Course Outcomes
CO1: Understand the concept of artificial intelligence, knowledge based representation and rules.
CO2: Apply concept of statistical reasoning on rule based systems and learn application of Baye’s theorem on modern AI interface.
CO3: Understand the concept of pattern recognition and its methods and applications of those in modern AI interface.
CO4: Understand the concept of Artificial Neural Network.
CO5: Analyze the working of expert systems by learning the functioning of different known Expert Systems.
Mapping Matrix of CO's and PO's
|
COs |
PO1 |
PO2 |
PO3 |
PSO1 |
PSO2 |
|
CO1 |
3 |
3 |
3 |
3 |
3 |
|
CO2 |
3 |
3 |
3 |
3 |
3 |
|
CO3 |
3 |
3 |
3 |
3 |
3 |
|
CO4 |
3 |
3 |
3 |
3 |
3 |
|
CO5 |
3 |
3 |
3 |
3 |
3 |
|
Avg |
3 |
3 |
3 |
3 |
3 |
