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FI ZPJA 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 Study focus
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 2P
FI:PA152Efficient Use of Database Systems V. Dohnalzk 2/0/13+2 2Z
FI:PV021Neural Networks T. Brázdilzk 2/0/24+2 3Z
FI:PV026Large Language Models A. Horákzk 2/1/03+2 2Z
FI:PV056Machine Learning and Data Mining J. Sedmidubskýzk 2/0/13+2 2Z
FI:PV251Visualization B. Kozlíkovázk 2/1/03+2 1Z
FI:SOBHADefence of Thesis D. SvobodaSZk 0/0/00 4-
FI:SZMGRState Exam (MSc degree) D. SvobodaSZk 0/0/00 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 Study focus
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 Study focus
FI:IV161Natural 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-
25 credits

Advanced theoretical courses

Pass at least 3 courses of the following list

Code Name Guarantor Type of Completion Extent and Intensity Credits Term Study focus
FI:MA010Graph Theory P. Hliněnýzk 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-
FI:IA008Computational Logic A. Blumensathzk 2/2/03+2 3-
FI:IV029Introduction to Transparent Intensional Logic A. Horákzk 2/0/02+2 3-
24 credits

Seminar or Project

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

Code Name Guarantor Type of Completion Extent and Intensity Credits Term Study focus
FI:PV173Lab Seminar – NLP 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:PA107LLM 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.