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FI ZARDA Processing and analysis of large-scale data
Name in Czech: Processing and analysis of large-scale data
master's full-time specialized, language of instruction: English English
Included in the programme: FI N-UIZD_A Artificial intelligence and data processing

Introductory information / Instructions

Obtain at least 120 credits overall and pass the final state exam. Obtain 20 credits from SDIPR course and successfully defend Master's Thesis. Pass all the compulsory and elective courses of the program and selected specialization with the highest possible graduation form (unless explicitly stated otherwise). Fulfil requirements of at least one specialization.

Obligatory courses of the programme / 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 J. Sedmidubskýzk 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 / Diplomová práce

Obligation to obtain 20 credits from the SDIPR course.

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

Obligatory courses for specialization / Povinné předměty specializace

Code Name Guarantor Type of Completion Extent and Intensity Credits Term Profile Cat.
FI:MA018Numerical Methods J. Zelinkazk 2/2/03+2 3-
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 3-
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
FI:PV206Communication and Soft Skills V. Dohnalzk 3/2/0 Three blocks of 1.5 days each.4+2 4-
34 credits

Data Algorithms

Obtain at least 4 credits by passing courses of the following list

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

Projects and Laboratory

Obtain at least 4 credits by passing courses of the following list

Code Name Guarantor Type of Completion Extent and Intensity Credits Term Profile Cat.
FI:PV253Lab Seminar – Data Intensive Systems and Applications (DISA) P. Zezulak 0/2/02+1 1-
FI:PV229Multimedia Similarity Searching in Practice M. Batkoz 0/2/02 2-
FI:PA036Database System Project V. Dohnalz 0/2/02 2-
FI:PV212Seminar on Machine Learning, Language Representation and Information Retrieval P. Sojkak 0/2/02+1 1-
FI:PA026Artificial Intelligence Project A. Horákk 0/2/02+1 2-
13 credits

Free credits / Volné kredity

Complete additional courses so that the total credit gain is at least 120 credits for the entire study of this degree programme.