This course teaches you about the simplest differential equations related to exponential decay and how to use them in dynamical systems. Every mechanisms decay with respect to time. It is the law of nature. So when time increases, the decaying increases too.
But he exponential decaying of systems only depends on the ‘X’ factor and not on time in any dynamical system. This is a straightforward easy course where you will solve linear equations.
Assessment
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer need to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
Certification
Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.
Having an Official Edukite Certification is a great way to celebrate and share your success. You can:
- Add the certificate to your CV or resume and brighten up your career
- Show it to prove your success
Course Credit: Wilmington University
Course Curriculum
| 1A – Exponential Decay (pt 1 of 2) | 00:06:00 | ||
| 1A – Exponential Decay (pt 2 of 2) | 00:05:00 | ||
| 1B – Modeling Proteins that Switch Between States | 00:08:00 | ||
| 1D – Steady State of a System (Protein Switching) | 00:08:00 | ||
| 1E – Separation of Variables (Solving Protein Switching) | 00:09:00 | ||
| 1F – Time Constant of Protein Switching | 00:10:00 | ||
| 2A – Membrane Potential Introduction | 00:09:00 | ||
| 2B – The Membrane Equation (Passive Neuron) | 00:09:00 | ||
| 2C – Separation of Variables (Solving Passive Membrane) | 00:04:00 | ||
| 2D – Injecting Current Into a Passive Membrane | 00:06:00 | ||
| 2E- Response to a Current Step | 00:07:00 | ||
| 2F – Numerically Solving the Membrane Equation | 00:10:00 | ||
| 2G – Linear Systems Analysis of Passive Membrane (part 1 of 2) | 00:08:00 | ||
| 2G – Linear Systems Analysis of Passive Membrane (part 2 of 2) | 00:08:00 | ||
| 2H – Numerical Simulations Intro | 00:06:00 | ||
| 2I – Low-Pass Filtering Properties of a Passive Membrane | 00:10:00 | ||
| 2J – Filtering Pink Noise | 00:03:00 | ||
| 2K – Passive Membrane Simulation Code | 00:09:00 | ||
| 3A – Intro to Conductance-Based Models | 00:08:00 | ||
| 3B – Hodgkin Huxley Channel Models | 00:10:00 | ||
| 3C – Hodgkin-Huxley Squid Axon Model | 00:10:00 | ||
| 3D – Numerical Integration Method for Conductance-Based Models | 00:10:00 | ||
| 3E – Hodgkin-Huxley simulation examples | 00:05:00 | ||
| 3F – Multi-compartment conductance-based models | 00:09:00 | ||
| 3G – Parameter Fitting in Conductance-Based Models | 00:10:00 | ||
| Assessment | |||
| Submit Your Assignment | 00:00:00 | ||
| Certification | 00:00:00 | ||
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