Management (GAINBAN-MENEDZSM-1)

Basic data
Name and type of the study programme
Computer Science Engineering, undergraduate program
Curriculum
2026
Classes / consultation hours
2 + 1 + 0 (L+S+Labs)
Credits
4 credits
Theory – Practice
Theory: 67%, Practice: 33%
Recommended semester
Semester 3
Study mode
full-time
Prerequisites
-
Evaluation type
Colloquium
Course category
Compulsory
Language
English
Instructors
Responsible instructor
Dr. Tóth József
Responsible department
Department of Basic Sciences
Instructor(s)
Dr. Líska Katalin
Checked by
Kovács Márk
Course objectives

The students should learn the characteristics and relationships of the operation of market organizations. They know the groups of internal and external factors affecting corporate performance, the structure of organizations and the main strategies. Management as a field of study encompasses many topics to equip students with the skills and knowledge required to lead and manage organizations effectively.

Course content
Lectures

1. Introduction to management. 2. The concept of management. Modern theories of management. 3. Managers and/or leaders. Managerial roles. 4. Managerials skills. Marketing management. 5. The 7P marketing principles 6. The group and the organization. 7. Closed room thesis 8. Corporate planning 9. Extra closed-room thesis 10. Types of planning 11. Decision-making in organizations. 12. Change management. 13. Consultation, summarization of mid-term scores

Seminars

During the exercises, the knowledge presented in the lecture is processed together - additional information provided on project development and management basics. During the practical couurses student will present professional presentations on the base of selected topic dealing with managing. Students will also solve team projects and present their results.

Acquired competences
Knowledge

Has knowledge of the basic, comprehensive concepts, theories, facts, national economic, and international connections of economics, regarding the relevant economic actors, functions, and processes. - He is aware of the basic principles and methods for the creation of organizations and institutions, their structure, and organizational behavior. - Knows and understands the principles and methods of management, organization and operation of management processes, the methodology of analysis of management processes, the methodological bases of decision preparation, and decision support. - Has basic management and organizational skills, as well as project and small and medium-sized enterprise start-up, start-up, and management knowledge. - Possesses the basic professional vocabulary of economics in his native language and at least one foreign language.

Skills

- He/she cooperates with other computer science engineers, electrical engineers during team work, and with other experts during the analysis and solution of a problems.

Attitude

- He/she makes decisions with full respect for the law and ethical standards in decision-making situations requiring a complex approach.

Autonomy and responsibilities

Under general professional supervision, independently performs and organizes the tasks specified in the job description. - Assumes responsibility for analyses, conclusions, and decisions. - Independently leads, organizes, and manages an organizational unit, workgroup, enterprise, or smaller economic organization in a business organization, assuming responsibility for the organization and its employees. - Organizes, manages, and controls economic activity in a business organization, in an economic job role according to his qualifications. - As a member of projects, group work, and organizational units, he carries out his assigned tasks independently and responsibly.

Additional professional competences

- Basic knowledge about promoting health and sustainable development which include the basics of environment, work safety and consumer protection

Requirements, evaluation and grading
Mid-term study requirements

During the semester, attending the practicals is mandatory according to the rules of the TVSZ. 1. There is 1 mid-term examination during the semester. The closed-room thesis must be completed to 50%. 2. Furthermore, the presentation of a short professional presentation (in ppt format) on the selected topic is mandatory. This can be accepted together with the preliminary preparation and uploading of a Powerpoint presentation. 3. Finally, every student is required to actively participate in the development and presentation of a group project. From these three parts, the student collects an individual mid-term score, based on which he can request an offered grade or continue to the exam. This score also has a value in the outcome of the exam. (the exam consists of a written and oral part). The student can receive an offered grade if the ZH successfully writes the written part on the first, announced occasion - and meets the other two conditions. (Those who have to write an additional ZH are no longer entitled to the offered grade.) An offered grade can be requested by a student who got 76 points or more during the semester (from mentioned three parts). The date of closed room thesis is 7th week of semester, date of extra closed-room thesis is 9th week of semester.

Exam requirements

Students have to present their project in PPT of Prezi format. Presentations have to be presented during semester. Concrete titles and dates of presentations we agree together in 2nd week. Students, without presentation can not pass the exam. Projectwork – students have to solve group tasks and projects during semester. One group task and one project have to be solved and presented by student.

Generative AI usage

Use of GAI tools is permitted in a limited manner (e.g., for literature search support or specific tools). In this case, the course instructor is responsible for defining where and how GAI tools may be used in assignments. The course description must specify in detail how GAI tools may be used during the course.

Study aids, laboratory background

MS Project Management Software Canva for design Infographics for data visualisation

Readings
Compulsory readings

1. G. A. Cole , Phil Kelly: Management Theory and Practice, Cengage Learning EMEA, 2020, ISBN 978-1473769724 2. Stephen P. Robbins, Mary A. Coulter: Management (5th Edition) Global Edition Prentice Hall, 2012, ISBN 9781292340883

Recommended readings

1. Michael E. Porter: Competitive Strategy: Techniques for Analyzing Industries and Competitors 2. Kenneth C. Laudon and Jane P. Laudon: Management Information Systems: Managing the Digital Firm 3. Jim Collins: Good to Great: Why Some Companies Make the Leap... and Others Don't 4. Peter Thiel with Blake Masters: Zero to One: Notes on Startups, or How to Build the Future.