Course Overview

- Probability spaces, discrete randoms variables, real-valued random
variables
- Classical limit theorems
- Descriptive statistics: summary statistics, graphs
- Statistical inference: statistical estimation, confidence interval
- Principal component analysis
- Practical sessions on computers

Learning Achievement

Competence

Course prerequisites

High school diploma in science with specialization in mathematics. 

Grading Philosophy

Projects or exams.

Course schedule

See description. 

Course type

Online Course Requirement

Instructor

Other information

Language of instruction: English
Mode of delivery: E-learning, regular meetings with course coordinator

Site for Inquiry