Syllabus

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Study load
Compulsory subjectsOptional subjectsFinal Master's dissertationTotal
9   ECTS   credits51   ECTS   credits30   ECTS   credits90   ECTS   credits

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Compulsory subjects

Compulsory subjects
SubjectLanguages ECTS   CreditsSpecialities / SyllabusTeaching BaseMode
Applications (I): Understanding NLPEnglish3 --
University of the Basque Country ( Faculty of Computer Engineering )
Face-to-face degree course
Corpus LinguisticsEnglish3 --
University of the Basque Country ( Faculty of Computer Engineering )
Face-to-face degree course
Research Methods for NLPEnglish3 --
University of the Basque Country ( Faculty of Computer Engineering )
Face-to-face degree course

Optional subjects

Optional subjects
SubjectLanguages ECTS   CreditsSpecialities / SyllabusTeaching BaseMode
Automated ReasoningEnglish3 --
University of the Basque Country ( Faculty of Computer Engineering )
Face-to-face degree course
Building Language ResourcesEnglish3 --
University of the Basque Country ( Faculty of Computer Engineering )
Face-to-face degree course
Computational MorphologyEnglish4.5 --
University of the Basque Country ( Faculty of Computer Engineering )
Face-to-face degree course
Computational Semantics and PragmaticsEnglish4.5 --
University of the Basque Country ( Faculty of Computer Engineering )
Face-to-face degree course
Computational syntaxEnglish4.5 --
University of the Basque Country ( Faculty of Computer Engineering )
Face-to-face degree course
Deep LearningEnglish6 --
University of the Basque Country ( Faculty of Computer Engineering )
Face-to-face degree course
Introduction to Automatic LearningEnglish3 --
University of the Basque Country ( Faculty of Computer Engineering )
Face-to-face degree course
Language Technologies for Digital HumanitiesEnglish4.5 --
University of the Basque Country ( Faculty of Computer Engineering )
Face-to-face degree course
Machine Learning (II)English3 --
University of the Basque Country ( Faculty of Computer Engineering )
Face-to-face degree course
Machine Translation and MultilingualismEnglish4.5 --
University of the Basque Country ( Faculty of Computer Engineering )
Face-to-face degree course
NLP Applications (II): Building Information Extraction, Question Answering and Conversational SystemsEnglish4.5 --
University of the Basque Country ( Faculty of Computer Engineering )
Face-to-face degree course
Programming Techniques for NLPEnglish6 --
University of the Basque Country ( Faculty of Computer Engineering )
Face-to-face degree course
Speech ProcessingEnglish4.5 --
University of the Basque Country ( Faculty of Computer Engineering )
Face-to-face degree course
Speech TechnologiesEnglish4.5 --
University of the Basque Country ( Faculty of Computer Engineering )
Face-to-face degree course
Statistics and Mathematics for NLPEnglish3 --
University of the Basque Country ( Faculty of Computer Engineering )
Face-to-face degree course
Theoretical LinguisticsEnglish6 --
University of the Basque Country ( Faculty of Computer Engineering )
Face-to-face degree course

Final Master's dissertation

Final Master's dissertation
SubjectLanguages ECTS   CreditsSpecialities / SyllabusTeaching BaseMode
Proyecto Fin de Máster30 --

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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 read

Assessment

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.

tfm-master

Master's Degree Final Project

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