Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.
LEARNING OUTCOMES
Student becomes familiar with several biosensing technologies. Student becomes aware of the challenges in the field of biosignal analysis, and the basics of the wireless communication between implantable medical device and external reader unit. Student knows the most important biomarkers and biomolecules used in biosensors.
Substance skills: sensor technologies, signal analysis, wireless data transmission, biomolecules, physical and chemical detection mechanisms, proximity sensing technologies, mathematical problem solving using Matlab
Transferable skills: foreign languages, written and oral communication, problem solving, information collection, critical and analytical thinking
Credits: 5
Schedule: 13.01.2021 - 14.04.2021
Teacher in charge (valid 01.08.2020-31.07.2022): Tomi Laurila, Markus Turunen
Teacher in charge (applies in this implementation): Tomi Laurila, Markus Turunen
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
Valid 01.08.2020-31.07.2022:
Basics of biosensors and sensor technologies, Concept of biomarkers (both biomolecus and physical ones), basics of signal processing in bioapplications, machine learning concepts used in biosensor technologies, wireless communication between implants and outer world, basics of optical sensors and particularly surface plasmon resonance, chemical biosensing and use of nano carbon structures in precision sensor of particular biomarkers, proximitys sensing concepts.
Assessment Methods and Criteria
Valid 01.08.2020-31.07.2022:
Lectures and few exercises
1 independently written bi-weekly handouts (style of the work is journal paper)
1 individually held seminar presentation (style of the presentation is conference presentation)
Peer evaluation
Final examination (in the end of the course)
Workload
Valid 01.08.2020-31.07.2022:
30 h contact teaching, 105 h independent studies, approximately 10 % compulsory presence (exercises)
DETAILS
Study Material
Valid 01.08.2020-31.07.2022:
Will be announced during the course
Prerequisites
Valid 01.08.2020-31.07.2022:
Bachelor's degree or relevant studies either in electronics or bioinformatioin technology (or equivalent)
SDG: Sustainable Development Goals
3 Good Health and Well-being
12 Responsible Production and Consumption
FURTHER INFORMATION
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