IGNOU MAEC MCS 224 SOLVED ASSIGNMENT

Included:

MCS 224 (January 2025 - July 2025) - ENGLISH

Course Code : MCS-224

Course Title : Artificial Intelligence and Machine Learning

Assignment Number : MCA_NEW(III)/224/Assign/2025

Maximum Marks : 100

Weightage : 30%

Last date of Submission : 30th April, 2025 (for January session)

31st October, 2025 (for July session)

This assignment has 16 questions of 5 Marks each, answer all questions. Rest 20 marks are for viva voce. Please go through the guidelines regarding assignments given in the Programme Guide for the format of presentation.

Q1: Compare ANI, AGI and ASI, in context of AI. Also, discuss the major applications of AI.

Q2: What is Turing Test? What is the Criticism to the Turing Test?

Q3: Compare Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Q4: What are Intelligent agents in AI? Briefly discuss the properties of Agents.

Q5: Find the minimum cost path for the 8-puzzle problem, where the start and goal state are given as follows:        

 

1	2	8
8		4
7	6	6

   Start State

2	8	1
	4	3
7	6	5

Goal State

Q6: Consider the following Minimax game tree search in which root is maximizing node and children are visited from left to right. Find the value of the root node of the game tree?

Q7: Define a frame for the entity date which consists of day, month and year. each of which is a number with restrictions which are well-known. Also, a procedure named compute-day-of-week is already defined.

Q8: In a class, three students tossed one coins (one each) for 3 times. Write down all the possible outcomes which can be obtained in this experiment. What is the probability of getting 2 or more than 2 heads at a time? Also find the probability of getting three tails at a time.

Q9: Briefly discuss the various Ensemble Methods.

Q10: Explain K-Nearest Neighbour (K-NN) classification algorithm with the help of a suitable example

Q11: Using the following training dataset, apply Naïve Bayes classification algorithm to find the class of an unknown sample X = < Rainy, Cool, High, False >

S. No	Outlook	Temperature	Humidity	Windy	Play Golf/Class
0	Rainy	Hot	High	False	No
1	Rainy	Hot	High	True	No
2	Overcast	Hot	High	False	Yes
3	Sunny	Mild	High	False	Yes
4	Sunny	Cool	Normal	False	Yes
5	Sunny	Cool	Normal	True	No
6	Overcast	Cool	Normal	True	Yes
7	Rainy	Mild	High	False	No
8	Rainy	Cool	Normal	False	Yes
9	Sunny	Mild	Normal	False	Yes
10	Rainy	Mild	Normal	True	Yes
11	Overcast	Mild	High	True	Yes
12	Overcast	Hot	Normal	False	Yes
13	Sunny	Mild	High	True	No

Q12: Explain working of SVM algorithm with the help of a suitable example.

Consider the following set of data points (Year of experience salary). Find the 2^nd order polynomial y=?₀ + ?₁?_i + ?₂ ?_i ² , and using polynomial regression determine the salary when year of experience is 10.

Years of Experience (X)	Salary (Y) in Dollar
1	50,000
2	55,000
3	65,000
4	80,000
5	110,000
6	150,000
7	200,000

Q14: Write Back Propagation algorithm, and showcase its execution on a neural network of your choice (make suitable assumptions if any)

Q15: Consider the two-dimensional patterns (2, 2), (3, 6), (4, 4), (5, 6), (6, 7), (7, 8), (8, 8) and (9, 10). Using the PCA Algorithm, calculate the primary component

Q16: Compute the Linear Discriminant projection for the following two-dimensional dataset X1 = (x1, x2) = {(4,2), (2,1), (2,4), (3,5), (4,5)} and X2 = (x1, x2) = {(9, 9), (6, 9), (9, 6), (8, 7), (10, 9)}

MCS 224 2025 2026 - English

MCS-224: Artificial Intelligence and Machine Learning

Tutor Marked Assignment

Course Code: MCS 224

Asst. Code: MCS 224/AST/2025-2026

Total Marks: 100

Note: Answer all questions. Question no. 1-4 are of 7 marks each and question no. 5-16 are of 6 marks each. You may use illustrations and diagrams to enhance the explanations.

