ClassInfo - Fall 2020 Psychology Classes

Fall 2020 | PSY 5038W Section 001: Introduction to Neural Networks (31923)

Instructor(s): Daniel Kersten
Class Component:: Laboratory
Credits:: 3 Credits
Grading Basis:: Student Option
Instructor Consent:: No Special Consent Required
Instruction Mode:: Completely Online
Class Attributes:: UMNTC Liberal Education Requirement
Online Course
Enrollment Requirements:: Exclude fr or soph 5000 level courses
Times and Locations:: Regular Academic Session

09/08/2020 - 12/16/2020

Mon, Wed 09:45AM - 11:00AM

Off Campus

UMN REMOTE
Enrollment Status:: Open (17 of 20 seats filled)
Also Offered:: (Tentative) Fall 2022

Course Catalog Description:: Parallel distributed processing models in neural/cognitive science. Linear models, Hebbian rules, self-organization, non-linear networks, optimization, representation of information. Applications to sensory processing, perception, learning, memory. prereq: [[3061 or NSC 3102], [MATH 1282 or 2243]] or instr consent
Class Notes:: This course is completely online in a synchronous format. The course will meet online at the scheduled times.
Class Description:: This course is an introduction to neural models used in neuroscience and cognitive science. We begin by studying linear neural systems models and their biological justification, and then build on this foundation to understand non-linear networks. Topics include Hebbian learning, self-organization, information optimization, and representation of neural information. Later in the course, neural computation is studied in the context of statistical pattern and learning theory. The course covers applications to sensory processing, perception, learning, and memory. We take a multi-disciplinary approach to neural networks, combining lectures and interactive, in-class computer programming exercises. Prerequisites: Experience with calculus, probability, linear algebra and programming is useful, however, basic linear algebra and probability will be reviewed as needed. No prior programming experience is necessary.
Grading:: 16% Midterm Exam
16% Final Exam
28% Problem Solving
40% Other Evaluation Other Grading Information: Final Project (3 parts: 2%, 5%, 33%)
Textbooks:: https://bookstores.umn.edu/course-lookup/31923/1209
Instructor Supplied Information Last Updated:: 4 September 2007

ClassInfo Links - Fall 2020 Psychology Classes

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