GTU · BE EC · Semester 7
GTU 3171105 Introduction of Artificial Intelligence Old Question Papers PDF
Official Gujarat Technological University (GTU) old question papers PDF (Regular & Remedial) and step-by-step solved questions for Introduction of Artificial Intelligence across 2025 – 2026 examinations.
9 questions GTU asked more than onceAsked in all 3 papers: Give a summary of steps involved in Natural Language Processing (NLP).See listExam papers
Most repeated questions
9 questions GTU set in two or more of 3 papers, most repeated first. Tap a year to open that paper at the question.
Give a summary of steps involved in Natural Language Processing (NLP).
Write a short note on Hill Climbing algorithm. Also discuss about drawback of hill climbing algorithm.
Explain in detail: Recursive best first search.
Explain how the agent interacts with the environment using appropriate illustrations.
Explain Positive Sum game and Negative Sum game under non-zero sum games in brief.
How means end analysis helps in solving complex problem, explain with suitable example.
Write down two major components of Natural Lnaguage Processing (NLP) and explain any one in brief.
Compare pros and cons of Branch and Bound algorithm.
Write down any three major approaches to solve planning problems.
Which branches take this subject
GTU's syllabus lists 3171105 for 2 branches. One set of papers serves all of them.
Semester 7, elective: 2 branches
Electronics & Communication Engineering, Electronics Engineering
Other Semester 7 subjects
Common questions
Are these GTU 3171105 Introduction of Artificial Intelligence papers valid for both Regular and Remedial exams?
Yes. Gujarat Technological University (GTU) follows the same 70-mark syllabus, exam blueprint, and 23-mark passing cutoff for both Regular and Remedial (ATKT/backlog) examinations. All 3 past exam sessions (2025 – 2026) serve as comprehensive preparation for either attempt.
How can I download GTU 3171105 Introduction of Artificial Intelligence old question papers PDF?
You can download official GTU 3171105 original question paper PDFs directly from the table above with 1 click and zero deceptive ads or wait timers. Every paper also includes interactive online questions with AI study prompts.
What is the passing mark for GTU Introduction of Artificial Intelligence (3171105)?
The external theory exam carries 70 marks. The minimum passing cutoff is 23 marks (33%). Exam duration is 2.5 hours.
What is the GTU exam pattern for 3171105?
The examination contains 5 main questions of 14 marks each, totaling 70 marks. Questions 2 through 5 provide internal OR choices, typically split into 3-mark, 4-mark, and 7-mark questions.