Theory: %

Practice: 100 %

Recommended semester: 5

Study mode: full-time

Prerequisites:

Evaluation type: term mark

Course category:

Language: english

Responsible instructor: Prof. Dr. Johanyák Zsolt Csaba

Responsible department: Department of Information Technologies

Instructor(s): Prof. Dr. Johanyák Zsolt Csaba, - nincs

Course objectives:
The aim of the subject is to enhance the team work skills of students as well as to deepen and broaden the understanding of IT methods and technologies.

Course content - seminars:

Students work on a complex problem. Typical assignments are related to software development or network configuration problems depending on the specialization of the students.

Acquired competences:
Knowledge:

Skills:

Skills of rapid application development using the visual tools of Visual Studio and the C# language/Java language/Android depending on the project type.

Attitude:

Autonomy and responsibilities:

Additional professional competences:

Requirements, evaluation, grading:
Mid-term study requirements:
Students have to do a midterm presentation (6th week) about their progress, which counts 40% in their final score. Besides, they submit and present (11th week) a final report that counts 60%. The way they solved the assignment and the quality of the documentation also count at the final evaluation.
Exam requirements:

Generative AI usage:

Not specified

Study aids, laboratory background:

The recommended literature, the notes of lectures, the programs written in laboratory classes, the help of the development environment. Each student works at an individual workstation. All the used software are available in the computer laboratory.

Compulsory readings:

Readings are recommended by the instructor dependent on the assignment.

Recommended readings: