BSc CS Sem 5 March 2025 March 2025 Artificial Intelligence Question Paper - Mumbai University | munotes

Questions asked in this paper

• 2) Figures to the right indicate marks

1. Q3 Illustrations, in-depth answers and diagrams will be appreciated
2. Q4 Mixing of sub-questions is not allowed
3. Q1 Attempt ANY FOUR from the following: (20M)
   • (a) Give brief explanation about foundation of AI
   • (b) Differentiate between informed and uninformed search
   • (c) Define Intelligent agent and explain structure of agent with diagram
   • (d) 8-puzzle problem with its States, Initial State, Actions, Transition Model and Goal state,
   • (e) Explain Depth First Search Algorithm with example
   • (f) the following graph and given heuristic values. Use the greedy best first search technique and find the path and path cost. Let the Starting node be A and the goal node be G Attempt ANY FOUR from the following: (20M)
   • (a) the key concepts of propositional logic and demonstrate with
   • (b) Discuss the various Stages of the Knowledge C ycle in Al
   • (c) is bias and variance in the context of machine learning? Discuss the
   • (d) Define an Artificial Neural Network and explain its key components
   • (e) brief explanation of multi linear regression
   • (f) how a Support Vector Machine works, along with an example
4. Q3 Attempt ANY FOUR from the following: (20M)
   • (a) What is association rule mining? Give applications of it
   • (b) Discuss the concept of reinforcement learning along with its different types
   • (c) an overview of Hidden Markov Model and discuss its steps
   • (d) Explain the Naive Bayes Classifier and discuss its underlying assumptions Provide a detailed explanation of Q-learning and how it works
   • (f) For the given transaction data set find the following
5. Q4 Attempt ANY FIVE from the following:
   • (a) | What does PEAS stand for? Explain it with an example
   • (b) Explain Discrete vs. Continuous task environment with suitable example
   • (c) Define entropy and information gain, and discuss their significance briefly
   • (d) List and discuss the types of reasoning
   • (e) supervised and unsupervised learning differ? Provide a comparison
   • (f) | What is support, confidence and lift in association rule mining?

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