Technical data analysis 3201-LST-TDA

Knowledge: the graduate knows and understands:
-in-depth, specialized terminology in the fields of theoretical linguistics, corpus linguistics, neuroscience
-in-depth, the main directions of development and contemporary research trends in linguistics (theoretical, computational, cognitive, corpus, social/text linguistics) and knows where the most important linguistic research centers in Europe and the world are located
-in-depth, research methods used in: psycholinguistics, neurolinguistics, corpus linguistics, digital linguistics and text linguistics, as well as statistical models

Skills: the graduate is able to:
-use in-depth theoretical and practical knowledge to carry out research work and solve complex problems in linguistics (theoretical, computational, cognitive, corpus, social/text linguistics) using appropriate methodology
-use advanced research tools of linguistics (theoretical, computational, cognitive, corpus-based) and select research methods appropriately to the problems undertaken
-use in-depth knowledge of linguistics (theoretical, computational, cognitive, corpus-based, social/text linguistics) through the selection and appropriate application of modern information and communication technology (including statistical, corpus, eye-tracking and EEG analysis software) when working with research data

Social competences: the graduate is ready to:
-recognize the importance of the latest linguistic knowledge and critically evaluate research in linguistics (theoretical, computational, cognitive, corpus, social/text linguistics), especially those published in scientific journals and monographs and popular science sources
-recognize the importance of linguistic knowledge in solving cognitive and practical problems and to consult with experts
-initiate and carry out linguistic research, in particular to improve accessibility in the dimensions of language, information and communication