Online Courses – Spring

Spring 2025
Click a course to see details such as class number.

See available syllabi by logging into https://syllabus.uconn.edu
(Contact the instructor directly for courses that do not have a syllabus link.)

Are you interested in becoming a Non-degree or Visiting Student?
See: Non-degree page.

Instructors, to include a link to your class syllabus, see: "Providing Syllabus Links to eCampus for Online Course Listing Pages."

 

Register for courses in Student Admin.

5602. Machine Learning for Physical Sciences and Systems

Also offered as: SE 5602

3.00 credits

Prerequisites:

Grading Basis: Graded

Foundational knowledge in applied aspects of machine learning, including methods for handling uncertain, small, and imbalanced data; feature selection and representation learning; and model selection and assessment. Students will also gain exposure to state-of-the-art research on interpretability of machine learning models, stability of machine learning algorithms, and meta-learning. Topics will be discussed in the context of recent advances in machine learning for materials, chemistry, and physics applications, with an emphasis on the unique opportunities and challenges at the intersection of machine learning and these fields.


Last Refreshed: 27-DEC-24 05.20.14.637395 AM
To view current class enrollment click the refresh icon next to the enrollment numbers.
Section Class Number Notes Instructor Enrollment Session Instruction Mode
001 6049 Yang, Qian 3/30 Reg Online Blended