Chevron Left
Zurück zu Data-driven Astronomy

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

1,245 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....



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.


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:

201 - 225 von 361 Bewertungen für Data-driven Astronomy

von Caden G

21. Nov. 2020

Very relevant, topical material and some good actual hands-on practice with highly applicable techniques.

von John O

11. Juli 2019

Really interesting course.

I now need to make further study of the techniques introduced on this course.

von Omar R T C

25. Jan. 2022

Superb course. Learned a lot about astronomy, programming, algorithms, and the role of data in science.

von Daanish P

1. Mai 2020

wow, this course made my quarantine time :) thanks dr. tara and simon murphy for this beautiful course.

von Alexandra B

10. Dez. 2021

Great course! It covered a lot of relevant topics, but was still light, interesting, breezy and fun!

von Terence

15. Mai 2020

Very good module. I have learned a lot about how to analyze huge data by using computational skills.

von Daniel N H

19. Sep. 2020

Absolutely gorgeous! It has exceeded my expectations in so many levels that I can't even explain...

von Cecilia G

5. Juli 2019

Great course, does help to have a background in python so more time can be spent on the activities.

von p v k

12. Mai 2019

Outstanding presentation in making even a novice like me understand the fundamentals of the course.

von Sourabh

22. Dez. 2018

Ultimate Course,A proper mixture of Data Science,Statistics,Machine learning and Astronomy.Loved it

von Tshegofatso T

1. Jan. 2023

I enjoyed the presentation of the course. This is indeed a from zero to competent course. Thanks.

von Kusha S

6. Juni 2021

Absolutely Amazing course. Had a lot of fun doing the excersises and implementing the solutions.

von Abhas P

26. Juni 2020

Only complaint, there should be an option to save the codes we have written. Even in text format.

von Craig T

28. Aug. 2018

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

von Ivet S M

15. Juni 2018

I've enjoyed a lot this course. I've learnt a lot of things and I would recommend it to everyone


23. Mai 2022

Very good course, lot to learn about Astronomical Data Analysis. Highly Recommend to others

von Adel B

27. Mai 2020

Pretty good introductory course for applied data science on astronomy. Overall captivating!

von Thomas M

14. Aug. 2019

Excellent course. One of the best things I learned is that I need to learn statistics now.

von Denis D F

5. Mai 2021

Great course! It gives a good introduction to how big data is managed in modern astronomy

von Baibhav N

7. Feb. 2021

Excellent course

Recommended for ml applications in astrophysics and astronomy

Simply class

von Gaston M S R

15. Dez. 2017

Excellent overall Course, fantastic content, teachers and organization. We need more!!!!

von Dr. D S

5. Okt. 2019

Excellent introduction into the astronomical exploration using the methods of big data

von Soham S

17. Juli 2018

A very good introductory course on the applications of machine learning in astronomy.

von Akshay A S

22. Jan. 2020

Thorough learning opportunity, interesting design, interactive program, smart tests.

von aswathi a

18. Apr. 2020