IV133 RationAI lab seminar

Faculty of Informatics
Autumn 2024
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. (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/seminar_RationAI: No timetable has been entered into IS. T. Brázdil, V. Musil
IV133/statistika: No timetable has been entered into IS. T. Brázdil, V. Musil
Prerequisites
SOUHLAS
This is a dedicated laboratory seminar, so 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
Course objectives
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
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.
Syllabus
  • Team study or team research project. Students will choose from the topics/projects offered at the beginning of the semester. In regular weekly seminars, the selected student (or the teacher) explains the subject matter. At designated seminars, students report on their progress and results and are given feedback. At the final seminar, an overall evaluation is made.
Teaching methods
Seminar focused on team study of the assigned material, own research and presentation of results.
Assessment methods
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
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught each semester.
Teacher's information
Topics for each semester will be announced via https://rationai.fi.muni.cz/, or students may contact the instructor directly. If a subject/seminar group is not listed in the central timetable, the time is yet to be arranged with interested students before the semester.
The course is also listed under the following terms Spring 2025.
  • Enrolment Statistics (Autumn 2024, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2024/IV133