BIOELECTRICITY
- Course
- BIME310 - BIOELECTRICITY
- Department
- Biomedical Engineering - English - Undergraduate
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 4
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- -
- Prerequisite
- -
- Keywords
Course Description
In this course fundamental engineering and mathematical tools to understand and analyze basic bioelectricity and circuit theory will be used in the context of the mammalian nervous system. Fundamentals of bioelectricity of the mammalian nervous system and other excitable tissues, passive and active forms of electric signals in both the single cell and cell-cell communication, tissue and systemic bioelectricity will be explained. In addition to these, mathematical analysis including Nernst equation, Goldman equation, linear cable theory, and Hodgkin-Huxley Model of action potential generation and propagation, design and build a wireless bioelectric recording device to control a prosthetic limb will be teached.
BIOELECTRICITY
Evaluation Tools (Active Term)
No evaluation items have been defined.
Course outcomes
No course outcomes have been defined yet.
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Introduction to course organisation. |
| Week 2 | Organization of central and peripheral nervous systems |
| Week 3 | Neural Circuits (knee-jerk reflex) |
| Week 4 | Cellular Electrical Signals |
| Week 5 | Resting Membrane Potential |
| Week 6 | Nernst & Goldman-Hodgkin-Katz equations |
| Week 7 | Revision |
| Week 8 | Midterm Exam |
| Week 9 | Transient inward and delayed outward currents; Temporal & Spatial aspects of signal propagating |
| Week 10 | Ion Channels, Post-synaptic Receptors; Neurotransmitters |
| Week 11 | Passive conduction; Action Potentials |
| Week 12 | The Cable Model; Time-dependent Solutions |
| Week 13 | Dipole model, Compound Action Potential, movieng and stationary sources |
| Week 14 | Revision |
| Week 15 | Final Exam |
Reference Books & Course Materials
- 01 Neuroscience Fifth Edition 5th Edition Dale Purves, George J. Augustine, David Fitzpatrick, William C. Hall, Anthony-Samuel LaMantia, Leonard E. White
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
- P01 Should have sufficient knowledge in mathematics, science, and subjects specific to the relevant engineering discipline.
- P02 Should have the ability to use theoretical and applied knowledge in mathematics, science, and related engineering disciplines in complex engineering problems.
- P03 Should have the ability to detect, define, formulate, and solve complex engineering problems.
- P04 Should have the ability to select and apply appropriate analysis and modeling methods to solve complex engineering problems.
- P05 Should have the ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions.
- P06 Should have the ability to apply modern design methods.
- P07 Should have the ability to develop, select, and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications.
- P08 Should have the ability to use information technologies effectively.
- P09 Should have the ability to design experiments, for the study of complex problems or discipline-specific research topics.
- P10 Should have the ability to conduct experiments, collect data, analyze and interpret results for the study of complex problems or discipline-specific research topics.
- P11 Should have the ability to work in intradisciplinary teams.
- P12 Should have the ability to work in interdisciplinary teams.
- P13 Should have the skills to work individually.
- P14 Should have the ability to communicate effectively verbally and in writing.
- P15 Should have the knowledge of at least one foreign language.
- P16 Should be able to write effective reports, understand written reports, and prepare design and production reports.
- P17 Should have the ability to make effective presentations.
- P18 Should have the ability to give and have clear and understandable instructions.
- P19 Should gain consciousness (awareness) about the necessity of lifelong learning.
- P20 Should have the ability to access information.
- P21 Should have the ability to follow developments in science and technology and constantly renew himself/herself.
- P22 Should gain the awareness of professional and ethical responsibility and should act in accordance with ethical principles.
- P23 Should gain knowledge about the standards used in engineering applications.
- P24 Should gain knowledge about project management, risk management, and change management practices in business life.
- P25 Should gain awareness about entrepreneurship, and innovation.
- P26 Should gain knowledge about development in sustainability.
- P27 Should gain knowledge about the effects of engineering practices on health, environment, and security at universal and social dimensions and the problems of the age reflected in the field of engineering.
- P28 Awareness should be gained about the legal consequences of engineering solutions.
Po-Lo Matrix
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