Chevron Left
Zurück zu Data-driven Astronomy

Bewertung und Feedback des Lernenden für Data-driven Astronomy von The University of Sydney

4.8
Sterne
1,190 Bewertungen

Über den Kurs

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....

Top-Bewertungen

SK

10. Sep. 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. Feb. 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

Filtern nach:

301 - 325 von 348 Bewertungen für Data-driven Astronomy

von Rohit N

11. Juni 2019

von Jiqing H

11. Juni 2019

von Israel d S R d A

7. Feb. 2020

von Renato T

31. Juli 2020

von 唐怀金

23. Apr. 2019

von Kristina

19. Apr. 2017

von Фионов А С

28. Sep. 2022

von Nikhil G M

13. Juni 2020

von Victor M

17. Mai 2017

von Tomislav P

27. Jan. 2020

von Abel C D

9. Juni 2020

von Kavan P

25. Sep. 2020

von Pavel K

20. Okt. 2018

von Ioannis A

4. März 2022

von Rene F

4. Sep. 2017

von Adam S

25. Juni 2017

von Antoni C M

7. Okt. 2018

von Antonio P

29. Aug. 2020

von Doug

28. Jan. 2018

von ganesh n

6. März 2022

von Roberto G

30. Juni 2020

von Archana B

10. Juli 2020

von Apoorv S

17. Apr. 2021

von K S R

25. Sep. 2019

von Vibha

8. Dez. 2019