KCA351: ARTIFICIAL INTELLIGENCE LAB
Course Outcomes:
| CO |
At the end of course , the student will be able to:
|
Bloom’s Level
|
| CO 1 |
Study and understand AI tools such as Python / MATLAB. |
K 1,K 2
|
| CO 2 |
Apply AI tools to analyze and solve common AI problems. |
K 3,K 4
|
| CO 3 |
Implement and compare various AI searching algorithms. |
K 6
|
| CO 4 |
Implement various machine learning algorithms. |
K 6
|
| CO 5 |
Implement various classification and clustering techniques. |
K 6
|
Mapping Matrix of CO's and PO's
| CO |
PO1 |
PO2 |
PO3 |
PO4 |
PO5 |
PO6 |
PO7 |
PO8 |
PO9 |
PO10 |
PO11 |
PO12 |
|
CO1
|
2 |
3 |
3 |
2 |
2 |
1 |
1 |
|
|
|
|
|
|
CO2
|
1 |
2 |
3 |
1 |
2 |
|
1 |
|
|
|
|
|
|
CO3
|
1 |
1 |
|
1 |
1 |
|
3 |
|
|
|
|
|
|
CO4
|
2 |
1 |
2 |
3 |
1 |
|
1 |
|
|
|
|
|
|
CO5
|
1 |
2 |
3 |
3 |
2 |
|
1 |
|
|
|
|
|
