Download Artificial Intelligence PPTs
AI Unit 3 - Adversarial Search and Games
Game Theory, Optimal Decisions in Games, Heuristic Alpha–Beta Tree Search, Monte Carlo Tree Search, Stochastic Games, Partially Observable Games, Limitations of Game Search Algorithms, Constraint Satisfaction Problems (CSP), Constraint Propagation: Inference in CSPs, Backtracking Search for CSPs.
Download PPTAI Unit 4 - Knowledge
Logical Agents, Knowledge-Based Agents, The Wumpus World, Logic, Propositional Logic: A Very Simple Logic, Propositional Theorem Proving, Effective Propositional Model Checking, Agents Based on Propositional Logic, First-Order Logic, Representation Revisited, Syntax and Semantics of First-Order Logic, Using First-Order Logic, Knowledge Engineering in First-Order Logic.
Download PPTAI Unit 5 - Reasoning
Inference in First-Order Logic, Propositional vs. First-Order Inference, Unification and First-Order Inference, Forward Chaining, Backward Chaining, Resolution, Knowledge Representation, Ontological Engineering, Categories and Objects, Events, Mental Objects and Modal Logic, Reasoning Systems for Categories, Reasoning with Default Information
Download PPTSPPU AI Question Papers & Solutions PDF
Looking for Savitribai Phule Pune University (SPPU) previous year question papers? You’re in the right place! At Top Study Material, we offer a free and organized collection of past question papers to help you prepare efficiently for your upcoming exams.
✅ Why Download SPPU Question Papers?
- Understand Exam Pattern: Get a clear idea of how questions are framed, marks distribution, and the format.
- Practice Makes Perfect: Solve actual university questions to boost confidence and improve time management.
- Score Better: Identify frequently asked questions and important topics for targeted preparation.
Insem - March 2025
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Download PdfEndsem - July 2022
Download PdfEndsem - Dec 2022
Download PdfUnit Wise Important Questions and Answers
Preparing for SPPU exams? Focus your studies with our unit-wise important questions, curated by experienced faculty and based on analysis of previous year papers. This section is designed to help students revise smartly and score more in their semester exams.
✅ Why Use Unit-Wise Important Questions?
- Targeted Revision: Study only what matters most from each unit.
- Saves Time: Avoid going through entire textbooks. Focus on high-weightage questions.
- Based on Exam Trends: Questions selected from frequently asked and expected topics.
- Helpful for Last-Minute Preparation: Ideal for quick reviews before the exam.
AI Lab Practicals Laboratory Practice 2 (LP-II) with Videos and Downloads
Practical No 1
Implement depth first search algorithm and Breadth First Search algorithm.
Download PDFPractical No 4a
Implement a solution for a Constraint Satisfaction Problem using Backtracking for n-queens problem.
Download PDFPractical No 4b
Implement a solution for a Constraint Satisfaction Problem using Branch and Bound for n-queens problem.
Download PDFPractical No 5
Develop an elementary chatbot for any suitable customer interaction application.
Download PDFFree AI Video Lectures
Unit 1 - Introduction
This playlist covers the fundamental concepts and history of Artificial Intelligence, including definitions, applications, and the different types of AI systems. It introduces the basics that every AI student should know before diving deeper into the subject.
Unit 2 - Problem Solving
Explore problem-solving techniques in AI including search algorithms like uninformed and informed search, heuristic functions, and state-space representations. This unit provides hands-on understanding of how AI approaches solving complex problems efficiently.
Unit 3 - Adversarial Search and Games
Dive into game theory, adversarial search techniques like Minimax and Alpha-Beta pruning, and their applications in game playing AI. Understand how AI makes optimal decisions in competitive environments through strategic planning and heuristic evaluation.
Unit 4 - Knowledge
Learn about knowledge representation and reasoning, logical agents, propositional and first-order logic, and knowledge engineering. This unit focuses on how AI systems represent information and derive conclusions logically.
Unit 5 - Reasoning
Understand different reasoning methods used in AI including inference in first-order logic, forward and backward chaining, resolution, and handling default reasoning. This unit emphasizes how AI systems draw conclusions and make decisions based on knowledge.
Unit 6 - Planning
Explore automated planning concepts, classical and hierarchical planning algorithms, heuristics, and planning in nondeterministic domains. Also, learn about AI ethics, architectures, and future directions related to intelligent planning systems.
Free Handwritten AI Notes
Unit 2 - Problem Solving
Download free handwritten notes that explain AI problem-solving techniques like search trees, uninformed and informed search, and heuristics. These notes are ideal for understanding how AI tackles real-world problems step-by-step.
Download PDFUnit 3 - Adversarial Search and Games
These notes simplify game theory concepts used in AI, such as Minimax, Alpha-Beta Pruning, and strategy formulation. A must-have resource to understand how AI performs in competitive environments like games and simulations.
Download PDFUnit 4 - Knowledge
Understand how AI stores and processes information using propositional logic, first-order logic, and semantic networks. These free notes help you master logical reasoning and the structure of intelligent systems in a simple and easy-to-understand format.
Download PDFUnit 5 - Reasoning
These notes cover inference techniques, default reasoning, and rule-based systems in AI. Ideal for quick preparation, the notes explain forward/backward chaining and resolution techniques in a visually engaging handwritten format.
Download PDF📌 FAQ – Artificial Intelligence (AI) Subject (SPPU)
1. What is covered under the AI subject for SPPU Computer Engineering?
The AI subject covers units on intelligent agents, problem-solving techniques, adversarial search, knowledge representation, reasoning, planning, and the ethical and future scope of AI.
2. Are the notes and PPTs available for free?
✅ Yes, all AI notes, PPTs, practical PDFs, and question papers provided on this website are free to download for students' academic use.
3. Do the AI notes follow the latest 2019 Pattern syllabus of SPPU?
Yes, all materials are designed based on the latest 2019 pattern syllabus for SPPU Computer Engineering students.
4. Where can I find previous year question papers for AI?
You can find Insem and Endsem AI question papers from 2022, 2023, and 2024 in the "Question Papers" section on this page.
5. Are solutions available for AI practicals?
Yes. Every AI practical is accompanied by a video explanation and a downloadable solution PDF for better understanding.
6. What practicals are covered under AI Laboratory (LP-II)?
Practicals include BFS, DFS, Greedy Algorithm, N-Queens Problem, Chatbot development, and Expert Systems.
7. Can I use these notes for exam preparation?
Absolutely! These notes are curated to help students revise faster and understand key concepts important for university exams.
8. How do I download the AI PPTs and notes?
Click the "Download PDF" links under each unit or section. The files will open in a new tab or directly download based on your browser settings.
9. Who can benefit from this AI content?
SPPU students, AI project developers, and those preparing for AI-related interviews or competitive exams can benefit from this content.
10. How often is this content updated?
The site is regularly updated with new question papers, improved notes, and updated practicals based on the latest academic needs and university changes.