Course: Master Thesis 3

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Course title Master Thesis 3
Course code KMI/DIPP3
Organizational form of instruction Seminary
Level of course Master
Year of study 2
Semester Winter
Number of ECTS credits 11
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
  • Krupka Michal, doc. RNDr. Ph.D.
  • Bartl Eduard, RNDr. Ph.D.
  • Bělohlávek Radim, prof. RNDr. Ph.D., DSc.
  • Motyčková Lenka, doc. Ing. CSc.
  • Vychodil Vilém, doc. RNDr. Ph.D.
  • Kolařík Miroslav, doc. RNDr. Ph.D.
  • Konečný Jan, RNDr. Ph.D.
  • Krajča Petr, Mgr. Ph.D.
  • Osička Petr, Mgr. Ph.D.
  • Outrata Jan, doc. Mgr. Ph.D.
  • Kühr Tomáš, Mgr. Ph.D.
  • Večerka Arnošt, RNDr.
  • Zacpal Jiří, Mgr. Ph.D.
  • Trnečka Martin, Mgr. Ph.D.
  • Hruška Miroslav, Ing.
  • Kauer Martin, Mgr.
  • Keprt Aleš, Mgr. Ph.D.
  • Laštovička Jan, Mgr.
  • Opichal Stanislav, RNDr.
  • Procházka Pavel, Mgr.
  • Studnička Jan, Mgr.
  • Trnečková Markéta, Mgr.
  • Tříska Jan, Bc.
  • Vaverka Ondřej, Mgr.
Course content
This is a third part of a course devoted to work on master thesis. The course program is provided by the supervisor according to the thesis topic. During the course, the student will attend consultations with the supervisor. The student chooses the thesis topic in accordance with the valid rules.

Learning activities and teaching methods
Learning outcomes
Working out the aims of the master's thesis defined by the thesis supervisor.
3. Application: Apply computer science methods to advanced problems. 4. Analysis: Compare various possibilities for solving the problems of the thesis. 5. Synthesis: Solve various theoretical or practical problems, propose proper methods or technologies. 6. Evaluation: Review particular and general outcomes of the thesis, compare with other approaches.

Assessment methods and criteria
Written exam, Student performance

Active participation in class. Completion of assigned homeworks. Passing the written exam.
Recommended literature
  • Podle pokynů vedoucího práce.

Study plans that include the course
Faculty Study plan (Version) Branch of study Category Recommended year of study Recommended semester
Faculty of Science Computer Science (2015) Informatics courses 2 Winter
Faculty of Science Applied Computer Science (1) Informatics courses 2 Winter