363-1167-00L Data Science for Social Challenges
Semester | Autumn Semester 2022 |
Lecturers | R. Roller, L. Brandenberger |
Periodicity | yearly recurring course |
Language of instruction | English |
Performance assessment information (valid until the course unit is held again) | |
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ECTS credits | 3 credits |
Examiners | R. Roller, L. Brandenberger |
Type | graded semester performance |
Language of examination | English |
Repetition | Repetition only possible after re-enrolling for the course unit. |
Admission requirement | The statistical analyses in the course exercises are performed in R. Students should be interested in learning R skills to run sophisticated quantitative analyses. A self-study tutorial for base R-skills (or as a short refresher) is provided at the start of the course. |
Additional information on mode of examination | This course does not have a final exam. The performance assessment consists of the following elements: 1. Students are in charge of presenting and discussion a research question taken from a research paper. Group presentations are possible. Students present the research question and are in charge of leading the discussion (30min in total). Students have to summarize the discussion in a small written report (max. 300 words). The written report (authored individually) makes up for 20% of the final grade. 2. During the lecture, students are presented a research design by an external researcher. After the lecture and discussion, students have to evaluate the research design. The evaluations consist of answering questions at home and uploading the answers to Moodle (max. 100 words per question). The best out of the 3 evaluations counts towards 20% of the final grade. 3. At the end of term, students have to hand in a written report on a research question of their choice. The report consists of a short research design surrounding a research question the respective students are interested in. The report is max. 3 pages long and consists of 60% of the final grade. Additionally, students partake in weekly pop-quizzes (during the lecture, not graded) and weekly exercise classes (not graded). |