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Data Analysis in Physics
Datenanalyse in der Physik
Last Updated: 2026-02-05 16:22:25
Abstract
In preparation for scientific work, especially the physics lab courses as well as semester and master's theses, students receive an introduction to many relevant aspects of data acquisition (measurement technology), software-aided data processing (error calculus, statistics, comparison with models up to machine learning) and data representation (graphs, interpretation).
Objective
(a) Understanding of the measurement process in general; (b) Know-how in digital data analysis; (c) Capability to draw scientifically correct conclusions from data; (d) Outlook towards machine learning methods to analyze large data sets ("Big Data").
General Information
- Language
- German
- Levels
- BSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 120 minutes
- Aids
- Mathematische Formelsammlung, eigene Übungsresultate und Musterlösungen, Vorlesungsskript, Übersetzungswörterbuch, selbst verfasste Zusammenfassung der Vorlesung.
- Digital
- The exam takes place on devices provided by ETH Zurich.
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Datenanalyse in der Physik |
|
2 h weekly |
| exercise | Datenanalyse in der Physik |
|
2 h weekly |
Offered In
-
Physics Bachelor (no course offering in this semester)
-