FI ZARD Processing and analysis of large-scale data
Name in Czech: Zpracování a analýza rozsáhlých dat
master's full-time specialized, language of instruction: Czech Czech
Included in the programme: FI N-UIZD Artificial intelligence and data processing

Study-related information

  • Parts of the final state examination and its content
    The state final examination consists of two separately classified components: the thesis defence and the
    the professional final examination. The entire state examination lasts approximately one hour (approximately 30 minutes for the defence, 30 minutes for the examination). The student has 15 minutes to present his/her thesis, and another 15 minutes are devoted to the analysis of the testimonials and discussion. In the subsequent oral final examination, the student answers unprepared questions, typically a debate of two to three questions, with at least one question from the common core of the follow-up study programme and at least one question from the student's chosen specialisation.

    In order to pass the final examination, the student must be able to explain the basic concepts introduced in the programme profile courses, demonstrate the ability to apply the basic techniques, methods and concepts explained in the programme profile courses, and be able to respond to relevant supplementary questions or, where appropriate, develop the chosen topic in depth. If the student is unable to meet any of these requirements, the grade is unsatisfactory.

    The submission of a thesis is a prerequisite for admission to the final examination. In the case of a negative evaluation of the thesis, the student may waive the defense, accept a failing grade, and proceed directly to the examination. In the case of an unsuccessful defence, it is not possible to withdraw from the examination.

Recommended progress through the study plan

Povinné předměty studijního programu

Code Name Guarantor Type of Completion Extent and Intensity Credits Term Profile Cat.
FI:MA012Statistics II O. Pokorazk 2/2/03+2 1P
FI:IV126Fundamentals of Artificial Intelligence H. Rudovázk 2/0/13+2 1Z
FI:PA234Infrastuctural and Cloud Systems T. Rebokzk 2/2/03+2 2-
FI:PA152Efficient Use of Database Systems V. Dohnalzk 2/0/13+2 2Z
FI:PV021Neural Networks T. Brázdilzk 2/0/24+2 3Z
FI:PV056Machine Learning and Data Mining L. Popelínskýzk 2/0/13+2 2Z
FI:PV211Introduction to Information Retrieval P. Sojkazk 2/1/03+2 2Z
FI:PV251Visualization B. Kozlíkovázk 2/1/03+2 1Z
FI:SOBHADefence of Thesis D. SvobodaSZk 0/0/0- 4-
FI:SZMGRState Exam (MSc degree) D. SvobodaSZk 0/0/0- 4-
41 credits

Master's thesis

Povinnost získat 20 kreditů z předmětu SDIPR.

Code Name Guarantor Type of Completion Extent and Intensity Credits Term Profile Cat.
FI:SDIPRDiploma Thesis D. Svobodaz 0/0/020 4-
20 credits

Povinné předměty specializace

Code Name Guarantor Type of Completion Extent and Intensity Credits Term Profile Cat.
FI:PA017Information Systems Management J. Ráčekzk 2/0/02+2 1P
FI:PA128Similarity Searching in Multimedia Data P. Zezulazk 2/0/02+2 2-
FI:PA195NoSQL Databases V. Dohnalk 2/1/03+1 2-
FI:PA200Cloud Computing D. Gešvindrk 2/0/02+1 4P
FI:PA212Advanced Search Techniques for Large Scale Data Analytics J. Sedmidubskýzk 2/0/02+2 2P
FI:PA220Database systems for data analytics V. Dohnalzk 2/0/02+2 1Z
23 credits

Datové algoritmy

Získat alespoň 4 kredity absolvováním předmětů z následujícího seznamu

Code Name Guarantor Type of Completion Extent and Intensity Credits Term Profile Cat.
FI:PA228Machine Learning in Image Processing P. Matulazk 2/2/14+2 1-
FI:PV079Applied Cryptography V. Matyášzk 1/1/24+2 1-
FI:IA267Scheduling H. Rudovázk 2/02+2 1-
FI:PV254Recommender Systems R. Pelánekk 1/1/02+1 1-
FI:MA015Graph Algorithms J. Obdržálekzk 2/1/03+2 1-
24 credits

Projekty a laboratoř

Získat alespoň 4 kredity absolvováním předmětů z následujícího seznamu

Code Name Guarantor Type of Completion Extent and Intensity Credits Term Profile Cat.
FI:PV253Seminar of DISA Laboratory P. Zezulak 0/2/02+1 3-
FI:PV115Laboratory of Knowledge Discovery L. Popelínskýz 0/0/22 3-
FI:PV229Multimedia Similarity Searching in Practice M. Batkoz 0/2/02 4-
FI:PA036Database System Project V. Dohnalz 0/2/02 4-
9 credits

Volitelné kredity