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Root number
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476161 |
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Semester
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FS2025 |
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Type of course
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Seminar |
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Allocation to subject
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Psychology |
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Type of exam
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Written exam |
| Title |
Machine Leanring in cognitive psychology |
| Description |
The course is particularly suitable for master students in psychology with an interest in modern methods in psychological research. Why are machine learning (ML) methods and algorithms not only developed in computer science and statistics but also at companies such as, e.g., Google or Facebook? Why are ML methods often so successful? How does ML differ from "classical" statistics? ML methods are all very computing intensive---in psychology, on the other hand, there are suggestions that what makes humans smart may be rather simple, robust mental algorithms termed "heuristics". What are the statistical properties of heuristics? How and when could heuristics be superior to ML? In the course all algorithms will be motivated from a cognitive psychology perspective.
Topics will include supervised and unsupervised classification; clustering; heuristics and sufficient statistics; decision theory.
Professorship: Cognitive Psychology, Perception and Research Methods |
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ILIAS-Link (Learning resource for course)
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Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible).
ILIAS
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Link to another web site
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| Lecturers |
Prof. Dr.
Felix Alexander Wichmann, Institute of Psychology, Cognitive Psychology, Perception and Methodology
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ECTS
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5 |
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Recognition as optional course possible
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No |
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Grading
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1 to 6 |
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| Dates |
Friday 28/2/2025 08:30-12:00
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Friday 14/3/2025 08:30-12:00
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Friday 28/3/2025 08:30-12:00
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Friday 11/4/2025 08:30-12:00
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Friday 2/5/2025 08:30-12:00
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Friday 16/5/2025 08:30-12:00
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Friday 30/5/2025 08:30-12:00
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Rooms
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
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