Q1. What is learning? Define the following ways of learning:

(I) Rote Learning (II) Learning by Instruction (III) Learning by analogy (IV) Learning by

Induction (V) Learning by deduction

Q2. Define is Artificial Intelligence? What are the applications of Al in the healthcare and agricultural domains?

Q3. Find the minimum cost path for the 8-puzzle problem, where the start and goal state are given as follows:

That's an interesting request! The table shown in the image represents a classic 8-puzzle problem, where the goal is to transform the "Start State" into the "Goal State" by sliding the numbered tiles into the empty space.

Here are the tables presented in a text format, mirroring the image:

Start State

1	2	3
4	8	-
7	6	5

Goal State

1	2	3
4	5	6
-	7	8

Q4. Apply BFS algorithm on the following graph.

Q5. Draw a semantic network for the following English statement:

"Shyam owns a dog named Sheru, and Sheru likes to chase cats".

Q6. In a class, three students tossed one coin (one each) 3 times. Answer the following:

(a) Write down all the possible outcomes which can be obtained in this experiment.

(b) What is the probability of getting 2 or more than 2 heads at a time? Also, write the probability of getting three tails at a time.

(c) Calculate the Relative frequency of tail rn(T).

Q7. Explain Dempster-Shafer theory with a suitable example.

Q8. For the following fuzzy sets:

A = {a/0.6, b/0.4, c/0.5, d/0.0, e/0.8}; B = {a/0.2, b/0.8, c/0.7, d/0.3, e/0.5}

C = {a/0.1, b/0.2, c/0.8, d/0.6, e/0.2}

Find the fuzzy sets: (i) A U B UC (ii) A ∩ B ∩ C (iii) A' U B' U C' (iv) A' ∩ B' ∩ C'

(v) (A ∩ B UC)'

Q9. What is ensemble learning? Explain three primary classes of ensemble learning methods.

Q10. Use Naive Bayes classification method for the following dataset and classify the class (Species) of X = {Color=Green, Legs=2, Height=Tall, Smelly=No}

Sl. No.	Color	Legs	Height	Smelly	Species
1	White	3	Short	Yes	M
2	Green	2	Tall	No	M
3	Green	3	Short	Yes	M
4	White	3	Short	Yes	M
5	Green	2	Short	No	H
6	White	2	Tall	No	H
7	White	2	Tall	No	H

Sl. No.	Color	Legs	Height	Smelly	Species
8	White	2	Short	Yes	H

Q11. What is a Decision Tree? Use ID3 algorithm to create the decision tree for the following dataset and use it to find the class of unknown sample X = {Peter, red, short, average}

Name	Hair	Height	Weight	Lotion	Result
Sarah	blonde	average	light	no	sunburned (positive)
Dana	blonde	tall	average	yes	none (negative)
Alex	brown	short	average	yes	none
Annie	blonde	short	average	no	sunburned
Emily	red	average	heavy	no	sunburned
Pete	brown	tall	heavy	no	none
John	brown	average	heavy	no	none
Katie	blonde	short	light	yes	none

Q12. Find a quadratic regression model for the following data. Use the regression model and calculate the value of Y at X = 9.

X	3	4	5	6	7
Y	2.5	3.2	3.8	6.5	11.5

Q13. For the given points of two classes Blue and Yellow:
Blue: { (1,2), (2,3), (-1,2), (-1,4), (-1,-1)}

Yellow: { (4,2), (5,-1), (5,1), (6,1), (5,3)}

Plot a graph for the Blue and Yello categories. Find the support vectors and optimal separating line.

Q14. The following diagram represents a feed-forward neural network with one hidden layer:

Q: How will I receive the PDF?
A: Immediately after payment, the download link will appear.

