Course Name: Probability Foundations for Electrical Engineers

Course abstract

This course will introduce the basic foundational aspects of probability theory primarily to an electrical engineering audience. In communications, signal processing and networking applications, probability theory and models play a vital role in design and implementation. This course will prepare a student to take courses such as Digital/Wireless Communications, Adaptive Signal Processing and Communication Networks.


Course Instructor

Media Object

Prof. Aravind R

R Aravind is a faculty member in the Department of Electrical Engineering at the Indian Institute of Technology Madras. Aravind has a PhD in electrical engineering from the University of California, Santa Barbara. His research interests include image and video processing and compression


Teaching Assistant(s)

Ajay M

PhD. Electrical Engineering

B.Prafulla Chandra

Phd Scholar

 Course Duration : Feb-Mar 2018

  View Course

 Enrollment : 20-Nov-2017 to 05-Feb-2018

 Exam registration : 08-Jan-2018 to 07-Mar-2018

 Exam Date : 28-Apr-2018

Enrolled

2501

Registered

108

Certificate Eligible

49

Certified Category Count

Gold

0

Silver

0

Elite

25

Successfully completed

24

Participation

33

Success

Elite

Gold





Legend

>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate

Final Score Calculation Logic

  • Assignment Score = Average of best 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Probability Foundations for Electrical Engineers - Toppers list

SAGAYARANI JEBA D 85%

PANIMALAR ENGINEERING COLLEGE

M. PRASHANT 83%

IIT MADRAS

Enrollment Statistics

Total Enrollment: 2501

Data Not Found..!
Data Not Found..!

Assignment Statistics




Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.