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Course unit, curriculum year 2023–2024
BBT.INT.809

Cell Imaging and Signal Processing, 5 cr

Tampere University
Teaching periods
Active in period 2 (23.10.2023–31.12.2023)
Course code
BBT.INT.809
Language of instruction
English
Academic years
2021–2022, 2022–2023, 2023–2024
Level of study
Advanced studies
Grading scale
General scale, 0-5
Persons responsible
Responsible teacher:
Olli Yli-Harja
Responsible teacher:
Meenakshisundaram Kandhavelu
Responsible organisation
Faculty of Medicine and Health Technology 100 %
Coordinating organisation
MET Studies 100 %
Common learning outcomes
International outlook and global responsibility
Core content
  • Defining the area of single cell signal processing for health and biology, key terminology, needs and benefits.
  • Applications of signal processing in systems biology and health informatics, and their key benefits.
Complementary knowledge
  • Current topics in single cell signal processing methods in health informatics research.
  • Examples of applications with key benefits.
Learning outcomes
Prerequisites
Further information
Equivalences
Studies that include this course
Completion option 1
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.

Participation in teaching

23.10.2023 11.12.2023
Active in period 2 (23.10.2023–31.12.2023)