[ASA] Data-driven Astronomy MOOC

Tara Murphy tara at physics.usyd.edu.au
Mon Sep 4 12:40:40 AEST 2017

Hi everyone (particularly postdocs and postgrads),

6 months ago we launched our (free) MOOC on Data-driven Astronomy. We've
now had over 2000 students doing the course, and had some great student
feedback, for example:

"I absolutely loved this course. I can honestly say this is my favorite
class I've ever taken. What a perfect blend of real astronomy, programming,
Python, SQL, machine-learning, and data analysis. "


The course assumes some knowledge of Python programming (including
functions), but other than that there is no assumed knowledge. It will be
running every month, so you can do it at any time. The next session starts
on September 25th.

Please feel free to forward to anyone you know who may be interested, and
let me know if you have any questions,



*Course outline *


This 6-week course is aimed at senior undergraduate and postgraduate
students, or postdoctoral researchers who would like to learn more about
computational thinking in an astronomy context. The course covers:

*Week 1: Thinking about data*
- Principles of computational thinking
- Discovering pulsars in radio images

*Week 2: Big data makes things slow*
- How to work out the time complexity of algorithms
- Exploring the black holes at the centres of massive galaxies

*Week 3: Querying data using SQL*
- How to use databases to analyse your data
- Investigating exoplanets in other solar systems

*Week 4: Managing your data*
- How to set up databases to manage your data
- Exploring the lifecycle of stars in our Galaxy

*Week 5: Learning from data: regression*
- Using machine learning tools to investigate your data
- Calculating the redshifts of distant galaxies

*Week 6: Learning from data: classification*
- Using machine learning tools to classify your data
- Investigating different types of galaxies

Sydney Institute for Astronomy | School of Physics | Faculty of Science

Room 358, Physics Building A28
The University of Sydney | NSW | 2006
T +61 2 9351 3041
E tara at physics.usyd.edu.au

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