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Digital communication is a method of communication through using the modern communication systems such as the utilization of computers and the internet. Anything is possible when communication through these digital platforms as long as you understand how to utilize its functions.

You are provided in this Digital Communications Diploma with the theory and practices of communications. These principles will help you understand digital communications at the block diagram level and data compression.

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 needs 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 the 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

Course Curriculum

Module: 1
Lecture 1: Introduction 01:20:00
Lecture 2: Discrete Source Encoding 01:19:00
Lecture 3: Memory-less Sources 01:10:00
Lecture 4: Entropy and Asymptotic Equipartition Property 01:21:00
Lecture 5: Markov Sources 01:19:00
Lecture 6: Quantization 01:20:00
Module: 2
Lecture 7: High Rate Quantizers and Waveform Encoding 01:10:00
Lecture 8: Measure 01:20:00
Lecture 9: Discrete-Time Fourier Transforms 01:17:00
Lecture 10: Degrees of Freedom 01:19:00
Lecture 11: Signal Space 01:23:00
Lecture 12: Nyquist Theory 01:21:00
Module: 3
Lecture 13: Random Processes 01:15:00
Lecture 14: Jointly Gaussian Random Vectors 01:21:00
Lecture 15: Linear Functionals 01:18:00
Lecture 16: Review; Introduction to Detection 01:12:00
Lecture 17: Detection for Random Vectors and Processes 01:08:00
Lecture 18: Theory of Irrelevance 01:13:00
Module: 4
Lecture 19: Baseband Detection 01:17:00
Lecture 20: Introduction of Wireless Communication 01:17:00
Lecture 21: Doppler Spread 01:17:00
Lecture 22: Discrete-Time Baseband Models for Wireless Channels 01:11:00
Lecture 23: Detection for Flat Rayleigh Fading and Incoherent Channels 01:04:00
Lecture 24: Case Study on Code Division Multiple Access 01:10:00
Assessment
Submit Your Assignment 00:00:00
Certification 00:00:00

Course Reviews

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