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FI ZPJ Natural language processing
Name in Czech: Natural language processing
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:IA161Natural Language Processing in Practice A. Horákk 1/1/02+1 3Z
FI:IV111Probability in Computer Science V. Řehákzk 2/2/03+2 1P
FI:PA153Natural Language Processing P. Rychlýzk 2/0/02+2 1Z
FI:PA154Language Modeling P. Rychlýzk 2/0/02+2 2P
FI:PA164Machine learning and natural language processing V. Nováčekzk 2/1/03+2 1-
FI:PV061Machine Translation P. Rychlýzk 2/0/02+2 3-
FI:IA008Computational Logic A. Blumensathzk 2/2/03+2 2-
30 credits

Extending theoretical subjects

Pass at least 2 courses of the following list

Code Name Guarantor Type of Completion Extent and Intensity Credits Term Profile Cat.
FI:MA010Graph Theory D. Kráľzk 2/1/03+2 3-
FI:MA015Graph Algorithms J. Obdržálekzk 2/1/03+2 3-
FI:MA018Numerical Methods J. Zelinkazk 2/2/03+2 3-
PřF:M7130Computational geometry J. Slovákzk 2/0/02+2 3-
19 credits

Seminar or Project

Pass at least 1 course of the following list

Code Name Guarantor Type of Completion Extent and Intensity Credits Term Profile Cat.
FI:PV173Natural Language Processing Seminar A. Horákk 0/2/02+1 4-
FI:PV277Programming Applications for Social Robots A. Horákk 0/1/01+1 3-
FI:PB106Corpus Linguistic Project I P. Rychlýz 0/2/02 3-
FI:PA107Corpus Tools Project P. Rychlýz 0/2/02 4-
9 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.