Welcome to eLearning courses

Outcomes (Theory)

1. Students easily generate sample space, identify its type, define
   associated events and find probabilities of different events as
   well.
2. Students can define random variable with prior knowledge of
   sample space and probability and develop probability
   distribution.
3. Students can obtain Moments generating functions in order to
   study properties of probability distributions.
4. Various probability inequalities, idea of bivariate distribution
   and joint probability distribution will be clear.

Outcomes (Practical)

At the end of the semester, students can identify nature of the
problem, and can calculate probabilities of different events. Also,
students can ably obtain certain summary statistics for probability
distributions of random variables. This will help them to understand
the other associated methods and procedures used in analysis in a
better way.
Topics for this practical are based on theory concepts.