The following courses in language technology are offered during the academic year 2017 – 2018. To view courses from previous years, go to the bottom of this page. If you have started your studies before 2017, take a look at the course correspondences in the old and new curricula.
Bachelor’s level courses
The bachelor’s level courses are offered by the study track of Linguistics in the Bachelor’s Programme in Languages. The courses are divided into two blocks: basic studies and intermediate studies.
KIK-405 Introduction to Language Technology, 5 cr [Period 1]
KIK-404 Corpus Linguistics and Statistical Methods, 5 cr [Period 1 and 3]
KIK-LG102 Morphology and Syntax, 10 cr [Periods 3 – 4]
KIK-LG103 Semantics and Pragmatics, 10 cr [Periods 3 – 4]
KIK-LG208 Programming for Linguists, 5 cr [Period 3]
KIK-LG209 Mathematics for Linguists, 5 cr [Period 4]
KIK-LG210 Machine Learning for Linguists, 5 cr [Period 4]
KIK-LG207 Statistics for Linguists, 5 cr (to be confirmed)
KIK-LG211 Building Natural Language Processing Applications, 5 cr [Period 2]
Master’s level courses
The master’s level courses (advanced studies) are offered by the study track of Language Technology in the Master’s Programme Linguistic Diversity in the Digital Age (LingDA).
LDA-3103 Linguistics in the Digital Age, 10 cr [Periods 1 – 2]
LDA-T3101 Computational Morphology, 5 cr [Period 3]
LDA-T3102 Computational Syntax, 5 cr [Period 4]
LDA-T3103 Computational Semantics, 5 cr [Period 2]
LDA-T3104 Language Technology Seminar, 5 cr [Period 1-4]
LDA-T3105 Models and Algorithms in NLP Applications, 5 cr [Period 1]
LDA-T3113 Current Topics in Language Technology: NLP for Low-Resource Languages, 5 cr [Period 1]
Additional relevant courses are offered by the master’s programme in data science.