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Data-driven Astronomy, The University of Sydney

4.9
289 個評分
86 個審閱

課程信息

Science is undergoing a data explosion, and astronomy is leading the way. Modern telescopes produce terabytes of data per observation, and the simulations required to model our observable Universe push supercomputers to their limits. To analyse this data scientists need to be able to think computationally to solve problems. In this course you will investigate the challenges of working with large datasets: how to implement algorithms that work; how to use databases to manage your data; and how to learn from your data with machine learning tools. The focus is on practical skills - all the activities will be done in Python 3, a modern programming language used throughout astronomy. Regardless of whether you’re already a scientist, studying to become one, or just interested in how modern astronomy works ‘under the bonnet’, this course will help you explore astronomy: from planets, to pulsars to black holes. Course outline: 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 Each week will also have an interview with a data-driven astronomy expert. Note that some knowledge of Python is assumed, including variables, control structures, data structures, functions, and working with files....

熱門審閱

創建者 GM

Jun 30, 2017

Great course with a good balance of code and the rewards to be had from understanding how the code works - proved to be an excellent introduction to Astronomy and confidence builder in Python.

創建者 JM

Jul 15, 2017

One of the best courses I've done on Coursera. Just enough astronomy to understand the problems, and then go into the exercises in a step by step way, building up complexity. Couldn't stop!

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84 個審閱

創建者 Jordi Guillaumes Pons

Dec 10, 2018

Pretty good introduction to both Big Data treatment and modern astronomy!

創建者 Ayush Nigade

Oct 21, 2018

I finished this course today. If you want to learn advanced concepts like machine learning, decision tree classification, SQL, and more; then this is the course for you! I'm a senior in high school, and I'm going to major in Astrophysics. If you love Computer Science this will be an interesting course, as it will show the applications of CS to Astronomy.

創建者 Pavel Karateev

Oct 20, 2018

Overall the course is great, I highly recommend it to astronomers who want to learn some new tricks in data science. Meanwhile, it is not so useful for everyone else - lections are super brief and superficial, coding assignments are very easy and not challenging at all, not only you have a pretty self-explanatory template (do A, do B), but it is possible to view a complete solution right away, which is rather strange approach.

創建者 Antoni Celiá Miró

Oct 07, 2018

I've really enjoyed this course! There are a lot of new things to learn in it. Just to say something not so good from my point of view is that in the exercises sometimes the libraries or code to use could be a bit more explained or documented. But in general it's very good. I recommend it.

創建者 Erin Desmond

Sep 30, 2018

Excellent. Teaching is thorough and concise, the quizzes and external coding problems are challenging enough but not overwhelming. A great course.

創建者 Sourabh Desai

Sep 25, 2018

Completed the course 2 days ago. It was an amazing experience of learning. I was overwhelmed by all practical examples and implementations. I would recommend this course to everyone in either astrophysics field.

創建者 Santiago Martin Zubieta Ortiz

Sep 08, 2018

Just finished this wonderful course, it teaches (mostly in Python) the basics of how to apply certain techniques of data handling, processing, and analysis, in the realm of Astronomy, which has vast amounts of collected data and which I've loved all my life as a hobbyist! This knowledge is very useful and can be extended to many other scientific fields. The course has a great mix of theory and hands-on exercises (with a great supporting online coding platform), and encourages people to continue reading and experimenting on their own.

創建者 Stavroula Eleftherakis

Sep 07, 2018

For anyone intrested in Astrostats & Astroinformatics, highly recommended!

創建者 Adrian White

Sep 01, 2018

Loved the mix of theory and hands-on. Very well balanced. Great learning outcomes. Loved that it went as far as to include simple ML into the syllabus. This has made me want to get back into real computational physics again!

創建者 Craig Tanswell

Aug 28, 2018

Really good basic intro to data analysis, particularly applying this to the astronomical domain.