Passing the study plan
FI ZPJ Natural language processing
Name in Czech: Natural language processing
master's full-time specialized, language of instruction: English
Included in the programme: FI N-UIZD_A Artificial intelligence and data processing
master's full-time specialized, language of instruction: English
Included in the programme: FI N-UIZD_A Artificial intelligence and data processing
Study-related information
- Parts of the final state examination and its contentThe state master's examination consists of a thesis defence and an oral examination. The entire state examination lasts 1 hour (approximately 30 minutes defence, 30 minutes examination). The student has 15 minutes to present his/her thesis, and another 15 minutes are devoted to the analysis of the reports and discussion. During the examination, the student answers unprepared questions, typically a debate of two to three questions.
In the case of negative opinions on the thesis, the student may waive the defense, accept the "fail" grade and proceed directly to the examination. In the case of a failed defence, it is not possible to withdraw from the examination.
The reason for failing the Master's State Examination is:
The student fails to explain (even intuitively) any of the concepts explicitly stated in the question wording.
The student is able to formulate definitions of the concepts but is unable to apply them practically even with an elementary example.
The student knows the concepts explicitly stated in the question wording, but all only at a superficial level, unable to respond to follow-up questions.
Ignorance from one question (i.e., F-level knowledge) cannot be balanced by brilliant knowledge from the other questions.
The language in which the exam is administered depends on the program. English programs are tested in English, while the other programs are tested in Czech (or Slovak) as the primary language; however, English may be tested by mutual agreement. The thesis defense is expected in the language in which the thesis is written. - Suggestion of theses topics and the topics of defended thesesExamples of thesis topics:
1) Global Calendar: https://is.muni.cz/auth/th/374516/fi_m/
2) Methods of dimensionality reduction of vector spaces: https://is.muni.cz/auth/th/374346/fi_m/
3) Fusion of separation methods: https://is.muni.cz/auth/th/255821/fi_m/
4) Deep neural networks for multimedia processing: https://is.muni.cz/auth/th/430614/fi_m/
5) Morphosyntactic analysis of Slovak: https://is.muni.cz/auth/th/359226/fi_m/
Recommended progress through the study plan
Obligatory courses of the programme / Povinné předměty studijního programu
Code | Name | Type of Completion | Credits | Term | Profile Cat. |
FI:MA012 | Statistics II | zk | 3+2 | 1 | P |
FI:IV126 | Fundamentals of Artificial Intelligence | zk | 3+2 | 1 | Z |
FI:PA234 | Infrastuctural and Cloud Systems | zk | 3+2 | 2 | - |
FI:PA152 | Efficient Use of Database Systems | zk | 3+2 | 2 | Z |
FI:PV021 | Neural Networks | zk | 4+2 | 3 | Z |
FI:PV056 | Machine Learning and Data Mining | zk | 3+2 | 2 | Z |
FI:PV211 | Introduction to Information Retrieval | zk | 3+2 | 2 | Z |
FI:PV251 | Visualization | zk | 3+2 | 1 | Z |
FI:SOBHA | Defence of Thesis | SZk | - | 4 | - |
FI:SZMGR | State Exam (MSc degree) | SZk | - | 4 | - |
41 credits |
Master's Thesis / Diplomová práce
Obligation to obtain 20 credits from the SDIPR course.
Code | Name | Type of Completion | Credits | Term | Profile Cat. |
FI:SDIPR | Diploma Thesis | z | 20 | 4 | - |
20 credits |
Obligatory courses for specialization / Povinné předměty specializace
Code | Name | Type of Completion | Credits | Term | Profile Cat. |
FI:IA161 | Natural Language Processing in Practice | k | 2+1 | 3 | Z |
FI:IV111 | Probability in Computer Science | zk | 3+2 | 1 | P |
FI:PA153 | Natural Language Processing | zk | 2+2 | 1 | Z |
FI:PA154 | Language Modeling | zk | 2+2 | 2 | P |
FI:PA164 | Machine learning and natural language processing | zk | 3+2 | 1 | - |
FI:PV061 | Machine Translation | zk | 2+2 | 3 | - |
FI:IA008 | Computational Logic | zk | 3+2 | 2 | - |
30 credits |
Extending theoretical subjects
Pass at least 2 courses of the following list
Seminar or Project
Pass at least 1 course of the following list
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.