The schedule is tentative, it will very likely change as we go. Links to the course material will be provided in the schedule below before each class.

The course schedule

Week	Tuesday	Thursday
01	Oct 14 No class	Oct 16 No class
02	Oct 21 Introduction / organization  [slides, 8up]	Oct 23 Linear algebra (vector, matrices)  [slides, 8up]
03	Oct 28 Linear algebra (dot product)	Oct 30 Linear algebra (solving systems of equations, matrix inverse)  [slides, 8up]
04	Nov 04 Linear algebra (solving systems of equations, matrix inverse)	Nov 06 Linear algebra (projection, regression)  [slides, 8up]
05	Nov 11 Linear algebra (projection, regression)	Nov 13 Linear algebra (projection, regression)
06	Nov 18 Linear algebra (projection, regression)	Nov 20 Linear algebra (eigenvalues/eigenvectors)  [slides, 8up]
07	Nov 25 Linear algebra (eigenvalues/eigenvectors)	Nov 27 Linear algebra (SVD)  [slides, 8up]
08	Dec 02 SVD	Dec 04 Calculus  [slides, 8up]
09	Dec 09 Calculus & Regression  [slides, 8up]	Dec 11 Probability Theory  [slides, 8up]
10	Dec 16 Probability theory	Dec 18 Information Theory  [slides, 8up]
11	Dec 23 Sem. break	Dec 25 Sem. break
12	Dec 30 Sem. break	Jan 01 Sem. break
13	Jan 06 Sem. break	Jan 08 Regression / Wrap up  [slides, 8up]
14	Jan 13 Generalization, bias, variance, evalation  [slides, 8up]	Jan 15 Generalization, bias, variance, evalation
15	Jan 20 Classification  [slides, 8up]	Jan 22 Classification
16	Jan 27 Clustering  [slides, 8up]	Jan 29 Clustering
17	Feb 03 Summary & QA	Feb 05 Summary & QA