Advanced Topics in Linguistic Data Science

Learning Outcomes

This seminar aims at providing students with knowledge and/or practice in innovative and state-of-the-art developments in Linguistic Data Science or directly intersecting with Linguistic Data Science. At the end of the course, students, students will be able to:

a) develop critical thinking about themes and specific issues in studies in Linguistic Data Science,

b) identify opportunities and gaps in methods and/or results in current work in the field of Linguistic Data Science,

c) acquire skills on relevant and up-to-date theories, tools, methods and applications,

d) formulate research/innovation questions and propose research/solutions paths.data; 

e) write a dissertation on trends in Linguistics, Data Science and/or Computer Science according to the established canonical norms of the scientific area; 

f) prepare the public discussion of the research results and the presentation of their relevance to the clarification of the issues studied.