There will be four assignments, one for each case study. Each assignment contains both theoretical questions and analysis of large datasets, sometimes requiring cluster access.
Students may work in groups although solutions and code must be prepared individually. Additionally, the 3rd assignment "fMRI Prediction" must be completed individually.
Homeworks must be submitted at the beginning of the class on the due day (see below for the due day of each homework). You are allowed to use 2 LATE DAYs throughout the entire quater only for the homeworks.
Click Prediction
Homework 1Checkpoint: Jan 22 (Tuesday) Only submit your code and results for the Warm Up part for the checkpoint.
Due: Jan 29 (Tuesday)
Starter code
Recitation 1 Slides
Recitation 2 Slides
Document retrieval and clustering
Homework 2Due: Feb 14 (Thursday)
Starter code
Synthetic Data
MatLab code for finding the the optimal label mapping
Recitation 3 Notes
Recitation 4 Slides
fMRI Prediction
Homework 3Due: Feb 28 (Thursday)
Starter code
lasso_synthetic.zip
Recitation 5 Notes
Recitation 6 Slides