Gujarat Technological UniversitySummer 2026 examination

GTU BE02000041 Fundamental of AI Summer 2026 Question Paper & PDF

B.E. · Common Engineering · Semester 2 · Subject code BE02000041GTU also lists this paper as BE02R00041
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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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10 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 marks
What is Artificial Intelligence?
(b)
4 marksAsked in 2 of 3 papers
Explain the main characteristics of an intelligent agent.

Also asked in Winter 2025 Q5b OR

(c)
7 marksAsked in 3 of 3 papers
Discuss the history and evolution of Artificial Intelligence.

Also asked in Winter 2025 Q1a, Summer 2025 Q1a

Q.2

14 Marks
(a)
3 marks
What is knowledge representation in Artificial Intelligence?
(b)
4 marks
What is Natural Language Processing (NLP)? Mention any two applications.
(c)
7 marksAsked in 2 of 3 papers

Compare Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), and Artificial Super Intelligence (ASI) with suitable examples.

Also asked in Summer 2025 Q2b

(c)
7 marks

Explain the concepts of production systems, agents, and environments in AI with the help of suitable examples.

Q.3

14 Marks
(a)
3 marks
What is an expert system? Give one real-life example.
(b)
4 marks
Explain concept of Rationality.
(c)
7 marks

Explain in detail how expert systems are designed. Discuss their advantages and limitations with examples.

(a)
3 marksAsked in 2 of 3 papers
Define pattern recognition with one simple example.

Also asked in Winter 2025 Q2a

(b)
4 marks
Explain the importance of knowledge representation in AI.
(c)
7 marks
Explain the concept and working of Deep Learning with suitable examples.

Q.4

14 Marks
(a)
3 marks
Discuss nature of environments in AI.
(b)
4 marksAsked in 2 of 3 papers
What is the difference between supervised and unsupervised learning?

Also asked in Summer 2025 Q3a OR

(c)
7 marks

Discuss the different types of Deep Learning models such as CNN, RNN, and GAN, and mention where they are used.

(a)
3 marksAsked in 2 of 3 papers
What is a Large Language Model (LLM)?

Also asked in Winter 2025 Q5a

(b)
4 marks
Describe the basic idea behind linear regression.
(c)
7 marksAsked in 3 of 3 papers
Explain the difference between Machine Learning and Deep Learning.

Also asked in Winter 2025 Q4a OR, Summer 2025 Q5b OR

Q.5

14 Marks
(a)
3 marksAsked in 2 of 3 papers
Mention any two real-life applications of Deep Learning.

Also asked in Winter 2025 Q4b

(b)
4 marks

What is the main purpose of using Support Vector Machines (SVM) in machine learning?

(c)
7 marks

Discuss the different forms of learning in Machine Learning and discuss any one training algorithm used in each type.

(a)
3 marks
Give one real-life example of reinforcement learning.
(b)
4 marksAsked in 3 of 3 papers
Describe the basic structure of a Neural Network.

Also asked in Winter 2025 Q4c OR, Summer 2025 Q5a

(c)
7 marksAsked in 2 of 3 papers
Discuss Current Issuess & Future Challenges of AI.

Also asked in Winter 2025 Q5c OR

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About this paper

Official Gujarat Technological University (GTU) examination paper for Fundamental of AI (Summer 2026, 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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