Optimizing Experiment Design

Dozenten

Beschreibung

Course Overview:
In the course "Optimizing Experiment Design" students will acquire knowledge in the adaptive design of behavioral experiments. Students will learn to design behavioral experiments that are both informative and data efficient with respect to a given set of hypotheses or models. Students will apply their acquired knowledge directly on current cognitive science research areas by identifying experiment design needs, creating their own experiments and validating the given hypotheses through further data and model analysis.

Course Structure:
The course will consist of introductions to factorial experimental design, optimal experiment design and active learning. Then hands-on programming lessons and exercises in Python follow, where students can practice the application of the introduced methods to identify the most informative conditions and create their own experimental design. Finally, the students will work in groups on a particular problem set and present their results in short talks.

Dates:
This course is held as a block of 3 days, each 6 hours course + 1,5 hours for breaks.
The dates will be announced as soon as possible.

Prerequisites:
Students are expected to have a basic understanding of cognitive modeling and programming fundamentals. Familiarity with the programming language Python is a plus.

Assessment:
Evaluation in this course will be based on the following components:
individual evaluation: participation in in-class exercises
group evaluation: presentation of the obtained results from the group project

Further Information:
In the Github Repository for this course, you can find all the necessary files needed for the course.
The Repository can be accessed over this link: https://github.com/whyhardt/CourseOptimizingExperimentalDesign/tree/master

If you want to use your own computer during the course you are welcome to do so but make sure to have all necessary programs installed beforehand. You can find a step-by-step installation guide in the linked Github Repository.

Weitere Angaben

Ort: 50/E08
Zeiten: Termine am Freitag, 12.01.2024 - Samstag, 13.01.2024, Samstag, 27.01.2024 09:00 - 17:00
Erster Termin: Freitag, 12.01.2024 09:00 - 17:00, Ort: 50/E08
Veranstaltungsart: Praktikum (Offizielle Lehrveranstaltungen)
ECTS-Punkte: 4
Art der Durchführung: Präsenz-Sitzungen ohne Video-Aufzeichnung [präsenz]

Studienbereiche

• Veranstaltungen > Cognitive Science > Bachelor-Programm
• Veranstaltungen > Cognitive Science > Master-Programm
• Courses in English > Human Sciences (e.g. Cognitive Science, Psychology)