Language and Communication Technologies
European Masters Program
Obligatory and Elective Courses of the LCT Program in Prague
Name of the qualification: magistr
Title conferred: Mgr. (MSc. equivalent)
Study programme/Subject of qualification: Informatics/Computational Linguistics
Each student has to pass all obligatory courses (5) at the Charles University (or their equivalents at a partner university - subject to approval) and the Final State Exam in particular.
Each student has to gain at least 42 ECTS from the list of elective courses at the Charles University (or their equivalents at a partner university - subject to approval).
More Detailed Information:
- Incoming students - Charles University web page
- Faculty of Mathematics and Physics: General rules for Bachelor's and Master's Programmes
- Master's Program in Computer Science, branch Computational Linguistics
- general information (including State Final Exam examination areas common to the Computer Science program)
- obligatory and elective courses, State Final Exam examination areas of the study branch Computational Linguistics
- Academic Calendar 2016/17
- Student Information System
- Student Affairs Department (Mgr. Kristýna Kysilková, Ph.D.)
Diploma Theses
- Guidelines for Registering, Writing, and Submitting a Master Thesis
- Diploma Thesis Layout
- Master thesis and its defenses (notes for CL students)
- Archive of Diploma Theses - SIS
State Exams (Oral Part) - students are examined from five areas:
- from two obligatory areas covering the theoretical foundations of computer science (description of the areas can be found here):
- complexity and computability, and
- data structures;
- from the obligatory area for the study branch Computational Linguistics (description of the area can be found here):
- fundamentals of natural language processing
- from two areas specific to the student's specialization within the study branch Computational Linguistics - the student will select these two examination areas when registering for the final exam; description of the areas can be found here.
The Coverage of LT Modules in Prague
The following table summarizes main courses covering LT modules (may be subject of marginal changes – please check in the Student Information System).
The Coverage of CS Modules in Prague
The following table summarizes main courses covering CS modules.
| Module | Code | Name | ECTS | Type | Semester | |||
|---|---|---|---|---|---|---|---|---|
| Data Structures, Data Organization and Processing (CS-M1) | NTIN066 | Data Structures I (obligatory) | 5 | C+Ex | winter | |||
| NPFL092 | NLP Technology (obligatory) | 5 | MC | winter | ||||
| NPFL103 | Information Retrieval | 6 | C+Ex | winter | ||||
| Logic, Computability and Complexity (CS-M2) | NTIN090 | Introduction to Complexity and Computability Theory (obligatory) | 5 | C+Ex | winter | |||
| NPFL081 | Practical Fundamentals of Probability and Statistics for Computer Linguistics | 3 | C | winter | ||||
| Formal Languages and Algorithms (CS-M3) | NTIN071 | Automata and Grammars | 6 | C+Ex | summer | |||
| NPFL054 | Introduction to Machine Learning (3/6) | 3 | C+Ex | winter | ||||
| NOPT042 | Constraint Programming | 6 | C+Ex | winter | ||||
| Advanced (CS-M4) | NPFL054 | Introduction to Machine Learning (3/6) | 3 | (see above) | ||||
| NPFL104 | Machine Learning Methods | 5 | C+Ex | summer | ||||
| NPFL095 | Modern Methods in CL | 3 | C | winter | ||||
| NPFL099 | Statistical Dialog Systems | 5 | C+Ex | summer | ||||
| NAIL069 | Artificial Intelligence I | 5 | C+Ex | winter | ||||
| NAIL070 | Artificial Intelligence II | 3 | Ex | summer | ||||
Note that there is a great number of other CS courses taught in Czech. Depending on student's interest, English lessons may be arranged. Please, contact us.
Grading scheme
| seminar | C = credited (i.e., requirements of a course are fulfilled ) | Czech abbrev. Z |
|
MC = requirement with assessment |
Czech abbrev. KZ | |
| lecture |
Ex = exam |
Czech abbrev. Zk |
Grading equivalent table recommended by the European Office can be found here.