Gujarat Technological UniversitySummer 2025 examination

GTU BE02000041 Fundamental of AI Summer 2025 Question Paper & PDF

B.E. · Common Engineering · Semesters 1 and 2 · Subject code BE02000041
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Total
70 marks
To pass
23 marks (33%)
Duration
2.5 Hours 10:30 AM – 1:00 PM
Questions
5 with internal choice
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7 of 25 questions on this paper were also asked in other years. Each is marked below with the years it appeared.See all 12 repeated BE02000041 questions, most asked first

Q.1

14 Marks
(a)
3 marksAsked in 3 of 3 papers
Define artificial intelligence and explain its historical origin.

Also asked in Summer 2026 Q1c, Winter 2025 Q1a

(b)
4 marks
Explain the significance of early expert systems in shaping AI.
(c)
7 marks
Identify real-world applications where early AI principles are still relevant.

Q.2

14 Marks
(a)
3 marks
Define an agent and an environment in AI systems.
(b)
4 marksAsked in 2 of 3 papers
Compare the scope and capabilities of ANI, AGI, and ASI.

Also asked in Summer 2026 Q2c

(c)
7 marks
Classify real-world AI applications under ANI, AGI, or ASI categories.
(c)
7 marks

Demonstrate how AI has evolved from rule-based systems to machine learning.

Q.3

14 Marks
(a)
3 marksAsked in 2 of 3 papers
List the different types of knowledge representation techniques

Also asked in Winter 2025 Q2b

(b)
4 marks
Explain the difference between syntactic and semantic analysis in NLP.
(c)
7 marks

Implement a simple pattern recognition system for recognizing handwritten digits.

(a)
3 marksAsked in 2 of 3 papers

Explain the difference between supervised and unsupervised learning with examples.

Also asked in Summer 2026 Q4b

(b)
4 marksAsked in 2 of 3 papers
What are expert systems, and what are their main components?

Also asked in Winter 2025 Q2c

(c)
7 marks
Apply SVM algorithm for binary classification.

Q.4

14 Marks
(a)
3 marks

Define linear regression, logistic regression, and Support Vector Machines (SVM).

(b)
4 marks
Illustrate the difference between training and test datasets.
(c)
7 marks

Provide an example where learning from examples can be used to solve a real-world problem.

(a)
3 marks
Define deep learning and explain its relationship to machine learning.
(b)
4 marks

Explain the differences between convolutional neural networks and recurrent neural networks.

(c)
7 marks
Demonstrate how deep learning is applied to image recognition tasks

Q.5

14 Marks
(a)
3 marksAsked in 3 of 3 papers
What is a neural network, and what are its main components?

Also asked in Summer 2026 Q5b OR, Winter 2025 Q4c OR

(b)
4 marks
What are Large Language Models (LLMs), and how do they work?
(c)
7 marks
Analyze the role of tools like Bhashini in promoting inclusivity in AI.
(a)
3 marks

What are the current issues facing AI development, such as bias, data privacy, and resource consumption?

(b)
4 marksAsked in 3 of 3 papers

Compare the capabilities of deep learning with traditional machine learning approaches.

Also asked in Summer 2026 Q4c OR, Winter 2025 Q4a OR

(c)
7 marks
Use ChatGPT to draft a business email.

More Fundamental of AI papers

Questions repeat across sessions. Working through two or three papers shows you which topics GTU asks most.

Summer 202670 marks · 5 questions
Winter 202570 marks · 5 questions

Other Semester 2 subjects

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BE02000011
Mathematics – 2
BE02000021
English for Technical Communication
BE02000031
Intellectual Property Rights
BE02000061
Industrial Safety and Standards

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About this paper

Official Gujarat Technological University (GTU) examination paper for Fundamental of AI (Summer 2025, B.E. · Common Engineering, Sem 2). Features complete 70-mark regular & remedial examination pattern, official marking distribution across all 5 questions, and direct 1-click official PDF download.

Transcribed for student exam preparation from Gujarat Technological University official examination archives. Questions, syllabus guidelines, and curriculum marking schemes remain the intellectual property of Gujarat Technological University.

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