FI:PV212 Seminar on Dig.Typography - Course Information
PV212 Readings in Digital Typography, Scientific Visualization, Information Retrieval and Machine Learning
Faculty of InformaticsAutumn 2011
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
- Teacher(s)
- doc. RNDr. Petr Sojka, Ph.D. (lecturer)
- Guaranteed by
- prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics
Contact Person: doc. RNDr. Petr Sojka, Ph.D. - Prerequisites
- SOUHLAS
Deep interest in areas of Digital Typography, Scientific Visualization, Information Retrieval and Machine Learning. - 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 46 fields of study the course is directly associated with, display
- Course objectives
- At the end of the course students should be able to read, understand, explain and evaluate [English] scientific papers, based on experience of practising these skills in this seminar.
- Syllabus
- Topics and projects for every year will be posted on the web page of the course. On seminars students will refer about topics studied and they will be discussed thoroughly.
- Literature
- WITTEN, I. H. and Eibe FRANK. Data mining : practical machine learning tools and techniques. 2nd ed. Amsterdam: Elsevier, 2005, xxxi, 525. ISBN 0120884070. info
- KNUTH, Donald Ervin. Digital typography. Stanford: Center for the Study of Language and Information, 1999, xv, 685. ISBN 1575860112. info
- MITCHELL, Tom M. Machine learning. Boston: McGraw-Hill, 1997, xv, 414. ISBN 0070428077. info
- Information retrieval :data structures & algorithms. Edited by William B. Frakes - Ricardo Baeza-Yates. Upper Saddle River: Prentice Hall, 1992, viii, 504. ISBN 0-13-463837-9. info
- Teaching methods
- Lectures intermixed with seminar style discussions and brainstormings to solve given topics-projects. Students will be given readings as a preparation for the contact teaching hours.
- Assessment methods
- Every student will either refer about some research topic or solve small research project and present its solution.
- Language of instruction
- English
- Further comments (probably available only in Czech)
- The course is taught annually.
The course is taught: every week. - Teacher's information
- http://www.fi.muni.cz/~sojka/PV212/
- Enrolment Statistics (Autumn 2011, recent)
- Permalink: https://is.muni.cz/course/fi/autumn2011/PV212