Course Outcomes: After learning the course the students should be able to:
|
Course Code |
Course Outcomes |
|
ECPL114.1 |
Understand training algorithms and are able to provide adequate knowledge about feed forward and feedback neural networks. |
|
ECPL214.2 |
Differentiate Biological system, intelligent systems and the concepts of crisp and fuzzy set theory |
|
ECPL214.3 |
Demonstrate knowledge and understanding of fuzzy system as they apply in real time systems |
|
ECPL214.4 |
Implement training algorithms for associative memory network for pattern recognition problems |
|
ECPL214.5 |
Analyze the learning strategies of Artificial Neural networks and learning rules |
Mapping of COs with POs-PSOs:
|
Course Code |
PO1 |
PO2 |
PO3 |
PSO1 |
PSO2 |
|
ECPL214.1 |
2 |
- |
1 |
1 |
2 |
|
ECPL214.2 |
2 |
- |
1 |
1 |
2 |
|
ECPL214.3 |
2 |
- |
1 |
1 |
2 |
|
ECPL214.4 |
2 |
- |
1 |
1 |
2 |
|
ECPL214.5 |
2 |
- |
1 |
1 |
2 |
|
ECPL214 |
2 |
- |
1 |
1 |
2 |



