Schedule

Week 1
08/20 - introduction
08/22 - supervised vs. unsupervised

Week 2
08/27 - bayes (chipping vs. white throat)
08/29 - no class

Week 3
09/03 - no class
09/05 - distance metrics

Week 4
09/10 - k-means clustering
09/12 - llyods algorithm (points in 2d space)

Week 5
09/17 - knn, fuzzy clustering
09/19 - hierarchical clustering (gas prices)

Week 6
09/24 - optimization
09/26 - project presentation

Week 7
10/01 - genetic algorithms
10/03 - genetic algorithms

Week 8
10/08 - monte carlo
10/10 - simulated annealing

Week 9
10/15 - fall break
10/17 - lab day

Week 10
10/22 - lab day
10/24 - matrix decompositions

Week 11
10/29 - basis vectors
10/31 - principle components analysis, SVD

Week 12
11/05 - birthday
11/07 - non-negative matrix factorization

Week 13
11/19 - eigenfaces
11/21 - thanks giving

Week 14
11/26 - presentations
11/28 - presentations