IV132 LiVe Lab Seminar

Faculty of Informatics
Spring 2025
Extent and Intensity
0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
In-person direct teaching
Teacher(s)
prof. Dr. rer. nat. RNDr. Mgr. Bc. Jan Křetínský, Ph.D. (lecturer)
Guaranteed by
prof. Dr. rer. nat. RNDr. Mgr. Bc. Jan Křetínský, Ph.D.
Department of Computer Science – Faculty of Informatics
Supplier department: Department of Computer Science – Faculty of Informatics
Prerequisites
SOUHLAS
Applicants should be able to independently read a text in English and talk about it in English. Interest in mathematical, theoretical and AI topics is welcome. The enrolment must be approved.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 36 fields of study the course is directly associated with, display
Abstract
On successful completion of the course students
- will have practical experience with active research
- will be able to read and understand scientific papers
- will be able to employ gathered information to formulate and prove their own hypotheses within the relevant context
- will be able to present the research results in English.
Learning outcomes
After the course the student will be able:
- present the content of scientific papers in front of students and professionals;
- to contrast conceptual issues in analysed publications by employing suitable arguments;
- to judge ideas and opinions formulated in the publications.
Key topics
  • Students are expected to read and present state-of-the-art scientific papers in the area of theoretical computer science, AI & machine learning at the laboratory seminar.
  • Optionally, the lab also offers the possibility to meet regularly with senior researchers to discuss research problems and try out working on a concrete research topic. For more information, please contact the lecturer per email or in person.
Approaches, practices, and methods used in teaching
self-study; presenting; team research projects
Method of verifying learning outcomes and course completion requirements
Students are evaluated according their attendance at the seminar / work on the assigned project.
Language of instruction
English
Further Comments
The course is taught each semester.
The course is taught every week.
The course is also listed under the following terms Autumn 2023, Spring 2024, Autumn 2024, Autumn 2025, Spring 2026.
  • Enrolment Statistics (Spring 2025, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2025/IV132