Course module
Paper 2 | Artificial Intelligence & High Performance Computing — UPPSC Polytechnic Lecturer (Computer Science) Course
Explore the module outline and lessons below. Enroll free to begin studying here.
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- Lessons
- 197
- Duration
- 16 hr 33 min
- PYQs
- 6
- Practice
- 326
2% of this course's PYQ weight is covered in this module.
Syllabus index
Lessons in this module
Approaches to AI
Foundations and Evolution of AI
Philosophical and Theoretical Approaches to AI
Problem Representation in AI
Search Algorithms
Uninformed Search Strategies
Fundamentals of Heuristic Search
Best First Search
A* Search Algorithm
AO* and Branch-Based Search
Local Search Fundamentals
Advanced Local Optimization Techniques
Game Playing
Introduction of Game Playing
Puzzle-Based State Space Search
Minimax Search Algorithm
Alpha-Beta Pruning Technique
- Alpha-Beta Pruning TechniquePdf
- Alpha- Beta PruningDrm Video
- Working of Alpha- Beta PruningDrm Video
- Practice question on Alpha- Beta Pruning_4Drm Video
- Practice question on Alpha- Beta Pruning_3Drm Video
- Practice question on Alpha- Beta Pruning_2Drm Video
- Practice question on Alpha- Beta Pruning_1Drm Video
- Practice question on Alpha- Beta PruningDrm Video
- Practice question on AI PropertiesDrm Video
Constraint Satisfaction Problem
Knowledge Representation
Foundations of Knowledge Representation
Logical Reasoning Principles
Normal Forms and Logical Transformation
Inference Mechanisms in First Order Logic
Structured Knowledge Representation Models
Script-Based Knowledge Representation
Planning
Fundamentals of Planning
State-Space Planning Approaches
Non-Linear and Plan-Space Planning
Planning Challenges and Anomalies
Hierarchical Planning Techniques
Multi Agent Systems
Foundations of Intelligent and Rational Agents
Task Environment Classification
Environment Complexity Dimensions
Agent Architecture and Program Types
Knowledge Sharing and Coordination
Natural Language Processing
Introduction to Natural Language Processing
NLP Processing Stages
Discourse and Context Integration
Emerging Tech Trends
Emerging Trends – Introduction
Pattern Matching in AI
Computer Vision in AI
Robotics
Big Data
IoT, Sensors & Smart Cities
Cloud Computing
Grid Computing & Blockchain
Cluster & Beowulf Computing
Module lessons
Previous-year questions
PYQ collectionPYQ Questions1 questionsPYQ collectionPYQ Questions1 questionsPYQ collectionPYQ Questions1 questionsPYQ collectionPYQ Questions1 questionsPYQ collectionPYQ Questions1 questionsPYQ collectionPYQ Questions3 questionsPYQ collectionPYQ Questions1 questionsPYQ collectionPYQ Questions1 questionsPYQ collectionPYQ Questions1 questionsPYQ collectionPYQ Questions1 questionsPYQ collectionPYQ Questions6 questions
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