This course is a project-based course in which the student designs the experiment, collects data and performs EEG analyses. The first part of the course focuses on EEG experimental design and data collection. This section teaches students how to shape the choices EEG researchers make when designing their experiments according to their research questions. The second part focuses on data analysis and interpretation of results. Students learn preprocessing, event-related and steady- state potentials, time-frequency power analyses in both univariate and multivariate domains. They acquire not only theoretical knowledge but also practical skills.
EEG Methods and Analyses (PSY 510)
2020 Spring
Faculty of Arts and Social Sciences
Psychology(PSY)
3
10
Eren Günseli eren.gunseli@sabanciuniv.edu,
Click here to view.
Doctoral, Master
--
Click
here
to view.
| Programs\Type | Required | Core Elective | Area Elective |
| Computer Science and Engineering - With Master's Degree | * | ||
| Leaders for Industry Biological Sciences and Bioengineering - Non Thesis | * | ||
| Leaders for Industry Industrial Engineering - Non Thesis | * | ||
| Leaders for Industry Materials Science and Engineering - Non Thesis | * | ||
| Leaders for Industry Mechatronics Engineering - Non Thesis | * | ||
| Psychology - Non Thesis | * | ||
| Psychology - With Thesis | * |