AI & ML Syllabus — Government College of Engineering and Technology,…
Full syllabus, topics and curated resources for AI & ML (Government College of Engineering and Technology, Jammu).
Fundamentals of artificial intelligence, problem-solving and search techniques, knowledge representation, machine learning fundamentals, model performance evaluation, and feature engineering
- Subject code: CST-3706
- University: Government College of Engineering and Technology, Jammu
- Course: BE (2022 onwards)
- Branch: ECE
- Semester: 7
AI & ML syllabus
Unit 1: Introduction to AI
- History and Problems of AI
- AI Techniques, Applications and Tasks
- Goals, Advantages and Disadvantages of AI
- Types of AI and Types of Agents
- Turing Test in AI
- Production Systems and Problem Characteristics
Unit 2: Problem Solving Techniques
- State Space Search and Control Strategies
- Blind Search — Breadth-First and Depth-First Search
- Heuristic Search
- Generate and Test
- Hill Climbing
Unit 3: Knowledge Representation Issues
- Representation and Mappings
- Approaches to Knowledge Representation
- Issues in Knowledge Representation and the Frame Problem
- Procedural vs Declarative Knowledge
Unit 4: Machine Learning Fundamentals
- Introduction to Machine Learning
- Supervised vs Unsupervised Learning
- Classification vs Regression
- Decision Trees and Rule Learners
- Linear and Logistic Regression
- Support Vector Machines
- K-Means Clustering
Unit 5: Measuring Performance of a Model
- Confusion Matrix
- Accuracy, Precision, Recall and F1-Score
- ROC Curves and AUC-ROC
- Precision-Recall Curves
- Confidence Interval for Accuracy
- Hypothesis Tests for Comparing Models