Description
Assignment
Course Code: MCS-224
Course Title: Artificial Intelligence and Machine Learning
Assignment Code: MCS-224/TMA/2026
Maximum Marks: 100 Last Date of Submission: April 30, 2026 (For June TEE), September 30, 2026 (For December TEE)
Note: For any question worth 10 marks the word limit is 350 words, for a 20 mark question it is 550 words. Attempt all questions. All questions carry equal marks.
Q.1 Compare ANI, AGI and ASI, in context of AI. Also, discuss the major applications of AI.
Q.2 What is Turing Test? What is the Criticism to the Turing Test?
Q.3 Compare Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)
Q.4 What are Intelligent agents in AI? Briefly discuss the properties of Agents.
Q.5 Discuss the transforming an FOPL Formula into Prenex Normal Form with suitable example. Also, discuss Skolomization with a suitable example.
Q.6 Explain Forward Chaining Systems and Backward Chaining Systems with a suitable example for each
. Q.7 Write Back Propagation algorithm, and showcase its execution on a neural network of your choice. (make suitable assumptions if any)
Q.8 Briefly discuss the various Ensemble methods.
Q.9 For the given points of two classes red and blue:
Plot a graph for the red and blue categories. Find the support vectors and optimal separating line.
Q.10 Consider the two-dimensional patterns
Using the PCA Algorithm, calculate the primary component.
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