KAI075: DESIGN DATA WAREHOUSING AND DATA MINING
Course Outcomes:
| CO |
At the end of course , the student will be able to understand:
|
Bloom’s Level
|
|
CO1
|
Be familiar with mathematical foundations of data mining tools. |
K1, K2
|
|
CO2
|
Understand and implement classical models and algorithms in data warehouses and
data mining. |
K3
|
|
CO3
|
Characterize the kinds of patterns that can be discovered by association rule
mining, classification and clustering. |
K1, K2
|
|
CO4
|
Master data mining techniques in various applications like social, scientific
and environmental context. |
K3
|
|
CO5
|
Develop skill in selecting the appropriate data mining algorithm for solving
practical problem. |
K1, K2
|
Mapping Matrix of CO's and PO's
| COs |
PO1 |
PO2 |
PO3 |
PO4 |
PO5 |
PO6 |
PO7 |
PO8 |
PO9 |
PO10 |
PO11 |
PO12 |
PSO1 |
PSO2 |
PSO3 |
|
CO1
|
1 |
- |
1 |
- |
1 |
- |
- |
- |
- |
1 |
- |
- |
1 |
1 |
3 |
|
CO2
|
2 |
2 |
- |
2 |
- |
- |
- |
- |
- |
1 |
- |
- |
3 |
- |
- |
|
CO3
|
3 |
- |
- |
3 |
- |
- |
- |
- |
- |
- |
- |
- |
3 |
1 |
2 |
|
CO4
|
3 |
1 |
- |
3 |
- |
- |
- |
- |
- |
- |
- |
- |
2 |
1 |
1 |
|
CO5
|
3 |
3 |
- |
- |
- |
- |
- |
- |
- |
- |
- |
1 |
1 |
1 |
3 |
|
CO6
|
3 |
3 |
- |
2 |
3 |
- |
- |
- |
- |
1 |
- |
- |
1 |
2 |
3 |
