| Monday |
Wednesday |
|
01/07 [EL] Linux and R |
01/09 [EL]
Reproducible research HW1 |
|
01/14 [HZ] Collaborative research |
01/16 [HZ] Computing with Matlab |
| 01/21
[No Class] Martin Luther King, Jr. Day |
01/23
[EL] Calling compiled code from R |
| 01/28
[EL] Cloud computing EC2 |
01/30 [EL] Cloud computing |
| 02/04
[HZ] Parallel computing (cluster, MPI) |
02/06
[HZ] Parallel computing (GPU) |
| 02/11 [EL] Convex optimization: general theory part I |
02/13
[EL] Convex optimization: general theory part II Review numerical optimization HW2 |
| 02/18
[EL] Linear programming |
02/20
[EL] Quadratic programming |
| 02/25
[EL] Integer programming |
02/27
[EL] Lab on convex optimization |
| 03/04
[No Class] Spring Break |
03/06
[No Class] Spring Break |
| 03/11
[HZ] Parallel computing (multi-core, cluster) R demo code |
03/13
[HZ] Parallel computing (GPU part I) |
| 03/18
[HZ] Parallel computing (GPU part II) |
03/20
[HZ] GPU computing examples C++ code for the genetics example |
| 03/25
[HZ] EM algorithm |
03/27
[HZ] MM algorithm |
| 04/01
[HZ] EM/MM: s.e., convergence, acceleration |
04/03 [HW3] [Yelp project] |
| 04/08
[HZ] Dynamic programming |
04/10
[HZ] Q-learning (Kristin Linn) |
| 04/15 [HZ] Sparse regression |
04/17 [HZ] Aug. Lagrangian and ADMM: basis pursuit, gen lasso [John Tukey on data analysis] [a baby reader on optim.] |
| 04/22 Group presentations: 1-6 |
04/24 Group presentations: 7-11, 13 |