FI:PV173 Seminary on NLP - Course Information

PV173 Seminary on Natural Language Processing

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. Aleš Horák, Ph.D. (lecturer)
doc. Mgr. Pavel Rychlý, Ph.D. (lecturer)
doc. RNDr. Petr Sojka, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics

Timetable

Wed 10:00–11:50 B410

Prerequisites

SOUHLAS
Active work in the Laboratory of Natural language processing as well as an approval of registration by the lecturer (P.Rychly) is needed.

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

• Applied Informatics (programme FI, B-AP)
• Applied Informatics (programme FI, N-AP)
• Information Technology Security (programme FI, N-IN)
• Bioinformatics (programme FI, B-AP)
• Bioinformatics (programme FI, N-AP)
• Information Systems (programme FI, N-IN)
• Informatics with another discipline (programme FI, B-BI)
• Informatics with another discipline (programme FI, B-FY)
• Informatics with another discipline (programme FI, B-GE)
• Informatics with another discipline (programme FI, B-GK)
• Informatics with another discipline (programme FI, B-CH)
• Informatics with another discipline (programme FI, B-IO)
• Informatics with another discipline (programme FI, B-MA)
• Informatics with another discipline (programme FI, B-SO)
• Informatics with another discipline (programme FI, B-TV)
• Informatics (programme FI, B-IN)
• Informatics (programme FI, M-IN)
• Informatics (programme FI, N-IN)
• Mathematical Informatics (programme FI, B-IN)
• Parallel and Distributed Systems (programme FI, B-IN)
• Parallel and Distributed Systems (programme FI, N-IN)
• Computer Graphics and Image Processing (programme FI, B-IN)
• Computer Graphics (programme FI, N-IN)
• Computer Networks and Communication (programme FI, B-IN)
• Computer Networks and Communication (programme FI, N-IN)
• Computer Systems and Data Processing (programme FI, B-IN)
• Computer Systems (programme FI, N-IN)
• Embedded Systems (eng.) (programme FI, N-IN)
• Programmable Technical Structures (programme FI, B-IN)
• Theoretical Informatics (programme FI, N-IN)
• Upper Secondary School Teacher Training in Informatics (programme FI, M-SS)
• Upper Secondary School Teacher Training in Informatics (programme FI, M-TV)
• Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
• Artificial Intelligence and Natural Language Processing (programme FI, B-IN)
• Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
• Image Processing (programme FI, N-AP)

Course objectives

The aim of the seminar is a presentation of results of student research (both doctoral and pregradual) in the NLP Laboratory.

Syllabus

• The lectures consist mostly of students' presentations. The students can control the content of the seminar in the discussions after each presentation.

Literature

• http://nlp.fi.muni.cz/cs/Laboratorni_seminar

Assessment methods

Students must attend the seminar regularly and present their own work. Credits are assigned to students according to the presented results.

Language of instruction

Czech

Further Comments

The course is taught each semester.

Teacher's information

http://www.fi.muni.cz/nlp/

• Enrolment Statistics (Autumn 2008, recent)
  
• Permalink: https://is.muni.cz/course/fi/autumn2008/PV173