課程信息
4.9
258 ratings
82 reviews
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....
Globe

100% 在線課程

立即開始,按照自己的計劃學習。
Calendar

可靈活調整截止日期

根據您的日程表重置截止日期。
Intermediate Level

中級

Clock

建議:6 weeks of study, 4-6 hours/week

完成時間大約為19 小時
Comment Dots

English

字幕:English

您將獲得的技能

Python ProgrammingMachine LearningApplied Machine LearningSQL
Globe

100% 在線課程

立即開始,按照自己的計劃學習。
Calendar

可靈活調整截止日期

根據您的日程表重置截止日期。
Intermediate Level

中級

Clock

建議:6 weeks of study, 4-6 hours/week

完成時間大約為19 小時
Comment Dots

English

字幕:English

教學大綱 - 您將從這門課程中學到什麼

1

章節
Clock
完成時間為 4 小時

Thinking about data

This module introduces the idea of computational thinking, and how big data can make simple problems quite challenging to solve. We use the example of calculating the median and mean stack of a set of radio astronomy images to illustrate some of the issues you encounter when working with large datasets. ...
Reading
8 個視頻(共 30 分鐘), 1 個閱讀材料, 4 個測驗
Video8 個視頻
Course overview2分鐘
Pulsars3分鐘
Diving in: imaging stacking5分鐘
Challenge: the median doesn't scale2分鐘
The solution: improving your method3分鐘
Module summary1分鐘
Interview with Aris Karastergiou6分鐘
Reading1 個閱讀材料
Further reading10分鐘
Quiz1 個練習
Pulsars: test your understanding10分鐘

2

章節
Clock
完成時間為 4 小時

Big data makes things slow

In this module we explore the idea of scaling your code. Some algorithms scale well as your dataset increases, but others become impossibly slow. We look at some of the reason for this, and use the example of cross-matching astronomical catalogues to demonstrate what kind of improvements you can make. ...
Reading
7 個視頻(共 35 分鐘), 3 個測驗
Video7 個視頻
Supermassive black holes3分鐘
What is cross-matching?4分鐘
Evaluating time complexity5分鐘
A (much) faster algorithm6分鐘
Module summary2分鐘
Interview with Brendon Brewer8分鐘
Quiz1 個練習
Supermassive black holes: test your understanding10分鐘

3

章節
Clock
完成時間為 4 小時

Querying your data

Most large astronomy projects use databases to manage their data. In this module we introduce SQL - the language most commonly used to query databases. We use SQL to query the NASA Exoplanet database and investigate the habitability of planets in other solar systems....
Reading
7 個視頻(共 35 分鐘), 3 個測驗
Video7 個視頻
Exoplanets4分鐘
Querying database with SQL4分鐘
More advanced SQL4分鐘
Joining tables in SQL6分鐘
Module summary2分鐘
Interview with Jon Jenkins8分鐘
Quiz1 個練習
Exoplanets - test your understanding10分鐘

4

章節
Clock
完成時間為 4 小時

Managing your data

This module introduces the basic principles of setting up databases. We look at how to set up new tables, and then how to combine Python and SQL to get the best out of both approaches. We use these tools to explore the life of stars in a stellar cluster. ...
Reading
6 個視頻(共 29 分鐘), 3 個測驗
Video6 個視頻
The lifecycle of stars6分鐘
Setting up your own database5分鐘
Exploring a star cluster4分鐘
Module summary2分鐘
Interview with Emily Petroff6分鐘
Quiz1 個練習
Stars - test your understanding10分鐘
4.9
Direction Signs

17%

完成這些課程後已開始新的職業生涯
Briefcase

83%

通過此課程獲得實實在在的工作福利

熱門審閱

創建者 GMJun 30th 2017

Great course with a good balance of code and the rewards to be had from understanding how the code works - proved to be an excellent introduction to Astronomy and confidence builder in Python.

創建者 JMJul 15th 2017

One of the best courses I've done on Coursera. Just enough astronomy to understand the problems, and then go into the exercises in a step by step way, building up complexity. Couldn't stop!

講師

Tara Murphy

Associate Professor
School of Physics

Simon Murphy

Postdoctoral Researcher
School of Physics

關於 The University of Sydney

The University of Sydney is one of the world’s leading comprehensive research and teaching universities, consistently ranked in the top 1 percent of universities in the world. In 2015, we were ranked 45 in the QS World University Rankings, and 100 percent of our research was rated at above, or well above, world standard in the Excellence in Research for Australia report....

常見問題

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • We assume you are familiar with basic programming in a modern programming language including variables, control structures, data structures, functions, and working with files. In this course we will use Python 3.

    We'll walk through all the examples and provide lots of support, so jump in and have a go. If haven't done any programming for a while, you might want to brush up before you start.

還有其他問題嗎?請訪問 學生幫助中心