IT-504 (A) RGPV B.Tech
Artificial Intelligence (AI)
Previous year papers and the official syllabus are free to read, no account needed.
Previous Year Papers
8 papers, latest Dec 2025
- IT-504 (A) paper, Dec 2025
- IT-504 (A) paper, Jun 2025
- IT-504 (A) paper, Dec 2024
- IT-504 (A) paper, Jun 2024
- IT-504 (A) paper, May 2024
- IT-504 (A) paper, Dec 2023
Syllabus, notes and important questions for IT-504 (A)
Syllabus units
Topics as the official RGPV syllabus lists them.
Unit 1 Introduction and Search Techniques 10 topics
- Meaning and definition of artificial intelligence
- Production systems
- Characteristics of production systems
- Breadth‑first search (BFS)
- Depth‑first search (DFS)
- Hill‑climbing search
- Best‑first search
- A* algorithm
- AO* algorithm
- Various control strategies for production systems
Unit 2 Knowledge Representation 12 topics
- Knowledge representation
- Problems in representing knowledge
- Propositional logic
- Predicate logic
- Comparison of propositional and predicate logic
- Resolution
- Refutation
- Deduction
- Theorem proving
- Inferencing
- Monotonic reasoning
- Non‑monotonic reasoning
Unit 3 Probabilistic Reasoning and Fuzzy Logic 10 topics
- Probabilistic reasoning
- Bayes' theorem
- Semantic networks
- Scripts
- Schemas
- Frames
- Conceptual dependency
- Fuzzy logic
- Forward reasoning
- Backward reasoning
Unit 4 Game Playing, Planning and Natural Language Processing 6 topics
- Game‑playing techniques
- Minimax procedure
- Alpha‑beta pruning
- Planning
- Block‑world problem in robotics
- Introduction to natural language processing
Unit 5 Learning and Neural Networks 6 topics
- Introduction to learning
- Various learning techniques
- Introduction to neural networks
- Applications of neural networks
- Common‑sense reasoning
- Examples of expert systems
Exam insights
Counted from 5 past IT-504 (A) papers.
Marks asked per paper, by unit
-
Unit 1 Meaning and definition of artificial intelligence 31 marks
-
Unit 2 Knowledge Representation 22 marks
-
Unit 3 Probabilistic reasoning and Structures 22 marks
-
Unit 4 Game playing and NLP 14 marks
-
Unit 5 Learning and Neural Networks 20 marks
Average marks of the questions from each unit in one paper. You answer only some of them, so the total is more than the paper’s maximum.
Asked again and again
-
Explain Breadth First Search vs Depth First Search, compare their advantages/disadvantages, and give an example where BFS is better.
Asked 3 times: 2024, 2023, 2022
-
Represent / convert given English sentences or facts into first-order / predicate logic.
Asked 3 times: 2024, 2023, 2022
-
State and explain Bayes' Theorem with a numerical example and its significance in AI
Asked 3 times: 2025, 2023, 2020