Course Outcomes
CO 1 |
Explain the applications of optimization techniques and solve practical problems on linear programming, sensitivity analysis and transportation model. |
CO 2 |
Formulate and solve integer linear programming problems and sequential linear programming. |
CO 3 |
Analyze problems with Kuhn-Tucker conditions,solve problems with Poisson distribution with pattern of arrival |
CO 4 |
Solve decision making problems under certainty, risk and uncertainty,Quadratic programming and Geometric programming. |
CO 5 |
Solve problems using simulation and probabilistic inventory control models. |
Mapping Matrix of CO's and PO's
COs |
PO 1 |
PO 2 |
PO 3 |
PSO 1 |
PSO 2 |
CO 1 |
- |
- |
3 |
- |
3 |
CO 2 |
- |
- |
3 |
- |
3 |
CO 3 |
- |
- |
3 |
- |
3 |
CO 4 |
- |
- |
3 |
- |
3 |
CO 5 |
- |
- |
3 |
- |
3 |
AVG |
- |
- |
3 |
- |
3 |