課程信息
An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices. Recent advances in data science are transforming the life sciences, leading to precision medicine and stratified healthcare. In this course, you will learn about some of the different types of data and computational methods involved in stratified healthcare and precision medicine. You will have a hands-on experience of working with such data. And you will learn from leaders in the field about successful case studies. Topics include: (i) Sequence Processing, (ii) Image Analysis, (iii) Network Modelling, (iv) Probabilistic Modelling, (v) Machine Learning, (vi) Natural Language Processing, (vii) Process Modelling and (viii) Graph Data. Watch the course promo video here: http://edin.ac/2pn350P
Globe

100% 在線課程

立即開始,按照自己的計劃學習。
Intermediate Level

中級

Clock

完成時間大約為19 小時

建議:5 weeks of study, 3-4 hours/week
Comment Dots

English

字幕:English
Globe

100% 在線課程

立即開始,按照自己的計劃學習。
Intermediate Level

中級

Clock

完成時間大約為19 小時

建議:5 weeks of study, 3-4 hours/week
Comment Dots

English

字幕:English

Syllabus - What you will learn from this course

1

Section
Clock
4 hours to complete

Welcome to the Course

Join us this week to find out how the course works and to try your hand at programming in Python!...
Reading
7 videos (Total 52 min), 7 readings, 1 quiz
Video7 videos
About the Course2m
Demystifying Data Science4m
Python Basics Part 19m
Python Basics Part 25m
Professor Andrew Morris12m
Professor Aileen Keel15m
Reading7 readings
Syllabus10m
Course Logistics10m
How to use the Discussion Forums10m
Course Team10m
Acknowledgements10m
Copyright10m
How to use Jupyter Notebooks10m
Quiz1 practice exercises
Quiz 120m

2

Section
Clock
2 hours to complete

WELCOME TO WEEK 2

This week you will be introduced to Sequence Processing and Medical Image Analysis. Explore the course materials to find out about recent advances in these areas and how they contribute to Precision Medicine!...
Reading
9 videos (Total 53 min), 1 quiz
Video9 videos
DNA and Sequencing3m
Modelling the Data3m
Conclusion4m
Professor Tim Aitman13m
Professor David Porteous11m
Introduction1m
Medical Imaging Data & Modalities7m
Analysing Medical Images5m
Quiz1 practice exercises
Quiz 220m

3

Section
Clock
4 hours to complete

WELCOME TO WEEK 3

This week you will learn about Probabilistic and Network Modelling, and how they are applied to biomedicine. You will also be introduced to Machine Learning and explore the opportunities it brings to the medical field....
Reading
11 videos (Total 43 min), 1 reading, 2 quizzes
Video11 videos
Representing Networks3m
Biological Networks5m
Conclusion2m
Introduction2m
Statistical Methods in Medical Research4m
Conclusion3m
Introduction1m
Supervised Learning10m
Unsupervised Learning5m
Conclusion1m
Reading1 readings
How the Programming Assignment works10m
Quiz2 practice exercises
Quiz 320m
Programming Assignment Quiz20m

4

Section
Clock
2 hours to complete

WELCOME TO WEEK 4

This week you will discover how clinical notes and other free-form text can be analysed with the use of Natural Language Processing techniques. You will also find out how Process Modelling can help us understand, stratify and improve healthcare processes....
Reading
9 videos (Total 57 min), 1 reading, 1 quiz
Video9 videos
Tasks10m
Computational Methods4m
Angus McCann from IBM7m
Introduction2m
Modelling Processes6m
Analysing Processes6m
Process Mining2m
Rodrigo Barnes from Aridhia13m
Reading1 readings
IBM Watson10m
Quiz1 practice exercises
Quiz 420m

5

Section
Clock
5 hours to complete

WELCOME TO WEEK 5

In this final week of the course you will learn how the Graph Data model allows for effective linkage of different data in the life sciences. You will also explore societal, legal and ethical implications of precision medicine and stratified healthcare....
Reading
7 videos (Total 40 min), 3 readings, 2 quizzes
Video7 videos
Graph Data & RDF6m
Ontologies & Graph Data Conclusion5m
Dr Steve Pavis8m
Professor Mark Parsons8m
Society, Law and Ethics5m
Course Conclusion2m
Reading3 readings
SPARQL Querying10m
General Data Protection Regulation (GDPR)10m
Research Ethics10m
Quiz1 practice exercises
Quiz 520m
4.6

Top Reviews

By SWJun 8th 2018

Great course, really well designed and well produced and I feel like I've learned a lot! The coding was a bit of a shock to the system but it was nice and challenging. Thank you to the team!

By DCJun 11th 2018

The course fulfills all my expectations, I'm looking forward to enrolling in a further version of it.

Instructors

Avatar

Dr Areti Manataki

Teaching and Research Fellow
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Dr Frances Wong

Data Science MOOC Project Lead

About The University of Edinburgh

Influencing the world since 1583, The University of Edinburgh is consistently ranked as one of the world's top 50 universities. Today, we are an established and global leader in online learning, providing degree-level education to 3,000 online students in addition to 36,000 students on-campus. We also offer a wide range of free online courses in a variety of subjects. To find out more about studying for one of our online degrees, search for ‘Edinburgh online’ or visit www.ed.ac.uk ...

Frequently Asked Questions

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