Introduction, History, Working of Artificial Intelligence, Types of AI, Intelligent Systems, Foundations of AI, Sub areas of AI - Machine Learning, Expert Systems, Computer Vision, Natural Language Processing, Robotics - Advantages and Disadvantages of AI

Introduction to ML - Importance of ML in Civil Engineering -Components of Machine Learning - Learning Models - Designing a Learning System- Types of Machine Learning - Supervised Learning, Unsupervised Learning, Reinforcement Learning, Advantages and Disadvantages of Machine learning.

Types of supervised learning – Types of unsupervised learning - Supervised Machine Learning Algorithms - Regression –Support Vector Machine– Random Forest (RF)- Decision Tree - K-Nearest Neighbour- Artificial Neural network - UnSupervised Machine Learning Algorithm - Clustering and Dimension Reduction– Principal component Analysis

Introduction– Elements of Reinforcement Learning – Model based learning - Algorithms in Reinforcement Learning – SARSA - Q-Learning, Deep learning - Artificial intelligence vs Machine Learning vs Deep Learning- Case studies

Application of AI - Structural Engineering - Concrete technology – Construction management – Transportation Engineering - Green and smart building – Traffic Engineering – Disaster management – Surveying - Environmental Engineering