VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.

851-0367-00L 2 Credits DR D-GESS
You're viewing possible stale or outdated data. Please check the latest semester for more up-to-date information.

Introduction to EEG Data Analysis

Lecturers & Examiners: Dr. Hanna Poikonen
VVZ CR n/a

Last Updated: 2026-02-05 15:48:16

Abstract

We learn in a hands-on manner the basics of EEG data analysis with MATLAB and are introduced to the origin of EEG signal in the brain to understand how the electrical properties of the brain and skull may influence the signal. We learn the core factors of EEG study design and data analysis to be able to interpret the EEG results critically. Basic programming skills are required.

Objective

The objectives of the course are to learn the basics of EEG data analysis, basics of the critical interpretation of the results and to screen for the most common errors during the EEG data analysis.

Content

On the course, we go through step by step the basics of EEG data processing from raw data to preparation of the data for statistical analyses. The steps include filtering and re-referencing the data, removing eye-movement artefacts with Independent Component Analysis, setting time stamps and epoching the data. Participants also have a possibility to work with their own EEG data.

General Information

Language
English
Levels
DR

Examination

Type
ungraded semester performance

Registration & Places

Max Places
8

Course Components

Type Title Time & Place Hours
seminar Introduction to EEG Data Analysis
Block course
  • 24.01. - 28.01 Date 10:15-16:00 (IFW B 42)
25 h semesterly

Offered In