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Online Learning Opportunities

Current Courses  |  Upcoming Courses  |  Previous Courses

Current Courses:

Science of the Solar System Thumbnail  The Science of the Solar System

Mike Brown, Professor of Planetary Astronomy

Explore the solar system using concepts from physics, chemistry, biology, and geology. Learn the latest from Mars, explore the outer solar system, ponder planets outside our solar system, and search for habitability in the universe.

  • Current and Upcoming: A new cohort begins every 10 weeks
  • Workload: 5-7 hours per week
  • Platform: Coursera


BEM1105 thumbnail Pricing Options with Mathematical Models

Jaksa Cvitanic, Professor of Mathematical Finance

An introduction to the Black-Scholes-Merton model and other mathematical models for pricing financial derivatives and hedging risk in financial markets.

  • Current session: September 18, 2016 (10 weeks)
  • Workload: ~ 10 hours per week
  • Platform: edX


Evolving Universe Thumbnail The Evolving Universe

S. George Djorgovski, Professor of Astronomy

A survey of the physical universe and its constituents, including the formation, function, and evolution of stars, galaxies, black holes, quasars, and more.

  • On-Demand: Available Now
  • Workload: Self-paced
  • Platform: Coursera


cryo-EM  Getting started with cryo-EM

Grant Jensen, Professor of Biophysics and Biology; Investigator, Howard Hughes Medical Institute

Learn the fundamental principles underlying cryo-electron microscopy (cryo-EM) starting with the basic anatomy of electron microscopes, an introduction to Fourier transforms, and the principles of image formation. Building upon that foundation, the class then covers the sample preparation issues, data collection strategies, and basic image processing workflows for all 3 basic modalities of modern cryo-EM: tomography, single particle analysis, and 2-D crystallography.

  • On-Demand: Available Now
  • Workload: Self-paced
  • Platform: Coursera

  Learning from Data

 Yaser Abu-Mostafa, Professor of Electrical Engineering and Computer Science

 This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications.

  • Current session: September 18, 2016 (10 weeks)
  • Workload: ~ 10 hours per week
  • Platform: edX


QuCrypto Thumbnail Quantum Cryptography

Thomas Vidick, Assistant Professor of Computing and Mathematical Sciences, Caltech

Stephanie Wehner, Associate Professor, QuTech, Delft University of Technology

How can you tell a secret when everyone is able to listen in? In this course, you will learn how to use quantum effects, such as quantum entanglement and uncertainty, to implement cryptographic tasks with levels of security that are impossible to achieve classically.

This interdisciplinary course is an introduction to the exciting field of quantum cryptography, developed in collaboration between QuTech at Delft University of Technology and the California Institute of Technology.

  • Current session: October 10, 2016 (10 weeks)
  • Workload: 6-8 hours per week
  • Platform: edX

Upcoming Course:

 Principles of Economics with Calculus

 Antonio Rangel, Professor of Economics and Neuroscience

Quantitative and model-based introduction to basic ideas in economics, and applications to a wide range of real world problems.  

  • Upcoming session: January 4, 2017 (10 weeks)
  • Workload: 9 hours per week
  • Platform: edX


Previous Courses: 

 Galaxies and Cosmology

S. George Djorgovski, Professor of Astronomy

An introduction to the modern extragalactic astronomy and cosmology, the physical universe, big bang, formation and evolution of galaxies, quasars, and large-scale structure.

  • Previous session: January - March, 2016
  • Workload: 6–9 hours per week
  • Platform: Coursera


BigDataThumbnail  Caltech-JPL Summer School on Big Data Analytics
S. George Djorgovski, Professor of Astronomy, and colleagues: Amy Braverman, Daniel Crichton, Scott Davidoff, Ciro Donalek, Richard Doyle, Thomas Fuchs, Matthew Graham, Ashish Mahabal, Chris Mattmann, David Thompson

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.

  • Previous session: September 2014
  • Workload: ~ 20-25 hours per week, or self-paced
  • Platform: Coursera


 Drugs and the Brain

Henry Lester, Bren Professor of Biology and Biological Engineering; Executive Officer for Neurobiology

The neuroscience of drugs for therapy, for prevention, and for recreation.  You’ll learn the prospects for new generations of medications in psychiatry, aging, and treatment of substance abuse.

  • Previous session: January - February, 2014
  • Workload: 4–6 hours per week
  • Platform: Coursera