6 EC
Semester 1, periode 2
5082CCSR6Y
In the first part of the course we will go into common sense reasoning (nonmonotonic and probabilistic) that is used a lot to describe the reasoning with conditionals and defaults. In the second part of the course we will deal with the need of causality, also for statistics.
`Causal inference in Statistics. A primer' by Pearl and others: https://www.bol.com/nl/f/causality/9200000052184874/
various syllabi will be given in the course
in the lectures, the new material will be covered. Homework will be given such that the student becomes more familiar with the tools via zelfstudie. During the werkcollege there will be feedback
Activiteit | Uren | |
Deeltoets | 4 | |
Hoorcollege | 24 | |
Werkcollege | 16 | |
Zelfstudie | 124 | |
Totaal | 168 | (6 EC x 28 uur) |
no link with academische vaardigheden
Aanwezigheidseisen opleiding (OER-B):
Aanvullende eisen voor dit vak:
de aanwezigheidsplicht bij werkgroepen zal worden nageleefd.
| Onderdeel en weging | Details |
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Eindcijfer | |
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1 (100%) Deeltoets 1 |
the exams together count for 70% of the course. The other 30% comes from the assignments (huiswerk). (the deadlines will be strict). The student must have more than a 5.5 on average for the homework to pass the course. The first exam is about common sense reasoning (the readers on counterfactuals, and probability and logic) and the second exam will be about the causal inference book (plus the slides)
there will be separate meetings where the exams are discussed.
Every week there will be an assignment. The assignments have to be made individually. During the werkcollege homework feedback is given. The assignments will be graded, and the average of the assignments will count for 30% of the final grade. Moreover, the students must have at least a 5.5 on average for the assignments to pass the course.
Dit vak hanteert de algemene 'Fraude- en plagiaatregeling' van de UvA. Hier wordt nauwkeurig op gecontroleerd. Bij verdenking van fraude of plagiaat wordt de examencommissie van de opleiding ingeschakeld. Zie de Fraude- en plagiaatregeling van de UvA: http://student.uva.nl
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This is the first time this course will be given in this format, so it is not yet set in stone what will be covered exactly when.
Het rooster van dit vak is in te zien op DataNose.