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Automated Scientific Discovery

Automating Discovery in Cognitive Neuroscience and Beyond
8.3050

Dozenten

Beschreibung

Course Overview:
In this block course, students will be introduced to methods of automated scientific discovery, with a special focus on the discovery of scientific models of brain function and behavior. The course addresses a pressing issue in neuroscience and psychology: the accumulation of vast data sets without adequate time or resources for their integration into scientific theories. To tackle this, the course explores how other scientific fields have successfully incorporated artificial intelligence into their research processes. The course combines lectures with practical programming exercises, enabling participants to learn about and apply automated discovery techniques from physics and machine learning. These techniques will be used to develop models explaining human behavior and brain function. This course lays the groundwork for advanced study and research in the emerging field of automated scientific discovery.

Course Structure:
The block course consists of four blocks. Each block will contain a lecture introducing a topic of automated scientific discovery, followed by hands-on programming exercises in which students get to implement automated discovery techniques and apply them to real-world data sets. Students will also familiarize themselves with professional software development techniques, such as unit tests and code reviews. All programming exercises will be conducted in Python and facilitated through GitHub. By the end of the course, students will have acquired both the theoretical understanding and practical skills necessary for developing and applying automated model discovery techniques.

Prerequisites:
Prospective students should have completed the course “Modeling in Cognitive Science” and possess a working knowledge of the Python programming language.

Selection Process:
The course is limited to 20 participants. In case of higher demand, participants will be selected based on a lottery.

Assessment:
Student performance may be evaluated through programming assignments and group projects focused on automated scientific discovery.

Weitere Angaben

Ort: nicht angegeben
Zeiten: Termine am Montag, 29.07.2024 - Samstag, 03.08.2024 09:00 - 17:00
Erster Termin: Montag, 29.07.2024 09:00 - 17:00
Veranstaltungsart: Vorlesung und Seminar (Offizielle Lehrveranstaltungen)
ECTS-Punkte: 8
Art der Durchführung: Hybrid-Sitzungen ohne Video-Aufzeichnung (Teilnahme in Präsenz oder per Videokonferenz/Livestream) [hybrid]

Studienbereiche

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