BIONB 4380

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  • Schedule of Classes - September 10, 2024 10:17AM EDT
  • Course Catalog - September 10, 2024 9:48AM EDT
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BIONB 4380
Topics in Computational Methods for Neurobiology and Behavior

Course information provided by the Courses of Study 2024-2025. Courses of Study 2024-2025 is scheduled to publish mid-June.

This course is intended for advanced undergraduate and graduate students interested in computational methods for analyzing neural and behavioral data. Potential topics include signal processing, spectral analysis, information theory, cluster analysis, fitting parametrized models and maximum entropy models. We will also look at applications of modern machine learning techniques to scoring, analyzing and interpreting data. Although the course will be geared towards students who are new to computational methods, familiarity with calculus is recommended. Students will be asked to give a short oral presentation at the end of the semester on the use of methods from the class to analyze a real dataset.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: basic calculus is recommended.

Distribution Category (BIO-AS) (OPHLS-AG)

Outcomes
  • By the end of this class, students will be able to analyze real neurobiological and behavioral data using a suite of traditional and modern methods in computational neuroscience.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Graded

  • 18077 BIONB 4380   LEC 001

  •  
    • MW
    • Aug 26 - Dec 9, 2024

    • Ellwood, I

  • Recommended prerequisite: basic calculus and programming experience.