integrated IT systems.

Assessment:

Exam Types:

Compulsory bibliography: Aids issued by the trainers.

Recommended bibliography:

Additional bibliography:

Additional Information: