Chevron Left
Voltar para Data-driven Astronomy

Comentários e feedback de alunos de Data-driven Astronomy da instituição Universidade de Sydney

4.8
estrelas
1,221 classificações

Sobre o curso

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....

Melhores avaliações

SK

10 de set de 2020

Really amazing course! Gave me insights into how data analysis works in the field of astronomy and how one can use different machine learning techniques to classify the huge amounts of data generated.

MC

28 de fev de 2020

Its been amazing to learn about the celestial objects, stars, galaxies. The lectures and quizzes spurred in me to explore new material online. Great hands on exercises in python and machine learning

Filtrar por:

1 — 25 de 351 Avaliações para o Data-driven Astronomy

por REINALDO L N

6 de mar de 2020

por Ayush N

21 de out de 2018

por Robert G

30 de nov de 2020

por Rodney B

28 de dez de 2020

por Gautam D

3 de dez de 2017

por avinash

21 de jun de 2018

por riccardo c

20 de jun de 2020

por Max H

14 de abr de 2018

por Arnaud D

18 de ago de 2018

por Gabriel A

4 de mar de 2020

por Diego F R M

31 de mai de 2022

por James H

20 de mar de 2020

por Andrew U

13 de fev de 2020

por Maria D

29 de mar de 2020

por Thalia J S

15 de dez de 2019

por João P M

15 de jul de 2017

por Maria S

9 de abr de 2020

por Eric H

28 de out de 2020

por Shruti P

9 de jun de 2020

por Peregrine D

13 de mai de 2019

por Tomas M

24 de out de 2020

por Jerome L

16 de out de 2017

por Ricardo S

4 de mai de 2020

por Adnan R

14 de jul de 2020

por Jonathan C

29 de dez de 2017