Q: Is this hand-written or typed?
A: This is a professional typed computer PDF. You can use it as a reference for your handwritten submission.

Details

• Latest IGNOU Solved Assignment
• IGNOU MCS 224 2025 2026 Solved Assignment
• IGNOU 2025 2026 Solved Assignment
• IGNOU MAEC MASTER OF ARTS (ECONOMICS) 2025 2026 Solved Assignment
• IGNOU MCS 224 Artificial Intelligence and Machine Learning 2025 2026 Solved Assignment

Looking for IGNOU MCS 224 Solved Assignment 2025 2026. You are on the Right Website. We provide Help book of Solved Assignment of MAEC MCS 224 - Artificial Intelligence and Machine Learningof year 2025 2026 of very low price.
If you want this Help Book of IGNOU MCS 224 2025 2026 Simply Call Us @ 9199852182 / 9852900088 or you can whatsApp Us @ 9199852182
 

IGNOU MAEC Assignments Jan - July 2026 - IGNOU University has uploaded its current session Assignment of the MAEC Programme for the session year 2025 2026. Students of the MAEC Programme can now download Assignment questions from this page. Candidates have to compulsory download those assignments to get a permit of attending the Term End Exam of the IGNOU MAEC Programme.

Download a PDF soft copy of IGNOU MCS 224 Artificial Intelligence and Machine Learning MAEC Latest Solved Assignment for Session January 2026 - December 2026 in English Language.

If you are searching out Ignou MAEC  MCS 224 solved assignment? So this platform is the high-quality platform for Ignou MAEC  MCS 224 solved assignment. Solved Assignment Soft Copy & Hard Copy. We will try to solve all the problems related to your Assignment. All the questions were answered as per the guidelines. The goal of IGNOU Solution is democratizing higher education by taking education to the doorsteps of the learners and providing access to high quality material. Get the solved assignment for MCS 224 Artificial Intelligence and Machine Learning course offered by IGNOU for the year 2025 2026.Are you a student of high IGNOU looking for high quality and accurate IGNOU MCS 224 Solved Assignment 2025 2026 English Medium? 

Students who are searching for IGNOU MASTER OF ARTS (ECONOMICS) (MAEC) Solved Assignments 2025 2026 at low cost. We provide all Solved Assignments, Project reports for Masters & Bachelor students for IGNOU. Get better grades with our assignments! ensuring that our IGNOU MASTER OF ARTS (ECONOMICS) Solved Assignment meet the highest standards of quality and accuracy.Here you will find some assignment solutions for IGNOU MAEC Courses that you can download and look at. All assignments provided here have been solved.IGNOU MCS 224 SOLVED ASSIGNMENT 2025 2026. Title Name MCS 224 English Solved Assignment 2025 2026. Service Type Solved Assignment (Soft copy/PDF).

Are you an IGNOU student who wants to download IGNOU Solved Assignment 2024? IGNOU  Solved Assignment 2023-24 Session. IGNOU Solved Assignment and In this post, we will provide you with all solved assignments.

If you’ve arrived at this page, you’re looking for a free PDF download of the IGNOU MAEC Solved Assignment 2025 2026. MAEC is for MASTER OF ARTS (ECONOMICS).

IGNOU solved assignments are a set of questions or tasks that students must complete and submit to their respective study centers. The solved assignments are provided by IGNOU Academy and must be completed by the students themselves.

Course Name	MASTER OF ARTS (ECONOMICS)
Course Code	MAEC
Programm	Courses
Language	English

 

 

 

IGNOU MCS 224 Solved Assignment	ignou assignment 2025 2026,   2025 2026 MCS 224
IGNOU MCS 224 Assignment	ignou solved assignment MCS 224
MCS 224 Assignment 2025 2026	solved assignment MCS 224
MCS 224 Assignment 2025 2026	assignment of ignou MCS 224
Download IGNOU MCS 224 Solved Assignment 2025 2026	ignou assignments MCS 224
Ignou result MCS 224	Ignou Assignment Solution MCS 224