BMT-53507 Cell Imaging and Signal Processing, 5 cr
Suitable for postgraduate studies.
Olli Yli-Harja, Meenakshisundaram Kandhavelu
|Participation in lectures, lab work and final presentation.|
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.
|1.||Defining the area of single cell signal processing for health and biology, key terminology, needs and benefits.||Current topics in single cell signal processing methods in health informatics research.|
|2.||Applications of signal processing in systems biology and health informatics, and their key benefits.||Examples of applications with key benefits.|
Ohjeita opiskelijalle osaamisen tasojen saavuttamiseksi
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.
Numerical evaluation scale (0-5)
The course exercises are mainly based on Matlab. Previous knowledge is helpful but it is not a requirement.
|BMT-53507 Cell Imaging and Signal Processing, 5 cr||BMT-53506 Single Cell Signal Processing, 5 cr|