Institutionernas doktorandkurser

Startdatum och periodicitet för kurser kan variera. Se detaljer för respektive kurs för aktuell information. För anmälan, kontakta respektive kursansvarig. 


Kausalitet & kausal inferens

  • Kurskod: FDAT131
  • ECTS-poäng: 7,5
  • Institution: DATA- OCH INFORMATIONSTEKNIK
  • Forskarskola: Data- och informationsteknik
  • Startdatum: 2020-09-01
  • Slutdatum: 2020-10-30
  • Periodicitet: LP1
  • Undervisningsspråk: Kursen kommer att ges på engelska
  • Nordic Five Tech (N5T): Kursen är kostnadsfri för doktorander från N5T-universitet
The content is structured into 8 modules, one for each week of the course. We begin by briefly covering necessary prerequisites, such as probabilistic graphical models, and by introducing structural definitions of causality. This will enable us to study sufficient conditions for inferring causal relationships between random variables. In the second half of the course, we study estimation of causal effects and policy evaluation. These are important topics in, e.g., epidemiology. At the end of the course, each student will present a research paper on a topic of their choice.
Litteratur
The course will be based on public material such as research papers and ebooks available online. There will be weekly in-class or video lectures given by Fredrik. If you are interested in the topic and would like to read a book on the subject, consider one of the following:
  • Pearl, Judea. Causality. Cambridge university press, 2009.
  • Hernán MA, Robins JM (2020). Causal Inference: What If. Boca Raton: Chapman & Hall/CRC.
    https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/
  • Morgan, Stephen L., and Christopher Winship. Counterfactuals and causal inference. Cambridge University Press, 2015. 2nd Edition.
Föreläsare
Fredrik Johansson
Mer information
https://chalmers.instructure.com/courses/10036

Sidansvarig Publicerad: on 10 feb 2021.