Course Directors and Office Hours
- David Lovinger
- Associate Chief Medical Officer, Health Informatics
- Office Hour (by appointment): Mon 1-2PM
- Email: David.Lovinger@carle.com
- Charles Blatti
- Research Scientist at National Center for Supercomputing
Applications
- Office Hour (by appointment): Friday 1-3PM
- Email: blatti@illinois.edu
- Ruoqing Zhu
- Associate Professor in Department of Statistics
- Office Hour (by appointment): Wed 1-3PM
- Email: rqzhu@illinois.edu
Course Communication
For questions not related to appointment scheduling, the course will
utilize:
- Discussion forums and course gradebook hosted on Canvas.
Course Objectives
- Gain insight into the infrastructure and scale of data science in
medicine
- Learn and understand the practical aspects of data science in
medicine
- Demonstrate the ability to employ principles of data science in a
medical context
- Draw important connections from the project to translation and
practice
- Carry out a well-motivated and substantive data project and
subsequent analysis
Course Timeline and Scores
Below are the deliverables and their point allocations for the
project. Submissions that are a few days late will not receive full
credit. After that, a zero will be entered in the gradebook. Items
marked with * must be completed to pass the course.
- Phase II deadline has been pushed for 2 weeks.
New deadline at July 1, 2022.
| —————— Phase I —————— |
|
|
| Orientation Meeting |
Mar 14, 2022 |
|
| Student Team Agreement [Student Submit] |
Apr 8, 2022 |
5 |
| Phase I Report [Team PDF Submit] |
May 6, 2022 |
20 |
| Mentor Confirmation* [Mentor Submit] |
May 20, 2022 |
N/A |
| —————— Phase II —————— |
|
|
| Phase II: Report w/ Updates [Team PDF Submit] |
July 1, 2022 |
25 + 5 |
| Phase II: Project Proposal and Timeline [Team Submit] |
July 1, 2022 |
10 |
| Phase II Peer Evaluation [Individual Submit] |
July 15, 2022 |
10 |
| —————— Phase III —————— |
|
|
| Phase III Report w/ Updates [Team PDF Submit] |
Nov 11, 2022 |
30 + 5 |
| Mentor Evaluations* [Mentor Submit] |
Dec 9, 2022 |
N/A |
| —————— Phase IV —————— |
|
|
| Final Report* w/ Updates [Team PDF Submit] |
Feb 10, 2023 |
35 + 5 |
| Presentation Video* + Slides/Poster* [Team URL and PDF
Submit] |
Feb 24, 2023 |
40 |
| Final Peer Evaluation [Student Submit] |
Mar 10, 2023 |
10 |
|
|
|
Designing a Data Science Project
- Your team must select a clinically-relevant project of sufficient
difficulty focused on an iteratively-refined data analysis
- DSPs may not be submission of previous work, but may extend previous
IDEA Projects if scope is sufficient
- DSPs must cover distinct topics from the Capstone Project and may
not be a software algorithm related to the Capstone device hardware.
However, common connections such as disease or medical domain and
sharing of mentors between DSP and Capstone is allowed
- DSPs may be significant extensions of the provided, domain-specific
template projects or use other
public data sets (see other
resources)
- Data used in the DSP must be available at the time of the project
proposal and not contain personal identifiable information
Course Progression
- Phase I: Team Formation and
Data Set Exploration (Mar 15, 2022 to May 20, 2022)
- Phase II: Literature Review
and Project Proposal (May 21, 2022 to July 1, 2022)
- Phase III: Preliminary Data
Analysis and Midterm Report (July 2, 2022 to Nov 11,
2022)
- Phase IV: Final Report,
Poster, and Presentation (Nov 12, 2022 to March 10,
2023)
Bonus Phase: Public Presentation
Based on the evaluation of the project poster and presentations, we
will nominate a few teams to present at a public event in April or May
2023.
Course Policies
Additional course policies are detailed at this page.