ACADEMICS
Course Detail

ELE 792 Bioelectricity
2017-2018 Fall term information

The course is not open this term

Timing data are obtained using weekly schedule program tables. To make sure whether the course is cancelled or time-shifted for a specific week one should consult the supervisor and/or follow the announcements.

Course definition tables are extracted from the ECTS Course Catalog web site of Hacettepe University (http://ects.hacettepe.edu.tr) in real-time and displayed here. Please check the appropriate page on the original site against any technical problems.

ELE792 - BIOELECTRICITY

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
BIOELECTRICITY ELE792 Any Semester/Year 3 0 3 10
Prerequisite(s)
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Question and Answer
Problem Solving
 
Instructor (s)Assoc.Prof.Dr. Atila Yżlmaz 
Course objectiveIt is aimed to give the following topics to the students : - Nerve cells - Electrical parameters of the cells and transmission theory - Nerve cells and action potential - Bioelectric events in the heart and in the brain - Electrocardiography (ECG) - Electroenecephalography (EEG) - Forward and inverse problems  
Learning outcomes
  1. To explain cells in anatomical and physiological aspects
  2. To perform simulations in nernst equation and action potential
  3. To outline data collection and signal processing in ECG and EEG
  4. To solve forward problem in simple geometry and few electrical parameters
  5. To solve inverse problem in simple geometry and few electrical parameters
Course ContentCells, tissues an organs
Electrical system modelling and response of parts of the tissues
Bioelecrical problem solution in three dimensional body structures
Basic signal processing in electrical activities of the heart and brain
Forward problem solution
Inverse problem solution
 
ReferencesR. Plonsey, D.G. Fleming, "Bioelectric Phenmena", McGraw-Hill Book Co. Ing., 1969.
J.G. Webster, "Electrical Impedance Tomography", Adam Hilger, 1990.
J. Malmivuo, R. Plonsey, "Bioelectromagnetism", Owford University Press, 1995.
J. D. Bronziona, "Biomedical Engineering Handbook", IEEE Press, 1995.
 

Course outline weekly

WeeksTopics

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments00
Presentation00
Project00
Seminar00
Midterms140
Final exam160
Total100
Percentage of semester activities contributing grade succes040
Percentage of final exam contributing grade succes060
Total100

Workload and ECTS calculation

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)1414196
Presentation / Seminar Preparation000
Project000
Homework assignment000
Midterms (Study duration)13030
Final Exam (Study duration) 14040
Total Workload3087308

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Has highest level of knowledge in certain areas of Electrical and Electronics Engineering.   X 
2. Has knowledge, skills and and competence to develop novel approaches in science and technology.    X
3. Follows the scientific literature, and the developments in his/her field, critically analyze, synthesize, interpret and apply them effectively in his/her research.    X
4. Can independently carry out all stages of a novel research project.  X  
5. Designs, plans and manages novel research projects; can lead multidisiplinary projects.  X  
6. Contributes to the science and technology literature.  X  
7. Can present his/her ideas and works in written and oral forms effectively; in Turkish or English.  X  
8. Is aware of his/her social responsibilities, evaluates scientific and technological developments with impartiality and ethical responsibility and disseminates them.   X 

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

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