Schedule
Weekly schedule
| Week | Dates | Topic |
|---|---|---|
| Week 01 | Jan 08 - Jan 12 | Welcome to Digital Twins for Physical Systems |
| Week 02 | January 15 - 19 | Adjoint methods for inverse problems |
| Week 03 | January 22- 26 | Automatic Differentiation & Variational Data Assimilation |
| Week 04 | Jan/Feb 29 - 02 | Data Assimilation |
| Week 05 | Feb 05 - 09 | Statistical Data Assimilation |
| Week 06 | Feb 12 - 16 | Bayesian Data Assimilation |
| Week 07 | February 19 - 23 | Machine Learning |
| Week 08 | March 04 - 08 | Machine Learning |
| Week 09 | March 11 - 14 | Machine Learning |
Labs
Labs will be due on Fridays at 11:59pm.
Lab software installation instructions
Labs can be rerun in the language of your choice (Julia/R) but if you chose to reuse the Python code then you can easily run on Google Collab. This service includes a free tier that only requires a Google account. For future projects that require intensive matrix multiplication operations such as convolutional networks a hardware accelerator will drastically improve execution time. These are accessible in Collab by restarting the notebook after: Runtime -> Change runtime type -> Hardware accelerator = T4 GPU (in free tier).
Lab submission instructions
To submit assignments please export your notebook as PDF and send to TA’s Gatech email: Rafael Orozco with subject line that includes the phrase “CSE-8803 Lab [# of lab]”. To export notebook as PDF in Google collab: File -> Print -> Set Destination to “save as PDF” -> Save.