School of Engineering \ Biomedical Engineering
Course Credit
ECTS Credit
Course Type
Instructional Language
Programs that can take the course
Biomedical Engineering Bachelor's Degree Program
BMM 207 course provides general information about Electronic Circuits in Biomedical Engineering to second year Biomedical Engineering students.
Textbook and / or References
• Electric Circuits, James W. Nilsson, Susan A. Riedel, 8th Edition. ISBN-13: 978-0131989252
• The Analysis & Design of Linear Circuits. Roland E. Thomas, Albert J. Rosa & Gregory J. Toussaint. 8th Ed. Wiley, ISBN-13: 978-1119235385
The aim of the BMM 207 course is to introduce electronic circuits to second-year Biomedical Engineering students and to enable them to analyze them. The aim of this course is to learn topics such as network and node analysis methods, circuit theorems, source transformations, op-amps, first and second order circuits, state equations, state space solution of first order circuits, RLC circuits and power analysis of alternating currents.
1. Students learn basic lumped circuit concepts,
2. They learn basic lumped elements and how to classify lumped elements and lumped circuits,
3. They learn basic properties and analysis methods of resistive circuits,
4. They interpret basic properties and analysis methods of operational amplifier circuits.
5. They analyze and understand basic properties of first-order dynamic circuits.
6. They analyze and understand basic properties of simple second-order dynamic circuits.
Week 1: Basic Concepts
Week 2: Circuit Elements, node and network analysis.
Week 3: Basic resistance circuits
Week 4: Circuit theorems, energy and power concepts. Superposition principle
Week 5: Operational Amplifiers
Week 6: Inductance and Capacitance
Week 7: Natural and step responses in series RL and RC circuits.
Week 8: Natural and step responses in parallel RL and RC circuits.
Week 9: Natural and step responses of parallel RLC circuits
Week 10: Natural and step responses of series RLC circuits
Week 11: Sinusoidal Steady State Analysis
Week 12: Active Filters
Tentative Assesment Methods
• Midterm 40 %
• Final 60 %
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