Theory: %

Practice: 100 %

Recommended semester: 3

Study mode: full-time

Prerequisites: -

Course category: compulsory

Language: english

Responsible instructor: Dr. Pap-Szigeti Róbert

Responsible department: Department of Information Technologies

Instructor(s): Sári Bence

Course objectives:
Developing of knowledge, abilities, skills and competencies necessary for effective participation in the university education process and the successful practice of the profession.

Course content - seminars:

Weeks 1-2: Self-Awareness Develop a deeper understanding of personal strengths, weaknesses, and emotional intelligence. Weeks 3-5: Communication Techniques Learn effective verbal, non-verbal, and written communication techniques and active listening skills. Weeks 6-8: Teamwork and Basics of Project Management Enhance teamwork skills and understand the fundamentals of project management. Weeks 9-10: Job Search Methods Explore various job search strategies and techniques to find suitable employment opportunities. Week 11: Creating a Resume Learn how to create a professional and compelling resume that highlights your skills and experiences. Weeks 12-13: Preparing for a Job Interview Prepare for job interviews by practicing common questions, body language, and interview etiquette.

Acquired competences:
Knowledge:

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. - He/she understands and embraces the ethical principles and legal implications of his/her profession. - He/she makes an effort to work efficiently and to high standards.

Autonomy and responsibilities:

- He/she feels responsible for IT systems analysis, development and operation, both individually and as part of a team.

Additional professional competences:

- Knowledge of the labour market consequences of structural changes of digitalisation and automation in production, supply chain, and in the organisation of production processes

Requirements, evaluation, grading:
Mid-term study requirements:
Active participation in lessons, solving of assigned tasks.
Exam requirements:

Generative AI usage:

3rd position: The use of GAI tools is permitted when solving tasks, and no declaration about their use is mandatory. This means that GAI tools can be used when creating or solving formative or summative assessment elements, and no declaration about their use is mandatory.

Study aids, laboratory background:

Practical aids are uploaded to Teams.

Compulsory readings:

[1] Barbara Oakley: Learning to Learn. Oakland University, Rochester, MI 48309. https://www.oakland.edu/Assets/upload/docs/UG-Education/Retention_Conference/Retention_Presenations/2014_Ret_Conf_Presentations/03_Learn_to_Learn.pdf

Recommended readings:

[1] TRAVIS BRADBERRY & JEAN GREAVES: Emotional Intelligence 2.0, San Diego, ISBN: 978-0-9743206-2-5. http://fop86.com/Emotional%20Intelligence%202.0/EmotionalIntelligence.pdf [2] Kathy Schwalbe: An Introduction to Project Management, Seventh Edition: Predictive, Agile, and Hybrid Approaches. ISBN: 979-8695713459 https://www.amazon.com/Introduction-Project-Management-Seventh-Predictive/dp/B09F16LTVV