SI417 - Introduction to Probability Theory
Instructor
S.Baskar
Semester
Autumn’20
Course Difficulty
Moderate
Time Commitment Required
The lectures had 3 hr worth of content every week. Apart from that tuts were given which took about 2-3 hrs but were optional
Grading Policy and Statistics
It is difficult to score a AA but rather easy to score above a 7.
Attendance Policy
Took this course online. The lectures were pre-recorded so no attendance there, help sessions had optional attendance
Pre-requisites
This is an introductory course in Statistics hence only JEE stats knowledge is expected
Evaluation Scheme
AA to the highest scorer, absolute grading wrt to highest marks. 40% of the highest marks was the passing criteria
Topics Covered in the Course
Discrete and continuous probability, Random variables and expectation, Special classes of random variables, Probability theorems and laws etc.
Teaching Style
All Pre-recorded lectures, weekly tuts and quizes
Tutorials/Assignments/Projects
The tuts were important as the exams were directly based on them.
Feedback on Exams
10 quizzes of 10 percent each. The quizzes in the start of the semester were very scoring. The content got tougher as the semester passed
Motivation for taking this course
Wanted to explore Statistics, Also enjoyed probability the most during JEE times.
Course Highlights
Got a basic knowledge of a few basic stats theorems which were used in some aptitude problems as well.
How strongly would I recommend this course?
Should definitely take the course up if you like probability and are want to explore it further. Though as the course approaches the content becomes really theoretical.
When to take this course?
I took the course up in my 3 sem. As this is a pre-requisite for all other Stats minor courses, have to take this up in the 3 sem itself.
Going Forward
You can complete your stats minor , de minor
References Used
Some NPTL courses from IIT Madras elec department have similar content
Review By: Vidushi Verma