PA096 Seminar of Dialog Laboratory

Faculty of Informatics
Spring 2020
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).
doc. RNDr. Ivan Kopeček, CSc. (lecturer)
RNDr. Jaromír Plhák, Ph.D. (lecturer)
Guaranteed by
RNDr. Jaromír Plhák, Ph.D.
Department of Machine Learning and Data Processing - Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing - Faculty of Informatics
Mon 17. 2. to Fri 15. 5. Wed 12:00–13:50 B201
Prerequisites (in Czech)
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 52 fields of study the course is directly associated with, display
Course objectives
The aim of the seminar is to create a common platform for discussing issues related to ongoing research projects within the laboratory. The purpose is to present current projects' status to the other lab members and stir up a discussion that leads to new solutions and approaches. The projects are solved within small, usually disjoint, teams but led by lab members.
Learning outcomes
After completing this course, student will be able to:
- to present the state of the art of the research projects solved within the laboratory;
- present a research summary on the topics related to the areas of expertise of the laboratory.
  • The content of the seminar is formed by presentations of current status of ongoing research projects of the laboratory An inherent part of the seminar constitutes presentations of new research trends. The backbone of the seminar is formed by presentations by PhD students.
  • Literatura bude dle potřeby zadána v souvislosti s programem semináře.
  • The literature will be specified in relation to concrete research program of the seminar.
Teaching methods
A short oral presentations of a research project and discussion.
Assessment methods
Credit is obtained by giving an oral presentation about solving an actual problem.
Language of instruction
Further Comments
The course is taught each semester.
Teacher's information
The course is also listed under the following terms Spring 2003, Spring 2004, Spring 2005, Autumn 2005, Spring 2006, Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Autumn 2020, Spring 2021.
  • Enrolment Statistics (Spring 2020, recent)
  • Permalink: