Lessons

Unit 1:

• Week 1: What is Data Science? & Overview of Exoplanets

• Week 2: Exploratory Data Analysis & Transits

• Week 3: Model Building & Transit Timing Variations

• Week 4: Model Assessment & Radial Velocity Technique

• Week 5: Bayesian Inference & Rossiter-McLaughlin Effect

• Week 6: Explanatory Data Analysis and Mass & Orbits

• Week 7: Exam & Intro to Class Projects

• Week 8: Data Wrangling & Exoplanet Populations

• Week 9: Data Science Workflows & Transmission Spectroscopy

• Week 10: Data Storage & Emission/Reflection Spectroscopy

• Week 11: Data Visualization & Microlensing

• Week 12: Reports, Dashboards & Disks

• Week 13: Reproducible Research & Future of Exoplanet Detection

• Week 14: Thanksgiving Holiday

• Week 15: Retrospective & Future of Exoplanet Characterization

• Week 16: Student Presentations

See also labs.