Course Outcomes
|
MAUL301.1 |
Understand the basic concepts of Probability, Bayes' Law, Bernoulli’s trial. |
|
MAUL301.2 |
Determine probability distributions, expectations, moments, MGF, mean and variances of the discrete and continuous random variables. |
|
MAUL301.3 |
Illustrate different probability distributions like Binomial, Poisson, Normal, Uniform, Exponential Distribution. |
|
MAUL301.4 |
Compute the correlation, regression and best fit curves. |
|
MAUL301.5 |
Apply the concepts of Queuing theory and Markov chain. |
Mapping of COs and POs
|
COs |
PO1 |
PO2 |
PO3 |
PO4 |
PO5 |
PO6 |
PO7 |
PO8 |
PO9 |
PO10 |
PO11 |
PSO 1 |
PSO 2 |
PSO 3 |
|
CO1 |
2 |
3 |
- |
2 |
- |
- |
- |
- |
- |
- |
- |
1 |
- |
2 |
|
CO2 |
2 |
3 |
- |
2 |
- |
- |
- |
- |
- |
- |
- |
1 |
- |
2 |
|
CO3 |
2 |
3 |
- |
2 |
- |
- |
- |
- |
- |
- |
- |
1 |
- |
2 |
|
CO4 |
2 |
3 |
- |
2 |
- |
- |
- |
- |
- |
- |
- |
1 |
- |
2 |
|
CO5 |
2 |
3 |
- |
2 |
- |
- |
- |
- |
- |
- |
- |
1 |
- |
2 |
|
Avg |
2 |
3 |
- |
2 |
- |
- |
- |
- |
- |
- |
- |
1 |
- |
2 |



