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Due to technology advancement, wireless communications have become very popular in the twenty-first century.

Through this [course_title], you will discover every in and out regarding wireless ad-hoc in a satisfactory style. Following that, you will learn more about sensor networks, and explore why they needed. Additionally, learn to set up an ad-hoc Wi-Fi network and familiarise with its various highlights.

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: NPTEL

Course Curriculum

Module: 01
Mod-01 Lec-01 Introduction – Role of Probability in Civil Engineering 00:54:00
Mod-01 Lec-02 Random Events and Probability Concept 00:54:00
Mod-01 Lec-03 Set Theory and Set Operations 00:50:00
Mod-01 Lec-04 Axioms of Probability 00:49:00
Mod-01 Lec-05 Probability of Events 00:54:00
Mod-01 Lec-06 Concept and Defination of Random Variables 00:54:00
Mod-01 Lec-07 Probability Distribution of Random Variables 00:55:00
Mod-01 Lec-08 CDF and Descriptors of Random Variables 00:55:00
Mod-01 Lec-09 Further Descriptors of Random Variables 00:55:00
Mod-01 Lec-10 Discrete Probability Distribution 00:55:00
Module: 02
Mod-01 Lec-11 Probability Distribution of Continuous RVs 00:57:00
Mod-01 Lec-12 Probability Distribution of Continuous RVs (Contd…1) 00:55:00
Mod-01 Lec-13 Probability Distribution of Continuous RVs (Contd…2) 00:57:00
Mod-01 Lec-14 Functions of Single Random Variables 00:54:00
Mod-01 Lec-15 Functions of Random Variables – Different Methods 00:54:00
Mod-01 Lec-16 Functions of Random Variables – Different Methods (Contd.) 00:55:00
Mod-01 Lec-17 Expectation and Moments of Functions of RV 00:58:00
Mod-01 Lec-18 Expectation and Moments of Functions of RV (Contd.) 00:56:00
Mod-01 Lec-19 Joint Probability Distribution 00:56:00
Mod-01 Lec-20 Marginal Probability Distribution 00:50:00
Module: 03
Mod-01 Lec-21 Conditional Probability Distribution 00:56:00
Mod-01 Lec-22 Conditional Probability Distribution (Contd.) 00:54:00
Mod-01 Lec-23 Properties of Multiple Random Variables 00:56:00
Mod-01 Lec-24 Properties of Multiple Random Variables (Contd.) 00:57:00
Mod-01 Lec-25 MGF of Multivariate RVs and Multivariate Probability Distributions 00:58:00
Mod-01 Lec-26 Multivariate Distribution and Functions of Multiple Random Variables 00:54:00
Mod-01 Lec-27 Functions of Multiple Random Variables (Contd…1) 00:57:00
Mod-01 Lec-28 Functions of Multiple Random Variables (Contd…2) 00:56:00
Mod-01 Lec-29 Introduction to Copulas 00:55:00
Mod-01 Lec-30 Introduction to Copulas (Contd.) 00:53:00
Module: 04
Mod-01 Lec-31 Probability Models using Normal Distribution 00:56:00
Mod-01 Lec-32 Probability Models using Log Normal and Exponential Distribution 00:58:00
Mod-01 Lec-33 Probability Models using Gamma and Extreme Value Distribution 00:58:00
Mod-01 Lec-34 Probability Models using Discrete Probability Distributions 00:59:00
Mod-01 Lec-35 Sampling Distribution and Parameter Estimation 00:55:00
Mod-01 Lec-36 Sampling Distribution and Parameter Estimation (Contd.) 00:58:00
Mod-01 Lec-37 Hypothesis Testing 00:55:00
Mod-01 Lec-38 Goodness – of – fit tests 00:57:00
Mod-01 Lec-39 Regression Analyses and Correlation 00:53:00
Mod-01 Lec-40 Regression Analyses and Correlation (Contd.) 00:54:00
Assessment
Submit Your Assignment 00:00:00
Certification 00:00:00

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