Language Analysis and Processing

Training syllabus: 2019/20

SubjectLanguagesCredits ECTSSpecialities / Career pathsTeaching BaseMode
Common mandatory subjects
Computational Linguistics, Morphology and SyntaxEnglish 9
  • Faculty of Computer Engineering
Face-to-face degree course
Statistical Methods and Corpus Linguistics English 6
  • Faculty of Computer Engineering
Face-to-face degree course
Common optional subjects
Advanced methods for corpus analysisEnglish 4.5
  • Faculty of Computer Engineering
Face-to-face degree course
Aplications on Language Technologies English 9
  • Faculty of Computer Engineering
Face-to-face degree course
Computational Logic,Semantics and Pragmatics English 9
  • Faculty of Computer Engineering
Face-to-face degree course
Corpus-based computational semanticsEnglish 9
  • Faculty of Computer Engineering
Face-to-face degree course
Linguistics for natural language processingEnglish 6
  • Faculty of Computer Engineering
Face-to-face degree course
Machine Learning English 4.5
  • Faculty of Computer Engineering
Face-to-face degree course
Natural Language Processing and Research: Documentation and CommunicationEnglish 3
  • Faculty of Computer Engineering
Face-to-face degree course
Programming techniques for Natural Language processingEnglish 6
  • Faculty of Computer Engineering
Face-to-face degree course
Seminars on Language TechnologiesEnglish 4.5
  • Faculty of Computer Engineering
Face-to-face degree course
Speech Processing and speech technologies English 9
  • Faculty of Computer Engineering
Face-to-face degree course
Final Master's Dissertation
Master Thesis30

    Complementary training (not included in the masters' degree)

    Not required