MCS-224: Artificial Intelligence and Machine Learning
Programme Code: MAEC
Course Code: MCS 224
Assignment Code: MCS 224 / AST/2024-2025
Total Marks: 100
Assignment Questions and Answer Links:
- Classify AI on the basis of the functionalities of AI. Also discuss some important applications of AI.
- Define Supervised, Unsupervised and Reinforcement learning with suitable examples of each
- Compare Artificial Intelligence, Machine Learning, and Deep Learning
- Find the minimum cost path for the 8-puzzle problem, where the start and goal state are given
- Find the most cost-effective path to reach from Node A to Node J using A* Algorithm
- Transforming FOPL Formula into Prenex Normal Form & Skolomization with examples
- Explain Forward and Backward Chaining Systems with examples
- Prove properties of Fuzzy Sets: Commutativity, Associativity, Distributivity, DeMorgan’s Law
- Briefly discuss the various Ensemble methods
- What is logistic regression? Explain with a suitable example
- Explain Decision Tree algorithm with a suitable example
- Explain Naïve Bayes Classification Algorithm with a suitable example
- Explain K-Nearest Neighbors classification Algorithm with a suitable example
- Plot a graph for red and blue categories. Find support vectors and optimal separating line
- Compute the Linear Discriminant projection for the given two-dimensional dataset
- Explain FP Tree Growth Algorithm with a suitable example
Note:
Each answer is prepared in simple language and adheres to IGNOU’s required word count. Use diagrams and illustrations as needed to enhance understanding.