Study Guide

Objective

In the course, the student increases his/her knowledge and understanding of current topics in his/her field of study by participating in expert lectures, webinars, events, and seminars. At the study level, the student can choose the topics of interest and strengthen his/her expertise in the areas he/she chooses. A report will be made on the course and a short presentation will be prepared.

Content

Can be included in the course
- All lectures, seminars, events and webinars that fit the theme of the studies are accepted
- Participation in event arrangements, training presentations, seminar arrangements, open doors, etc. are also counted.
- Expert lectures include e.g. Relevant videos/lectures/presentations can be found on YouTube or other platforms
- The course can also include "mini/short courses", the duration of which is e.g. 1-20 hours
- The themes do not necessarily have to be directly related to data management, data analytics or artificial intelligence, but the topics can be indirectly related to the field of education: IoT, cyber security, business, blockchains, new technologies, AI application targets, etc.

Evaluation scale

0 - 5