PA096 Seminar of Dialog Laboratory

Faculty of Informatics
Autumn 2016
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. Ivan Kopeček, CSc. (lecturer)
RNDr. Jaromír Plhák, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Aleš Horák, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Wed 12:00–13:50 B201
Prerequisites (in Czech)
SOUHLAS
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
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.
Syllabus
  • 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.
Literature
  • 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
Czech
Further Comments
Study Materials
The course is taught each semester.
Teacher's information
http://lsd.fi.muni.cz/
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, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (Autumn 2016, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2016/PA096