The aim of this course is to introduce students to iterative decoding algorithms and the codes to which they are applied, including Turbo Codes, Low-Density Parity-Check Codes, and Serially-Concatenated Codes. The course will begin with an introduction to the fundamental problems of Coding Theory and their mathematical formulations. This will be followed by a study of Belief Propagation–the probabilistic heuristic which underlies iterative decoding algorithms.
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 needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
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: MIT
|Analysis of Repetition Code Meta-channel||00:05:00|
|Prior, Extrinsic and Posterior Probabilities, II||00:10:00|
|Belief Propagation on Trees||00:05:00|
|Representing Probabilities, Equality Nodes||00:05:00|
|The Binary Erasure Channel||00:10:00|
|Remarks on Convolutional Codes||00:10:00|
|Developments in Iterative Decoding||00:05:00|
|Submit Your Assignment||00:00:00|
No Reviews found for this course.