FI:PV212 Seminar on ML, NLP, and IR - Informace o předmětu

PV212 Seminar on Machine Learning, Language Representation and Information Retrieval

Rozsah

0/2/0. 2 kr. (plus ukončení). Ukončení: k.
Vyučováno kontaktně

Vyučující

doc. RNDr. Petr Sojka, Ph.D. (přednášející)

Garance

doc. RNDr. Petr Sojka, Ph.D.
Katedra vizuální informatiky – Fakulta informatiky
Kontaktní osoba: doc. RNDr. Petr Sojka, Ph.D.
Dodavatelské pracoviště: Katedra vizuální informatiky – Fakulta informatiky

Rozvrh

Čt 19. 2. až Čt 14. 5. Čt 10:00–11:50 A502

Předpoklady

SOUHLAS
Interest in research problems in areas of Machine Learning, Scientific Visualization, Information Retrieval and Digital Typography. Courage to learn how to move the human knowledge and understanding in these areas by CS research. Willingness to study particular topic of choice, and refer, discuss and brainstorm about it with others.

Omezení zápisu do předmětu

Předmět je nabízen i studentům mimo mateřské obory.

Mateřské obory/plány

předmět má 34 mateřských oborů, zobrazit

Anotace

The aim of the seminar is to give students (both pre- and post-graduates) the opportunity to read, practice, and present scientific results (either their own or those acquired from scientific papers. Every student will have her/his own presentation in the seminar.

Výstupy z učení

At the end of the course students will have experience in presenting and discussion of their or other (from readings) research. They also will be able to prepare scientific presentation of their work (slides, thesis), and communicate scientific results.

Klíčová témata

Referred topics/projects for every year will be posted on the web page of the course, and negotiated with registered students. The lectures consist mostly of students' presentations. The presentations and discussion are in English. The students will have an ample space in the discussions after each presentation.

Studijní zdroje a literatura

• WITTEN, I. H. a 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

Přístupy, postupy a metody používané ve výuce

Lectures are interspersed with seminar-style discussions and brainstorming to solve the reported research problems or thesis topics. Students will be given readings as preparation for the contact teaching hours if they do not bring their own research problems.

Způsob ověření výstupů z učení a požadavky na ukončení

Each student must prepare and deliver one short lecture (to discuss a research topic from the readings or to solve a project typical of their thesis) and present their solution during the term.

Students should also actively participate in the discussions.

Vyučovací jazyk

Angličtina

Navazující předměty

• DUVOD Úvod do PhD studia
• PV173 Lab Seminar – NLP
• PV174 Lab Project – Electronic and MultiMedia Applications

Odkaz a informace vyučujících

https://www.fi.muni.cz/~sojka/PV212/
The course is especially useful for students preparing their research thesis in the areas covered.

 "Education is not about the filling of a bucket but the lighting of a fire!" William Butler Yeats

Studijní opora

https://www.fi.muni.cz/~sojka/PV212/

Další komentáře

Studijní materiály
Předmět je vyučován každý semestr.

• Statistika zápisu (nejnovější)
  
• Permalink: https://is.muni.cz/predmet/fi/jaro2026/PV212