| Date | Topic | ||
|---|---|---|---|
| Week 1 | |||
| Jun 6 | Welcome day | ||
| Jun 7 | Data Mining Introduction | ||
| Jun 9 | Python Introduction (numpy, pandas, jupyter, conda environment) | ||
| Jun 10 | Full immersion on project | ||
| Week 2 | |||
| Jun 13 | ML for classification I : SVM, Confusion Matrix Lab: Abstract First Version + Paper reading |
||
| Jun 14 | ML for classification II : DT, Random Forest, XGBoost
Cross-Validation, Grid Search Resampling Techniques Lab: Abstract Second Version + Paper reading |
||
| Jun 16 | ML for regression (9:30 - 10:30) Colloquium speaker, Dr. Kimberly Sellers (10:30-11:30) Lab: Experiments on project data |
||
| Jun 17 | Neural Networks TensorFlow/Keras Finalize and Submit Abstract + Poster Initial Design Lab: Experiments on project data + Paper reading |
||
| Week 3 | |||
| Jun 20 | No meeting (Juneteenth Holiday) | ||
| Jun 21 | HyperOpt + ReMix Lab: Experiments on project data + Paper reading |
||
| Jun 22 | LaTex tutorial (10:00-10:30) Overleaf tutorial + Add references for related work (10:30-12:00) Lab: Poster design + experiment assignment |
||
| Jun 23 | Recurrent Neural Networks + Attention-LSTM (10:00-11:00)
Colloquium featuring former SPIRAL student, Brett Jefferson (11:00-12:00) Meeting with Advisory Committee (1:30-2:30) Lab: Poster Design + Initial Results and Figures (2:30-3:30) |
||
| Jun 24 | Poster Design (10:00-11:00)
Virtual CAARMS Pre-Conference (11:00-3:00) |
||
| Week 4 | |||
| Jun 27 | Classification: Convolutional Neural Networks Forecasting: Auto-regressive Models |
||
| Jun 28 | Forecasting: Deep Learning (Guest Lecture: Massimiliano Altieri) Lab: Poster Submission |
||
| Jun 29 - Jul 2 | CAARMS Conference | ||
| Week 5 | |||
| July 4 | No meeting (the Fourth of July Holiday) | ||
| July 5 | No meeting (the Fourth of July Holiday) | ||
| July 6 (virtual) | 10:00-11:00 Results review and discussion
Classification results (Random forest, decision tree, MLP, any other models you've tried? ) Regression results (linear, polynomial, boosting, LSTM, any other models you've tried? 11:00-12:00 Bill Massy: Oral Presentation Tips 1:30-3:30pm Lab: Overleaf writing: results + related Work + experiments on project data |
||
| July 7 (virtual) | 10:00-noon: Paper Presentation/Discussion
1:00pm-2:00pm: Lab: Experiments on project data 2:00pm-3:00pm: Colloquim by two former SPIRAL students (Drs. Samuels and Melissa N'Gamini) 3:00pm-4:00pm: Practice presentations |
||
| July 8 (virtual) | 10:00-11:00am: Experiments on project data
11:00am-3:00pm: Presentation of Angela E. Grant Poster Award Winners at CAARMS virtual conference |
||
| Week 6 | |||
| July 11 | Paper Presentation/Discussion
Lab: Related Work (overleaf) + Experiments on project data |
||
| July 12 | Paper Presentation/Discussion
Lab: Related Work (overleaf) + Experiments on project data |
||
| July 13 | Paper Presentation/Discussion
Lab: Experimental Results (overleaf) + Experiments on project data |
||
| July 14 | Field Trip: Pentagon visit | ||
| July 15 | Paper Presentation/Discussion
Lab: Experimental Results (overleaf) + Experiments on project data |
||
| Week 7 | |||
| July 18 | Group Presentation Preparation + Experiments on project data | ||
| July 19 | Group Presentation Dry Run + Experiments on project data | ||
| July 21 | Group Presentation Day (tentative) | ||
| July 22 | Paper Writing (overleaf) + Experiments on project data | ||
| Week 8 (Virtual) | |||
| July 25 - 28 | Paper Writing (overleaf) + Zoom Discussion + Experiments on project data | ||
| July 29 | Paper Ready for Submission | ||