ZURn6511 Lab: Use of AI in journalism practice

Faculty of Social Studies
Autumn 2024
Extent and Intensity
0/0/2. 4 credit(s). Type of Completion: k (colloquium).
In-person direct teaching
Teacher(s)
Mgr. Jaroslav Čuřík, Ph.D. (seminar tutor)
Guaranteed by
Mgr. Jaroslav Čuřík, Ph.D.
Department of Media Studies and Journalism – Faculty of Social Studies
Contact Person: Mgr. Boris Rafailov, Ph.D.
Supplier department: Department of Media Studies and Journalism – Faculty of Social Studies
Timetable
Thu 16:00–17:40 Studio 527
Prerequisites
TYP_STUDIA(MN)
The course is taught only in the Czech language and therefore assumes a good knowledge of this language at least at B2 level.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 10 student(s).
Current registration and enrolment status: enrolled: 7/10, only registered: 0/10
fields of study / plans the course is directly associated with
Course objectives
In a practically oriented course, students use experiments to explore the possibilities and limits of using artificial intelligence in journalism. The output will be a manual that can be used in the Bachelor's course Practical medium.
Learning outcomes
The student will have direct experience with the use of artificial intelligence in journalism and with the creation of practical editorial manuals.
Syllabus
  • 1. Introduction to the issue. 2. Practical experimental investigation of the possibilities of AI in journalism. 3. Creating a manual. 4. Final discussion.
Literature
  • Due to its practical experimental nature, literature is not assigned to the course.
  • K předmětu není vzhledem k jeho praktické experimentální povaze přiřazena literatura.
Teaching methods
Experiment, practicum, consultation.
Assessment methods
Participation in consultations, colloquium.
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2023.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/fss/autumn2024/ZURn6511