CS394N, NEU394P Neural Networks

Fall 2020, Wed 9am-12pm, Online
Unique numbers 51375 (CS394n), 54649 (NEU394P)
Zoom links to class meetings and office hours are in Canvas
Risto Miikkulainen
Office hrs (online): Drop-in: M 6-6:30pm, W 4:30-5pm; By appt: Th 2:30-4pm

Jamie Warner
Office hrs (online): M 2-3pm; W 3:30-4:30pm; or by appointment

- Haykin, S. (2009). Neural Networks and Learning Machines, 3rd Edition (required).
- Various research papers (some required, some optional).

Course organization:
This course is fully online, but synchronous. That is, we follow the same structure as we would in an in-person class, but participate through videoconference.

30% Exam on introductory lectures
20% Homework assignments
10% Questions on topic talks
40% Project paper
- No makeup exams without a valid proof of unexpected emergency.
- Turning homework in late will reduce the grade 15% for the first 24hrs, 40% for the second, 75% for the third, and 100% after that.
- Plus/minus final grades will be used; attendance will not affect the final grade.
- Students with disabilities may request appropriate academic accommodations from the Services for Students with Disabilities.
- Cheating will not be tolerated; see CS Department Code of Conduct

More details:
Course Description
Class Schedule
Homework Assignments
Topic Talks
Project Talks
Project Papers
Class Resources

The UTCS Neural Networks Research Group

Sun Aug 16 21:05:16 CDT 2020