Course title, code: Economics, GAGEBAL-KOZGGAZD-1

Name and type of the study programme: Computer science engineering, BSc
Curriculum: 2021
Number of semester consultation hours: 8
Credits: 4
Theory: 0 %
Practice: 0 %
Recommended semester: 3
Study mode: correspondence
Prerequisites: nincs
Evaluation type: exam
Course category:
Language: english
Responsible instructor: Dr. Huff Endre
Responsible department: Department of Information Technologies
Instructor(s):
Course objectives:
Students will learn the basic concepts, methods of analysis and key theoretical results of modern economics, including microeconomics and macroeconomics, and apply this knowledge to the analysis of practical problems. The results of economics should serve as a basis for training in the ability to adapt to the modern market economy, to make rational decisions, to understand market relations and to use modern methodological knowledge in the field.
Course content:

Acquired competences:
Knowledge:

Comprehensive knowledge of basic economic, business and legal rules and tools.

Skills:

Ability to plan, organise and carry out independent learning in the topics of economics.

Attitude:

They strive to solve their tasks and make management decisions by listening to the opinions of their colleagues, preferably in cooperation.

Autonomy and responsibilities:

In carrying out his/her professional duties, he/she will also cooperate with qualified professionals in other fields (primarily technical, economic and legal).

Additional professional competences:


Requirements, evaluation, grading:
Mid-term study requirements:

Exam requirements:

A minimum of 50% completion of two final papers in the semester. You can achieve 50-50 points with the exams. If the combined score of the two exams reaches the good or excellent mark threshold, a good or excellent mark may be offered.

Study aids, laboratory background:

Compulsory and recommended literature.

Compulsory readings:

Samuelson, P.A. – Nordhaus, W.D. (2012): Közgazdaságtan. Akadémia Kiadó, Budapest. (ISBN: 978 963 05 9160 7)

Recommended readings: