| Note: OLD! Needs to be updated for Winter 2022 | | :————————————————–: |

Assessment Schedule

Topic Item Released on Week Weighting (Total % of Course) Released Due Part Specific Topics Covered
Asg 1 Asg 1 2 20% Thursday, May 20, 2021 Sunday, June 6, 2021 Part 1: Data Cleaning, Parameter Estimation, kNN, Experimental Train/Test/Validate, Ablation, Hypoth Test, Probabilities
Asg 2 Asg 2 6 20% Monday, June 14, 2021 Sunday, July 18, 2021 Part 2: Feature extraction (PCA,LDA), and classification on a new covid dataset using Decision Trees, Random Forests, Boosted Regression Trees and Naive Bayes
Test 1 Test 1 7 10% Tuesday, June 22, 2021 Thursday, June 24, 2021 Part 1: Data Cleaning, Parameter Estimation (MLE/MAP), Basic Classification and kNN, Experimental Train/Test/Validate, Error measures, Ablation Studies, Probabilities, ROC/AUC, Decision Trees
Asg 3 Asg 3 9 25% Monday, July 19, 2021 Tuesday, August 10, 2021 Part 3: Deep Learning on COVID dataset as classification and time series prediction. CNN on small image dataset.
Test 2 Test 2 10 10% Tuesday, July 20, 2021 Thursday, July 22, 2021 Part 2: Streaming Ensemble Methods. Feature Extraction, Dimensionality Reduction, SVM, Clustering Algorithms and Evaluation Measures, Anomaly Detection
Test 3 Test 3 13 15% Tuesday, August 3, 2021 Thursday, August 5, 2021 Part 3: Neural Networks and Deep Learning