IV133 Lab Seminar – RationAI

Faculty of Informatics
Spring 2026
Extent and Intensity
0/2/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: k (colloquium). Other types of completion: z (credit).
In-person direct teaching
Teacher(s)
doc. RNDr. Tomáš Brázdil, Ph.D., MBA (lecturer)
RNDr. Vít Musil, Ph.D. (lecturer)
Guaranteed by
RNDr. Vít Musil, Ph.D.
Department of Computer Science – Faculty of Informatics
Supplier department: Department of Computer Science – Faculty of Informatics
Timetable of Seminar Groups
IV133/XAI_research: Mon 16. 2. to Mon 11. 5. Mon 10:00–11:50 A417, T. Brázdil, V. Musil
Prerequisites (in Czech)
SOUHLAS
This is a dedicated laboratory seminar. Please contact the RationAI laboratory manager if you are interested.
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 33 fields of study the course is directly associated with, display
Abstract (in Czech)
By completing the seminar, the student will gain insight into various advanced parts of artificial intelligence and its explainability, especially in the field of image processing in digital pathology. The student will be able to understand, process, and present the research material independently.
Learning outcomes (in Czech)
The student has insight into various advanced parts of artificial intelligence and its explainability, especially in the field of image processing in digital pathology. The student is able to understand, process, and present research material independently.
Key topics (in Czech)
Students will choose from the topics offered at the beginning of the semester. Seminar groups are dedicated to different research areas. In regular weekly seminars, the students explain and discuss the subject matter with the teachers. At the final seminar, an overall evaluation is made.
Approaches, practices, and methods used in teaching (in Czech)
The seminar is focused on individual and team study of the assigned material, own research, and presentation of the findings.
Method of verifying learning outcomes and course completion requirements (in Czech)
Students are evaluated for their activity in seminars, the quality of their results, and the manner and quality of their presentation to their peers.
Language of instruction
English
Further comments (probably available only in Czech)
The course is taught each semester.
The course is also listed under the following terms Autumn 2024, Spring 2025, Autumn 2025.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/fi/spring2026/IV133