- to provide students with cutting-edge knowledge and skills that are highly demanded in any field of the current job market; and
- to increase learning and teaching efficiency by clarifying the structure of prerequisites in data science-oriented methods courses.
Please note that it is possible that a course is offered in a different term in a given year than what is indicated in the tables below.
|Machine Learning for Natural Language Processing||2||Mandatory-elective|
|Data Mining and Big Data Analytics||2||Mandatory|
|Agent Based Models||2||Mandatory-elective|
|Digital Data Collection Methods*||2||Mandatory-elective|
TOTAL CREDITS: 8 (2+2 mandatory; 2+2 Mandatory-elective)
*Please note that DNDS6007 "Digital Data Collection Methods" and "Diving in the Digital Public Space: From individual (behavioral) digital traces to collective social and political dynamics" are the same course.