Please note! Course description is confirmed for two academic years, 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: 11.01.2023 - 19.04.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Markus Turunen, Tomi Laurila

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    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 for whole curriculum period:

    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 for whole curriculum period:

    30 h contact teaching, 105 h independent studies, approximately 10 % compulsory presence (exercises)

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Spring III - IV
    2023-2024 Spring III - IV

    Enrollment :

    Registration for Courses on Sisu (sisu.aalto.fi).