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

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877 Bewertungen
261 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

HM

Sep 18, 2020

Very Nice course, materials well explained though the programming exercises were very difficult for me, as I did not had that much in depth knowledge of python, for which I had to take additional help

SK

Sep 11, 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.

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151 - 175 von 258 Bewertungen für Data-driven Astronomy

von Ivet M

Jun 15, 2018

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

von Adel B

May 27, 2020

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

von Thomas M

Aug 14, 2019

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

von Gaston M S R

Dec 16, 2017

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

von Dr. D S

Oct 05, 2019

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

von Soham S

Jul 17, 2018

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

von Akshay A S

Jan 22, 2020

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

von aswathi a

Apr 18, 2020

THE COURSE WAS REALLY VERY HELPFUL FOR ME. IN MY STUDIES IT REALLY HELPED ME A LOT.

von Himadri S

Apr 18, 2020

Excellent course. Had real fun doing the assignments. Learned up a lot. Thank you

von hetpin

Mar 15, 2018

Highly recommended course for both astronomical and computer science students.

von Matthew P L

Jun 26, 2017

Astronomy, Python, and SQL ... like all my favorite friends in the same place!

von Denis Z

Jul 09, 2020

That was a great decision to take this course! Very educative and empowering!

von Akshay A

Sep 10, 2020

This is an amazing course for beginners in both coding as well as astronomy!

von antonio b

Nov 14, 2019

Very good Seminar! Is there a second part?

Congratulations to the professors!

von Bruno A

Apr 15, 2018

Very good course, with a very good platform for practice the lessons (Grok).

von Carlos E T H

May 05, 2020

Very interesting topic. Well paced explanations. Really enjoyed the course.

von Carlos M S

May 24, 2017

A great course you may study if you are interested in Astronomy and Python!

von Radha K M

May 19, 2020

Its awesome course with the use of practical astronomical data handling...

von Shrish

Mar 13, 2020

This was a wonderful course. Got an overall idea of data-driven astronomy.

von Anand S

Nov 02, 2019

well designed and easy to follow course for beginners. thoroughly enjoyed!

von Richard O

Apr 01, 2019

Perfect to brush up my Python skills while studying a fascinating subject!

von Stavroula E

Sep 07, 2018

For anyone intrested in Astrostats & Astroinformatics, highly recommended!

von Miguel S G

May 24, 2018

Very well driven course! Step by step you will learn it very progresively

von sakib a

Sep 02, 2020

A top-class course! Feels great to work with real-world astronomy data.

von Pablo C

Aug 22, 2019

Thats was a lot of fun! i want to learn more! Can i have a second part?