Course title, code: Soft Skillls, GAINBAN-TRANSZIS-1

Name and type of the study programme: Computer science engineering, BSc
Curriculum: 2021
Number of classes per week (lectures+seminars+labs): 0+1+0
Credits: 1
Theory: %
Practice: 100 %
Recommended semester: 3
Study mode: full-time
Prerequisites: -
Evaluation type: term mark
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:

Study aids, laboratory background:

Practical aids are uploaded to Teams.

Compulsory readings:

Recommended 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 [2] 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 [3] 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