AI-Assisted Application Development (GAINBAN-MESTINTA-1)

Basic data
Name and type of the study programme
Computer Science Engineering, undergraduate program
Curriculum
2026
Classes / consultation hours
2 + 0 + 2 (L+S+Labs)
Credits
5 credits
Theory – Practice
Theory: 50%, Practice: 50%
Recommended semester
Semester 6
Study mode
full-time
Prerequisites
Evaluation type
Mid-term evaluation
Course category
Compulsory elective in the specialization
Language
English
Instructors
Responsible instructor
Dr. Bolla Kálmán Milán
Responsible department
Department of Information Technologies
Instructor(s)
Checked by
Kovács Márk
Course objectives

–

Course content
Lectures

–

Labs

–

Acquired competences
Knowledge

–

Skills

–

Attitude

–

Autonomy and responsibilities

–

Requirements, evaluation and grading
Mid-term study requirements

–

Generative AI usage

Nem engedélyezett

Study aids, laboratory background

–

Readings
Compulsory readings

–

Recommended readings

–