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| Semester | spring semester 2019 |
| Course frequency | Irregular |
| Lecturers |
Helge Liebert (helge.liebert@unibas.ch)
Anthony Strittmatter (anthony.strittmatter@unibas.ch, Assessor) |
| Content | 1. Introduction to Machine Learning for Prediction 2. Introduction to Web-Scraping 3. Introduction to Text Mining 4. Causal Machine Learning 5. Optimal Policy Assignment |
| Admission requirements | It will be easier to follow the course with previous knowledge of microeconometrics, policy evaluation, and/or R (or other statistical software). |
| Course application | As the course is restricted to 25-30 students, please enrol by email to Anthony Strittmatter (anthony.strittmatter@unisg.ch) until January 15th, 2019. Enrolment = Registration for the exam! |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|
No dates available. Please contact the lecturer.
| Modules |
Modul: Fachlich-methodische Weiterbildung (Doctoral Studies - Faculty of Business and Economics) |
| Assessment format | end-of-semester examination |
| Assessment details | Take Home Groups Assignment |
| Assessment registration/deregistration | Registration/deregistration: teaching staff |
| Repeat examination | no repeat examination |
| Scale | 1-6 0,5 |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Business and Economics , studiendekanat-wwz@unibas.ch |
| Offered by | Faculty of Business and Economics |