Course Syllabus
Content
We will understand a number of issues about Deep Neural Networks. Our goal is to understand the mathematical underpinning of a number of tools in Deep Learning. We hope that this will give you the foundation to understand and critically think about continued advances in this dynamic area.
- Instructor: Richard Sowers
- Class Meets: 08:00AM – 09:20AM TR in 1320 DCL; these lectures are also recorded.
- Office hours: Mondays 12:30-1:30 in 201D TransportationLinks to an external site. (in person) and on ZoomLinks to an external site. (@illinois.edu login required)
- TA's: See canvas announcement.
Assessments
Component | Date/Frequency | Percentage |
---|---|---|
Midterm 1 | 10/8 | 15% |
Midterm 2 | 12/5 | 15% |
Individual Theory Assignments | Each module (roughly) | 25% |
Group Coding Assignments | Each module (roughly) | 25% |
Deep Dive Project | End of Semester | 20% |
- Coding: We will use Google Drive and Google Colab (Python Jupyter notebooks) for teaching and the Group Coding Assignments and Deep Dive Project. You can access these through Google Apps @ Illinois; you need to have Account Status “On” for Google Apps at https://cloud-dashboard.illinois.edu/cbdash/ and then log in via g.illinois.edu
- Group Coding Assignments:
- Groups will be randomly set by canvas. Groups will be re-randomized several times.
- Submissions will be via URL to your Google Colab file. Make sure to set the permissions to "Google Apps @ Illinois".
Miscellanea
- All date-times will be in Champaign-Urbana time.
- All students are expected to abide by the Honor Code; you are here to learn (and my interest is in helping you do that).
- Disability Accomodations: Disability requests should be routed through DRES <disability@uiuc.edu>
- Students who have suppressed their directory information pursuant to the Family Educational Rights and Privacy Act (FERPA) should self-identify to the instructor.
- Safety information: http://police.illinois.edu/emergency-preparedness/run-hide-fight/resources-for-instructors/