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401-3632-00L 8 Credits BSC , MSC , WBZ D-BSSE , D-INFK , D-MATH , D-MAVT , D-ITET
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Computational Statistics

Lecturers & Examiners: Dr. Nicolai Felix Meinshausen
VVZ CR 4.15

Last Updated: 2026-02-05 16:07:51

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.
This is a computer exam. Some of the questions require the use of the statistical programming language R.

Course Components

Type Title Time & Place Hours
lecture Computational Statistics
  • Thu 14:15-16:00 (HG F 1)
  • Fri 09:15-10:00 (HG F 1)
3 h weekly
exercise Computational Statistics
A "Präsenzstunde" directly following the exercises will be offered Friday 11-12 in HG G 5.
  • Fri 10:15-11:00 (HG G 5)
1 h weekly

Offered In