VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.
Computational Statistics
Last Updated: 2026-02-05 15:41:59
Abstract
We discuss modern statistical methods for data analysis, including methods for data exploration, prediction and inference. We pay attention to algorithmic aspects, theoretical properties and practical considerations. The class is hands-on and methods are applied using the statistical programming language R.
Objective
The student obtains an overview of modern statistical methods for data analysis, including their algorithmic aspects and theoretical properties. The methods are applied using the statistical programming language R.
Content
See the class website
General Information
- Language
- English
- Levels
- BSC , MSC , WBZ
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 180 minutes
- Aids
- One sheet of paper (A4, front and back) with a machine- or handwritten summary.
- Digital
- The exam takes place on devices provided by ETH Zurich.
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Computational Statistics |
|
3 h weekly |
| exercise |
Computational Statistics
A "Präsenzstunde" directly following the exercises will be offered Friday 11-12 in HG G 5.
|
|
1 h weekly |
Offered In
-
-
-
-
Core Courses (In the ‘core courses’ subcategory, at least two course units must be successfully completed.)
-
-
-
-
-
Core Courses (For the Master's degree in Applied Mathematics the following additional condition (not manifest in myStudies) must be obeyed: At least 15 of the required 28 credits from core courses and electives must be acquired in areas of applied mathematics and further application-oriented fields.)
-
-
-
-
Computational Biology and Bioinformatics Master (More informations at: )
-
Advanced Courses (A total of 30 ECTS needs to be acquired in the Advanced Courses category. Thereof 18 ECTS in the Theory and 12 ECTS in the Biology category. Note that some of the lectures are being recorded: )
-
Theory (At least 18 ECTS need to be acquired in this category.)
-
-
-
Statistics Master (The following courses belong to the curriculum of the Master's Programme in Statistics. The corresponding credits do not count as external credits even for course units where an enrolment at ETH Zurich is not possible.)
-
-
-
-
-
-
-
-