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

Name and type of the study programme: Computer science engineering, BSc
Curriculum: 2023
Number of classes per week (lectures+seminars+labs): 1+1+0
Credits: 4
Theory: 50 %
Practice: 50 %
Recommended semester: 3
Study mode: full-time
Prerequisites:
Evaluation type: exam
Course category: compulsory
Language: english
Responsible instructor: - nincs
Responsible department: Department of Basic Sciences
Instructor(s): Dr. Trautmann László, - nincs
Course objectives:
The aim is to introduce students to the fundamental problems of economics, its operation, micro- and macroeconomics, the economic context of technical life.
Course content - lectures:

Economics as an empirical science. Economic problems of technical life. Basics of Finance - Microeconomics. The operation, actors and peculiarities of the market economy. Macroeconomics. Measuring economic performance. Operation and peculiarities of macro markets.


Course content - seminars:


Acquired competences:
Knowledge:


Skills:


Attitude:


Autonomy and responsibilities:


Additional professional competences:

tudents gain knowledge of economics through problem analysis. Students will be able to identify and deal with economic (technical-economic) problems. Students strive to mobilize their knowledge in the course of their work. Students have sufficient responsibility to deal with economic (technical-economic) problems.

Requirements, evaluation, grading:
Mid-term study requirements:
A. Economic accounting tasks B. Answering an economic theory question
Exam requirements:

Generative AI usage:

Not specified

Study aids, laboratory background:

Compulsory readings:

Recommended readings:

Paul A. Samuelson & William D. Nordhaus (2010): Economics. Mcgraw-Hill Irwin. ISBN(s): 978-0-07-351129-0