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Avis et commentaires pour d'étudiants pour Data-driven Astronomy par Université de Sydney

4.8
étoiles
1,225 évaluations

À propos du cours

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....

Meilleurs avis

SK

10 sept. 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 févr. 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

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251 - 275 sur 353 Avis pour Data-driven Astronomy

par Barbara R

1 mars 2021

par Tatiana S

10 sept. 2019

par ZIHAN Z

23 août 2018

par Clovis G

21 juin 2021

par Biswaraj P

18 mai 2021

par Ross N

23 août 2018

par Muhammad B K

5 nov. 2019

par Krishna D

10 déc. 2021

par Ujwal K

18 juin 2020

par Khalid M

25 juil. 2020

par Blaye N

22 juil. 2019

par RK

2 nov. 2019

par Pepe G

4 nov. 2020

par Anurag A

14 sept. 2017

par Chien N

22 juin 2021

par Stephen G

24 sept. 2017

par Hugh K

14 oct. 2022

par Harshita M

23 juil. 2020

par Kendrick A M

27 févr. 2018

par Дмитрий З

7 févr. 2022

par Francisco J G R

25 juil. 2021

par In A

15 déc. 2019

par Serhii M

19 mars 2020

par Надежда

13 août 2017

par William M

17 sept. 2021