Об этом курсе: 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
Для кого этот курс: This course is aimed at learners who are familiar with the basic principles of biomedical and healthcare practice, and who have an interest in data science. Prior knowledge in computer programming or data science is not needed.
Автор: The University of Edinburgh
Преподаватели: Dr Areti Manataki, Teaching and Research Fellow
Centre for Medical Informatics
Преподаватели: Dr Frances Wong, Data Science MOOC Project Lead
College of Science and Engineering
| Уровень | Intermediate |
| Выполнение | 5 weeks of study, 3-4 hours/week |
| Язык | English |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
Программа курса
НЕДЕЛЯ 1
Welcome to the Course
Join us this week to find out how the course works and to try your hand at programming in Python!
7 видео, 7 материала для самостоятельного изучения
- Видео: About the Course
- Reading: Syllabus
- Reading: Course Logistics
- Reading: How to use the Discussion Forums
- Reading: Course Team
- Reading: Acknowledgements
- Reading: Copyright
- Видео: Demystifying Data Science
- Видео: Python Basics Part 1
- Reading: How to use Jupyter Notebooks
- Notebook: Python Basics Part 1
- Видео: Python Basics Part 2
- Notebook: Python Basics Part 2
- Видео: Professor Andrew Morris
- Видео: Professor Aileen Keel
Оцениваемый: Quiz 1
НЕДЕЛЯ 2
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!
9 видео
- Видео: DNA and Sequencing
- Видео: Modelling the Data
- Видео: Conclusion
- Видео: Professor Tim Aitman
- Видео: Professor David Porteous
- Видео: Introduction
- Видео: Medical Imaging Data & Modalities
- Видео: Analysing Medical Images
- Notebook: Image Analysis Programming Task
Оцениваемый: Quiz 2
НЕДЕЛЯ 3
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.
11 видео, 1 материал для самостоятельного изучения
- Видео: Representing Networks
- Видео: Biological Networks
- Видео: Conclusion
- Видео: Introduction
- Видео: Statistical Methods in Medical Research
- Видео: Conclusion
- Видео: Introduction
- Видео: Supervised Learning
- Видео: Unsupervised Learning
- Видео: Conclusion
- Notebook: Machine Learning Programming Task
- Reading: How the Programming Assignment works
- Notebook: Programming Assignment Notebook
Оцениваемый: Quiz 3
Оцениваемый: Programming Assignment Quiz
НЕДЕЛЯ 4
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.
9 видео, 1 материал для самостоятельного изучения
- Видео: Tasks
- Видео: Computational Methods
- Notebook: Natural Language Processing Programming Task
- Видео: Angus McCann from IBM
- Reading: IBM Watson
- Видео: Introduction
- Видео: Modelling Processes
- Видео: Analysing Processes
- Видео: Process Mining
- Видео: Rodrigo Barnes from Aridhia
Оцениваемый: Quiz 4
НЕДЕЛЯ 5
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.
7 видео, 3 материала для самостоятельного изучения
- Видео: Graph Data & RDF
- Видео: Ontologies & Graph Data Conclusion
- Reading: SPARQL Querying
- Notebook: Graph Data Programming Task
- Видео: Dr Steve Pavis
- Видео: Professor Mark Parsons
- Видео: Society, Law and Ethics
- Reading: General Data Protection Regulation (GDPR)
- Reading: Research Ethics
- Видео: Course Conclusion
Оцениваемый: Quiz 5
Оцениваемый: Final Course Assessment
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Авторы
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
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