Schedule: 08.01.2020 - 08.04.2020
Contact information for the course (applies in this implementation):
General issues concerning the course: Responsible techer: Markus Turunen, email: email@example.com
Lecture content related issues: Please contact directly the teacher of the given lecture.
Do not hesitate to contact us, we are happy to help you in learning the things of this course.
Teaching Period (valid 01.08.2018-31.07.2020):
III-IV 2019-2020 (spring)
Learning Outcomes (valid 01.08.2018-31.07.2020):
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
Content (valid 01.08.2018-31.07.2020):
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 01.08.2018-31.07.2020):
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)
Final examination (in the end of the course)
Elaboration of the evaluation criteria and methods, and acquainting students with the evaluation (applies in this implementation):
The detailed list of small assigments, and surveys are presented on the opening lecture. The evaluation is a slightly different from the above e.g. there is no seminar presentation. It is replaced by small literature survey on a topic of lecture of your choice.
Workload (valid 01.08.2018-31.07.2020):
30 h contact teaching, 105 h independent studies, approximately 10 % compulsory presence (exercises)
Study Material (valid 01.08.2018-31.07.2020):
Will be announced during the course
Course Homepage (valid 01.08.2018-31.07.2020):
Prerequisites (valid 01.08.2018-31.07.2020):
Bachelor's degree either in electronics or bioinformatioin technology (or equivalent)
Grading Scale (valid 01.08.2018-31.07.2020):
Registration for Courses (valid 01.08.2018-31.07.2020):
Further Information (valid 01.08.2018-31.07.2020):
Language class 3 English