Department of Engineering
Dean:Dr. Ármann Gylfason
Email:ru@ru.is
Website:http://www.ru.is/tvd
TeachersView
MSc in Financial Engineering
Semesters:4
Years:2
ETCS:120
About majorFjármálaverkfræði er þverfagleg grein sem samþættir fjármálafræði við verkfræðilegar aðferðir, stærðfræðileg líkön, tölfræði, aðgerðagreiningu og hagnýta tölvunarfræði. Nám í fjármálaverkfræði hentar þeim sem hafa áhuga á t.d. áhættustýringu, afleiðuviðskiptum eða fjárstýringu. MSc námið er mótað að kröfum Verkfræðingafélags Íslands um fullnaðarmenntun í verkfræði.
Learning OutcomesView
Education cycle2
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Mandatory course on majorTeaching language
Optional course on majorPrerequisites for course
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Vorönn/Spring 2024
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Year
1. yearPrint
SemesterSpring 2024
Level of courseN/A
Type of courseElective
PrerequisitesNo prerequisites.
ScheduleNo schedule found.
Lecturer
Þórður Helgason
Content
Level of course:                 6. Second cycle, advanced.
Type of course:                   Elective.  Recommended elective for MSc Biomedical Engineering.
Prerequisites:                       Good knowledge of electronics, electromagnetic theory, cell and nerve physiology, information theory and signal processing.
The course begins with mathematical modelling of cell membrane voltage and it equivalent circuit. Then information processing in the nervous system is covered. Properties and design of passive and active electrodes will be presented and their applications in recording and stimulation explained. Next, the focus is on active implant design and external neural prosthesis’s, choice of materials and miniaturized electrical design with presentation of selected applications at the end of the course. Brain computer interface will be covered followed by EEG recording and analysis.  The student will learn about electrical current distribution in life tissue and its use in manipulating membrane potentials, quantitatively.  Location of epilepsy focus based on head surface recordings along with electrical stimulation in the brain. Students will work on one project (see below) chosen according to their interests.  They will present their work and deliver a report.  This material is a part of the course for all participating students.
Prerequisites for the course are a BS in engineering or equivalent, good knowledge in electronics, electromagnetic theory, cell and nerve physiology, information theory and signal processing.
Learning outcome - Objectives
At the end of the course the student should...
  • .. know and be able to apply mathematical models of action potentials, their propagation and equivalent circuits.  Also to know experiments to measure the ion currents (Hodgkin and Huxley).
  • ..know information processing in the neural system
  • ..know electrodes for picking up bio signals from the human body and for electrically stimulating cells and their equivalent circuits
  • ..have training in using the above models
  • ..know the design of active implants
  • ..know neural prosthesis’s, external and implanted
  • .. know brain-computer interfaces
  • ..know uptake, conditioning and analysis of EEG signal
  • .. know methods to locate epilepsies focus
  • .. know methods of brain stimulation for treatment of tremor and epilepsy
  • .. know the cochlear implant and second sight implants
  • .. know transcutaneous spinal cord stimulation for treatment of spasticity and facilitation of walk by high level spinal cord injury
  • ...know the technology and treatment of flaccid paralysis
Course assessment
To be announced.
Reading material
No reading material found.
Teaching and learning activities
Lectures, homeworks, discussions. Students will work on a project chosen according to their interests. Each students delivers a report, a power point presentation and gives a 40 minute lecture on his/her theme.
Language of instructionEnglish
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