DMZDD Digital Data Processing Methods

Faculty of Informatics
Spring 2019
Extent and Intensity
3/0/2. 5 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. RNDr. Ivan Kopeček, CSc. (lecturer)
prof. RNDr. Václav Matyáš, M.Sc., Ph.D. (lecturer)
prof. PhDr. Karel Pala, CSc. (lecturer)
prof. Ing. Pavel Zezula, CSc. (lecturer)
doc. RNDr. Lubomír Popelínský, Ph.D. (lecturer)
doc. Ing. Michal Brandejs, CSc. (lecturer)
doc. Ing. Pavel Čeleda, Ph.D. (lecturer)
doc. RNDr. Vlastislav Dohnal, Ph.D. (lecturer)
doc. RNDr. Aleš Horák, Ph.D. (lecturer)
doc. Mgr. Radek Pelánek, Ph.D. (lecturer)
prof. Ing. Václav Přenosil, CSc. (lecturer)
doc. RNDr. Petr Sojka, Ph.D. (lecturer)
prof. RNDr. Jiří Zlatuška, CSc. (lecturer)
Guaranteed by
prof. RNDr. Petr Hliněný, Ph.D.
Faculty of Informatics
Supplier department: Faculty of Informatics
Prerequisites (in Czech)
!NOWANY( DEMBSY Embedded systems , DFOME Formal Methods , DMKZI Quantum Information Processing , DPGZO Graphics & Image Processing , DMPOS Computer Networks Methods , DPITS EIT Systems and Services , DZPJUI NLP and AI Methods , DPOSO Advances in Concurrency , DRPSEC Research in comp.security )
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
there are 8 fields of study the course is directly associated with, display
Course objectives
The course is devoted to the PhD students. The supervisors integrate the students to the research projects in a broader context of concrete laboratories: Laboratory of Searching and Dialogue, Laboratory of Security and Applied Cryptography, Laboratory of Natural Language Processing. The goal of the course is to to enble the students to participate in the projcts and to gain experience in research team work.
Syllabus
  • Framework of the course consists in digital processing of various forms of data, like naturatl text, images, sound and video. Spacial attention is devoted to the methoda of searching in large databases, security of data processing and the analysis of text informarion.
Literature
  • The literature is established by the concrete supervisor for the concrete studet.
Teaching methods
Consultations and research work is based on individual communication with the supervisor. The students are integrated into the laboratory research projects and international research projects like Networks of excellece or other EU projects. The team collaboration is emphasized.
Assessment methods
The research work of the students is evaluated by the supervisor based on the concrete research plan.
Language of instruction
Czech
The course is also listed under the following terms 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, Autumn 2019, Spring 2020, Autumn 2020.
  • Enrolment Statistics (Spring 2019, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2019/DMZDD