Faculty of Engineering and Natural Sciences
Department of Electrical and Electronic Engineering

Code Name Level Year Semester
EEE 313 Fundamentals of Biomedical Engineering Undergraduate 3 Fall
Status Number of ECTS Credits Class Hours Per Week Total Hours Per Semester Language
5 256 English

Instructor Assistant Coordinator
Jasmin Kevrić, Assoc. Prof. Dr. Jasmin Kevrić, Assoc. Prof. Dr.
[email protected] no email

In general terms this course is designed to accomplish the following:
1)Understand basic electric circuits and their usage for amplification and filtering of biological signals
2)Learn the principles of interfacing with the living systems for collection of biological signals
3)Learn the origins of biopotentials and their characteristics in time and frequency domain
4)Apply modern engineering tools to collect, analyze and interpret biological signals

  1. Biomedical engineering: a historical perspective
  2. Anatomy and physiology
  3. Bioinstrumentation
  4. Biomedical sensors
  5. Biosignal processing
  6. Bioelectric phenomena
  7. Principles of Electrocardiography
  8. Principles of Electromyography
  9. Principles of Electroencephalography
  10. Evoked Potential and BCI
  11. Physiology and measurement of ENG, ERG, EOG and PERG
  12. Physiology and measurement of Blood pressure
  13. Radiation & medical imaging
  14. Machine Learning in Biomedical Signal Processing


    • Lectures
    • Practical Sessions
    • Excersises
    • Presentation
    • Seminar
    • Project
    • Assignments
    • Case Studies
    • Demonstration
    Description (%)
    Method Quantity Percentage (%)
    Midterm Exam(s)20
    Final Exam130
    Total: 100
    Learning outcomes
    • Demonstrate a systematic and critical understanding of the theories, principles and practices of computing
    • Critically review the role of a “professional computing practitioner” with particular regard to an understanding of legal and ethical issues
    • Creatively apply contemporary theories, processes and tools in the development and evaluation of solutions to problems and product design
    • Actively participate in, reflect upon, and take responsibility for, personal learning and development, within a framework of lifelong learning and continued professional development; Present issues and solutions in appropriate form to communicate effectively with peers and clients from specialist and non-specialist backgrounds
    • Work with minimum supervision, both individually and as a part of a team, demonstrating the interpersonal, organisation and problem-solving skills supported by related attitudes necessary to undertake employment.
    • John D. Enderle, Susan M. Blanchard, Joseph D. Bronzino,INTRODUCTION TO BIOMEDICALENGINEERING, Second Edition, Elsevier Academic Press, 2005.

    ECTS (Allocated based on student) WORKLOAD
    Activities Quantity Duration (Hour) Total Work Load
    Lecture (14 weeks x Lecture hours per week)464256
    Laboratory / Practice (14 weeks x Laboratory/Practice hours per week) 0
    Midterm Examination (1 week) 0
    Final Examination(1 week) 0
    Preparation for Midterm Examination 0
    Preparation for Final Examination50
    Total Workload: 256
    ECTS Credit (Total workload/25): 10