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)
2021 Spring
Faculty of Arts and Social Sciences
Psychology(PSY)
3
10
Eren Günseli eren.gunseli@sabanciuniv.edu,
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English
Doctoral, Master
--
Formal lecture,Interactive lecture,Group tutorial
Interactive,Communicative,Project based learning
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| Programs\Type | Required | Core Elective | Area Elective |
| Computer Science and Engineering - With Master's Degree | * | ||
| Experimental Psychology - With Bachelor's Degree | * | ||
| Experimental Psychology - 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 | * |
CONTENT
LEARNING OUTCOMES
- Acquire knowledge on the fundamentals of EEG research on humans.
- Develop skills and knowledge to collect, preprocess and analyze EEG data. Two main analysis domains will be event related potentials and time-frequency power.
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ASSESSMENT METHODS and CRITERIA
| Percentage (%) | |
| Participation | 10 |
| Presentation | 90 |