Probability and statistics II
Summary
Linear statistical methods, analysis of experiments, logistic regression.
Content
- Simple linear regression, least squares estimation
- t-tests, confidence intervals
- Multiple regression
- Model selection
- Experimental designs
- One-way, two-way ANOVA
- Chi-square test
- Logistic regression
Learning Outcomes
By the end of the course, the student must be able to:
- Demonstrate understanding of course material
- Apply understanding to exercise/real life scenarios
Transversal skills
- Use a work methodology appropriate to the task.
Teaching methods
Lectures and group exercises
Expected student activities
Students should be prepared to participate in their learning by participating during lecture, asking questions, and contributing to exercise sessions
Assessment methods
Written
Dans les plans d'études
- Semestre: Printemps
- Forme de l'examen: Ecrit (session d'été)
- Matière examinée: Probability and statistics II
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Ecrit (session d'été)
- Matière examinée: Probability and statistics II
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 2 Heure(s) hebdo x 14 semaines
Semaine de référence
Lu | Ma | Me | Je | Ve | |
8-9 | |||||
9-10 | |||||
10-11 | |||||
11-12 | |||||
12-13 | |||||
13-14 | |||||
14-15 | |||||
15-16 | |||||
16-17 | |||||
17-18 | |||||
18-19 | |||||
19-20 | |||||
20-21 | |||||
21-22 |
Légendes:
Cours
Exercice, TP
Projet, autre