Who is this class for: This course is aimed at science students with an interest in computational approaches to problem solving, people with an interest in astronomy who would like to learn current research methods, or people who would like to improve their programming by applying it to astronomy examples.


Created by:  The University of Sydney

  • Tara Murphy

    Taught by:  Tara Murphy, Associate Professor

    School of Physics

  • Simon Murphy

    Taught by:  Simon Murphy, Postdoctoral Researcher

    School of Physics
LevelIntermediate
Commitment6 weeks of study, 4-6 hours/week
Language
English
Hardware ReqYou'll need to have a computer with internet access.
How To PassPass all graded assignments to complete the course.
User Ratings
4.9 stars
Average User Rating 4.9See what learners said
Syllabus

FAQs
How It Works
Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Help from Your Peers
Help from Your Peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

Certificates
Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

Creators
The University of Sydney
The University of Sydney is one of the world’s leading comprehensive research and teaching universities, consistently ranked in the top 1 percent of universities in the world. In 2015, we were ranked 45 in the QS World University Rankings, and 100 percent of our research was rated at above, or well above, world standard in the Excellence in Research for Australia report.
Ratings and Reviews
Rated 4.9 out of 5 of 51 ratings

The course is fantastic for those who want to work in the field of high-energy astrophysics. Many useful skills are taught during the course and many interesting activities are proposed. I highly recommend it.

Astronomy, Python, and SQL ... like all my favorite friends in the same place!

I thought this class was a great application of Python Programming to an interesting topic that I otherwise would not have learned. However, coming from a computer science background, the programming was pretty easy. If you are looking to strictly learn more about programming, I would suggest a more difficult course.

Thank you for a very interesting, educational, and ofttimes challenging course. I suspect the instructors and mentors have introduced me to only the tip of the iceberg - 98% of data-driven astronomy lies below the surface and inside enormous datasets/databases. It almost makes me wish life had taken a different course and brought me to this fascinating subject. I would look forward to any further courses from you.