IT Project (GAINBAN-INFOPROJ-1)

Basic data
Name and type of the study programme
Computer Science Engineering, undergraduate program
Curriculum
2022
Classes / consultation hours
0 + 0 + 1 (L+S+Labs)
Credits
5 credits
Theory – Practice
Theory: 0%, Practice: 100%
Recommended semester
Semester 6
Study mode
full-time
Prerequisites
120 kredit
Evaluation type
Mid-term evaluation
Course category
Compulsory
Language
English
Instructors
Responsible instructor
Dr. Bolla Kálmán Milán
Responsible department
Department of Information Technologies
Instructor(s)
Tóth László
Checked by
Kovács Márk
Course objectives

According to the topic of the project assigned by the lecturer of the course, the project is to be completed in consultation with the lecturer throughout the semester.

Course content
Labs

According to the topic of the project assigned by the lecturer of the course, the project is to be completed in consultation with the lecturer throughout the semester.

Acquired competences
Knowledge

- His/her English language skills will be sufficient for the level of training, and to understand English-language literature, to process professional texts, to carry out professional tasks, as well as for continuous professional development. - He knows the vocabulary and special terms of the engineering profession in the Hungarian and English languages at least on the basic level.

Skills

- He/she uses the principles and methods of natural sciences (mathematics, physics, other natural sciences) relevant to the field of information technology in his/her engineering work for the design of information systems. - He/she constantly improves his/her knowledge and keeps up with the development of the computer engineering profession.

Attitude

- He/she genuinely represents the professional principles of engineering and information technology fields. - 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. - He/she reveals the weaknesses of the technologies applied, risks of processes and initiates measures which reduce them.

Requirements, evaluation and grading
Mid-term study requirements

At the end of the semester, the lecturer of the course evaluates the presented project in the form of a practical mark.

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

Supporting material on Neptun MeetStreet related to the topic of the project, as indicated by the instructor.

Readings
Compulsory readings

Literature related to the topic of the project, as indicated by the teacher.

Recommended readings

Literature related to the topic of the project, as indicated by the teacher.