Key Information
About the content
This is an intensive, advanced summer school (in the sense used by scientists) in some of the methods of computational, data-intensive science. It covers a variety of topics from applied computer science and engineering, and statistics, and it requires a strong background in computing, statistics, and data-intensive research.
Syllabus
The anticipated schedule of lectures (subject to changes):
Each bullet bellow corresponds to a set of materials that includes approximately 2 hours of video lectures, various links and supplementary materials, plus some on-line, hands-on exercises.
3. Introduction to R. Markov Chain Monte Carlo.
4. Statistical resampling and inference.
5. Databases.
6. Data visualization.
7. Clustering and classification.
8. Decision trees and random forests.
9. Dimensionality reduction. Closing remarks.
Instructors
- Amy Braverman - Jet Propulsion Laboratory (JPL)
- Thomas Fuchs - Jet Propulsion Laboratory (JPL)
- Julian Bunn - Center for Data-Driven Discovery
- Chris Mattmann - Jet Propulsion Laboratory (JPL)
- Santiago Lombeyda - Center for Data-Driven Discovery
- Ciro Donalek
- Daniel Crichton - Jet Propulsion Laboratory (JPL)
- Richard Doyle - Jet Propulsion Laboratory (JPL)
- Ashish Mahabal
- David Thompson - Jet Propulsion Laboratory (JPL)
- Scott Davidoff - Jet Propulsion Laboratory (JPL)
- S. Djorgovski - Astronomy
- Matthew Graham
Content Designer
Platform
Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California.
Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.
