The anticipated schedule of lectures (subject to changes):


Tuesday, Sept. 2:  

G. Djorgovski (Caltech), D. Crichton, R. Doyle (JPL):  Introduction

C. Mattman (JPL & USC):  Big Data Architecture: Fundamentals

C. Donalek (Caltech):  Introduction to Machine Learning


Wednesday, Sept. 3:

A. Mahabal (Caltech):  Best programming practices

C. Mattmann (JPL & USC):  Content Detection and Analysis for Big Data


Thursday, Sept. 4:  

A. Mahabal (Caltech):  Introduction to R


Friday, Sept. 5:  

A. Braverman (JPL):  Statistical resampling and inference


Monday, Sept. 8:

M. Graham (Caltech):  Databases


Tuesday, Sept. 9:  

S. Davidoff (JPL):  Data visualization


Wednesday, Sept. 10:

C. Donalek (Caltech):  Clustering and classification


Thursday, Sept. 11:

T. Fuchs (JPL):  Decision trees and random forests


Friday, Sept. 12:

D. Thompson (JPL):  Dimensionality reduction

General on-line discussion and closing remarks