FI:IA080 Seminar on Knowledge Discovery - Course Information
IA080 Seminar on Knowledge Discovery
Faculty of InformaticsAutumn 2009
- Extent and Intensity
- 0/2. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: k (colloquium). Other types of completion: z (credit).
- Teacher(s)
- doc. RNDr. Lubomír Popelínský, Ph.D. (lecturer)
RNDr. Antonín Pavelka, Ph.D. (assistant) - Guaranteed by
- prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Contact Person: doc. RNDr. Lubomír Popelínský, Ph.D. - Timetable
- Tue 15:00–16:50 B001
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 15 student(s).
Current registration and enrolment status: enrolled: 0/15, only registered: 0/15, only registered with preference (fields directly associated with the programme): 0/15 - fields of study / plans the course is directly associated with
- there are 23 fields of study the course is directly associated with, display
- Course objectives
- At the end of the course students should be able to understand scientific works in the area of machine learning and knowledge discovery in data and use it in their work. They will be able to evaluate contributions of such research studies.
- Syllabus
- The seminar is focused on theory and practice of knowledge discovery in various data sources. Program of the seminar contains also contributions of teachers and PhD. students of the Knowldge Discovery Laboratory, as well as other laboratories, on advanced topics of knowledge discovery.
- Literature
- Teaching methods
- Presentations by staff members and PhD. students. Study of research papers and presentation of advanced methods for machine learning and data mining.
- Assessment methods
- Presentation of an advanced topic from machine learning, data mining and knowledge discovery, a final report.
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught each semester. - Teacher's information
- http://www.fi.muni.cz/kd/kdd_sem.html
- Enrolment Statistics (Autumn 2009, recent)
- Permalink: https://is.muni.cz/course/fi/autumn2009/IA080