BMT-53506 Single Cell Signal Processing, 5 cr

Additional information

Suitable for postgraduate studies.

Person responsible

Olli Yli-Harja, Meenakshisundaram Kandhavelu

Lessons

Learning Outcomes

In this course, the student will learn to: - practical experience in single cell imaging and to solve problems involving measurement data. - perform data acquisition from raw data. - independently search for information and available methods to solve practical problems. - present results, methods and conclusions in written and oral reports.

Content

Instructions for students on how to achieve the learning outcomes

The course will provide an overview on applications of single cell signal processing for health and biology. The emphasis is on computational methods for processing, analyzing and modelling of health and biological data. After the course the student will be able to: - define what are single cell signal processing methods and their application in health Informatics and which subareas they cover. - describe what is the need of single cell signal processing for health and biology. - describe some typical applications of signal processing tools for health and biology, and their benefits. - list basic signal processing methods used in these disciplines and use specific ready-made computational tools. - produce a summary of one of the current research topics in these fields.

Assessment scale:

Numerical evaluation scale (0-5)

Additional information about prerequisites
The course exercises are mainly based on Matlab. Previous knowledge is helpful but it is not a requirement.

Correspondence of content

There is no equivalence with any other courses