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學生對 悉尼大学 提供的 Data-driven Astronomy 的評價和反饋

4.8
539 個評分
170 條評論

課程概述

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....

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TS

Dec 15, 2019

This is a great course for anyone wanting to do data science with astronomical datasets. The lectures are clear and interesting and the activities are well structured. I really enjoyed this course!

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.

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151 - Data-driven Astronomy 的 167 個評論(共 167 個)

創建者 Antoni C M

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 Doug

Jan 29, 2018

Good course, with fun examples to work with. I'm not an astronomer, and mainly took the course for fun,but the things I've learned here will be useful for my own research. About the only thing I would have liked to see was more background material on each topic.

創建者 K S R

Sep 25, 2019

A really good course covering a variety of subjects in both astronomy and data analysis which is exactly the combination I was looking for. A final exercise covering all the topics taught would have been a fitting end to the course.

創建者 Vibha

Dec 08, 2019

Well-taught, good supporting resources, and heavily rooted in application. The external grading tool exceeded expectations as well. Next time, would prefer more of the code being explained by the instructors.

創建者 Federico T

Jul 24, 2017

A good introduction in Data Astronomy with Python. I missed some lessons about python to finish some of the volunteer exercises and some contact with astronomy data from the web, but it is a great course.

創建者 Gautam B

Apr 22, 2017

Great and quick way to learn things. Thanks for the troubles taken to put this together. Some of the computational exercises could do with a little more clarity of language. But, overall, Great!

創建者 Francisco

May 15, 2019

Interesting introduction to machine-learning techniques applied to astronomical data. I think very adapted to astronomers willing to learn about this topic or to astronomy students.

創建者 GAVIN W

Sep 30, 2019

If you want to learn Python and a bit of Machine Learning in the context of Astronomy then this is a great course to give your skills a boost and learn more about modern Astronomy.

創建者 John I

Aug 31, 2019

I enjoyed the course.

The only issue was with a couple of the python labs not having the data to try within my own environment.

創建者 Ignacio d L A G

Dec 27, 2019

He aprendido cosas, hasta ahora, desconocidas para mi. Me ha abierto la curiosidad por investigar

創建者 Anand K

Jan 31, 2020

So the course is of introductory type. Not much in depth. Great for beginners in Data Science.

創建者 Alastair K

Jan 07, 2018

great course with practical python programming. very informative and easy to follow

創建者 Jordi G P

Dec 10, 2018

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

創建者 Enrique J E B

Sep 08, 2019

Nice introduction to machine learning using an interesting topic.

創建者 Antariksha M

Sep 10, 2019

Great Learning

創建者 Peregrine D

May 13, 2019

A decent introductory course. The weeks follow themes and are not indicative of a suggested timeline.

創建者 Robert N

Nov 25, 2017

Sorry, but this course was one of the weakest I have followed.