This class is offered in a flipped classroom mode: all lectures and other materials are available on-line. There will be also one weekly hands-on lab session, where you can try in practice what you learned from the lectures. Some on-line discussion forum will be also provided.
The materials are available at the
Caltech-JPL Summer School on Big Data Analytics
Coursera site . More will be added as we go along.
The enrollment is open and free; you have to register there in order to follow this class.
Here is how it works: You watch the lectures assigned for a given week, do any supplementary reading, and come prepared to the lab session, where you do a practical exercise pertaining to the current topic. Your activities during this session count 50% towards your grade. The other 50% will be based on a term paper that will use some of the knowledge gained in this course.
Lab session time and location: Fridays 3-4:30 pm, in 100 Powell-Booth. You should send the pdfs of your completed exercises to the instructor.
Class coordinated by
S. George Djorgovski, rm. 374 Cahill, ph. x-4415, and rm. 200C Powell-Booth,
This page: http://www.astro.caltech.edu/~george/ay119/
Last changed: 15 Apr 2016, SGD