Syllabus
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Compulsory subjects
| Subject | Languages | ECTS Credits | Specialities / Syllabus | Teaching Base | Mode |
|---|---|---|---|---|---|
| Applications (I): Understanding NLP | English | 3 | -- | University of the Basque Country
(
Faculty of Computer Engineering
)
| Face-to-face degree course |
| Corpus Linguistics | English | 3 | -- | University of the Basque Country
(
Faculty of Computer Engineering
)
| Face-to-face degree course |
| Research Methods for NLP | English | 3 | -- | University of the Basque Country
(
Faculty of Computer Engineering
)
| Face-to-face degree course |
Optional subjects
| Subject | Languages | ECTS Credits | Specialities / Syllabus | Teaching Base | Mode |
|---|---|---|---|---|---|
| Automated Reasoning | English | 3 | -- | University of the Basque Country
(
Faculty of Computer Engineering
)
| Face-to-face degree course |
| Building Language Resources | English | 3 | -- | University of the Basque Country
(
Faculty of Computer Engineering
)
| Face-to-face degree course |
| Computational Morphology | English | 4.5 | -- | University of the Basque Country
(
Faculty of Computer Engineering
)
| Face-to-face degree course |
| Computational Semantics and Pragmatics | English | 4.5 | -- | University of the Basque Country
(
Faculty of Computer Engineering
)
| Face-to-face degree course |
| Computational syntax | English | 4.5 | -- | University of the Basque Country
(
Faculty of Computer Engineering
)
| Face-to-face degree course |
| Deep Learning | English | 6 | -- | University of the Basque Country
(
Faculty of Computer Engineering
)
| Face-to-face degree course |
| Introduction to Automatic Learning | English | 3 | -- | University of the Basque Country
(
Faculty of Computer Engineering
)
| Face-to-face degree course |
| Language Technologies for Digital Humanities | English | 4.5 | -- | University of the Basque Country
(
Faculty of Computer Engineering
)
| Face-to-face degree course |
| Machine Learning (II) | English | 3 | -- | University of the Basque Country
(
Faculty of Computer Engineering
)
| Face-to-face degree course |
| Machine Translation and Multilingualism | English | 4.5 | -- | University of the Basque Country
(
Faculty of Computer Engineering
)
| Face-to-face degree course |
| NLP Applications (II): Building Information Extraction, Question Answering and Conversational Systems | English | 4.5 | -- | University of the Basque Country
(
Faculty of Computer Engineering
)
| Face-to-face degree course |
| Programming Techniques for NLP | English | 6 | -- | University of the Basque Country
(
Faculty of Computer Engineering
)
| Face-to-face degree course |
| Speech Processing | English | 4.5 | -- | University of the Basque Country
(
Faculty of Computer Engineering
)
| Face-to-face degree course |
| Speech Technologies | English | 4.5 | -- | University of the Basque Country
(
Faculty of Computer Engineering
)
| Face-to-face degree course |
| Statistics and Mathematics for NLP | English | 3 | -- | University of the Basque Country
(
Faculty of Computer Engineering
)
| Face-to-face degree course |
| Theoretical Linguistics | English | 6 | -- | University of the Basque Country
(
Faculty of Computer Engineering
)
| Face-to-face degree course |
Final Master's dissertation
| Subject | Languages | ECTS Credits | Specialities / Syllabus | Teaching Base | Mode |
|---|---|---|---|---|---|
| Proyecto Fin de Máster | 30 | -- |
Methodology
The methodology applied in this master will alternate presentation of the basic theoretical and the realization of practical exercises in class:* Experts' exhibition of theoretical concepts and principles in class * Conducting case studies in class * Using the above-mentioned techniques, students will perform exercises on the subjects covered in class * Debates in class on the technical literature previously readAssessment
The master includes several evaluation systems. Mainly, the following five divisions or work areas will be taken into consideration: * Written tests (including the possibility of taking them from home) * Carrying out written and oral tasks* Practical exercises done in class * Student participation in classes or seminars * Comments on the bibliography read.- Number of credits ECTS : 30
- Master's Final Project teachers