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