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