1. Qualitative and quantitative research

2. Quantitative research methods

3. Qualitative research methods

4. Research design

5. Data acquisition methods in scientific research

6. Validity and reliability in scientific research

7. Research hypotheses and how to test them

8. Methods of data analysis in scientific research

9. Ethics of scientific research

10. Ways of presenting the results of scientific research

11. Algorithms of artificial intelligence systems

12. Machine learning

13. Principles of creating artificial intelligence models

14. Generative artificial intelligence

15. Economic aspects of artificial intelligence

16. The impact of artificial intelligence on society

17. Artificial intelligence legislative frameworks in the EU and worldwide

18. Ethical issues in the use of artificial intelligence

19. Historical developments in the field of artificial intelligence

20. Current challenges for the future of artificial intelligence

The state examination course Data and Artificial Intelligence will test the knowledge acquired

during the two years of study in the compulsory subjects (Research Methods and Applied Artificial

Intelligence) and the students' ability to clearly formulate and defend their arguments while making

meaningful connections between them in the broader mediamatic concepts. Students are advised to:

revisit the course texts, notes and other resources relevant to the subject area.

Slovak

Presentation of the thesis results;

Response to questions and comments of the supervisor and opponent;

Discussion of the thesis.

In order to pass the course, the student is required to submit the thesis to the AIS system by the deadline specified in the schedule for the current academic year. The thesis defence is part of the state examination.

The assessment of the course is based on:

- the supervisor's assessment,

- the opponent’s assessment,

- presentation of the results of the thesis in front of the state examination committee

- the student's response to the questions and comments of the supervisor and opponent

- discussions between the student and the members of the examination committee.

Grade for defence is awarded by state exam commitee.

Slovak

1. Models of electronic communication.

2. Models of interpersonal communication and mass media communication.

3. Principles of electronic communication: alternative media, citizen journalism, fake news.

4. Communication with AI and the use of AI in communication.

5. Digital media - characteristics, new media, language of new media.

6. Mc Luhan's theory of media.

7. Philosophical perspectives on the concept of information.

8. Floridi's categorization of information.

9. Shannon's theory of information.

10. Information and information science.

11. Digital ethics (basic theories).

12. Ethics of technology and the possibilities for evaluating AI.

13. Social media and freedom of speech.

14. Privacy and security.

15. AI and the good society.

The state examination course Information, Communication and Digital Media Theory will test the knowledge acquired during the two years of study in the compulsory subjects (Communication and Digital Media Theory and Information Theory and Digital Ethics) and the students' ability to clearly formulate and defend their arguments while making meaningful connections between them in the broader context of digital society. Students are advised to: revisit the course texts, notes and other resources relevant to the subject area.

Slovak