–
Measuring of Competence (input) (GAGEBAN-KOMPMBEM-1)
Basic data
Name and type of the study programme
Mechanical Engineering, undergraduate program
Curriculum
2025
Classes / consultation hours
0 + 0 + 1 (L+S+Labs)
Credits
0 credits
Theory – Practice
Theory: 0%, Practice: 100%
Recommended semester
Semester 1
Study mode
full-time
Prerequisites
–
Evaluation type
Obtaining a signature
Course category
Compulsory
Language
English
Instructors
Responsible instructor
Dr. Török Erika
Responsible department
Department of Information Technologies
Instructor(s)
Koszna Ferenc
Checked by
Dr. Líska János
Course objectives
Course content
Labs
–
Acquired competences
Knowledge
–
Skills
–
Attitude
–
Autonomy and responsibilities
–
Requirements, evaluation and grading
Mid-term study requirements
Measured areas of competence: Communicative competence (text comprehension, text production), cognitive competence (numeracy and mathematical problem solving, thinking skills, memory), social competence (metacommunication), personal competence (some areas of self-evaluation).
Generative AI usage
1st position: Use of GAI tools is not permitted for solving assignments. This means GAI tools cannot be used to complete formative or summative assessments, and using GAI constitutes academic misconduct. The use of AI tools for spelling and grammar checking does not fall under this prohibition.
Study aids, laboratory background
–
Readings
Compulsory readings
–
Recommended readings
–