Syllabus

Module 1: Fundamentals of Artificial Intelligence in Civil Engineering [8 hours]
Introduction to Artificial Intelligence, Machine Learning, and Deep Learning, Role of AI in Civil Engineering domains
Module 2: Basics of Optimisation in Engineering Design [8 hours]
Optimisation problem formulation in civil engineering, Objective function, decision variables, Graphical optimisation, linear programming, simplex method
Module 3: Constraints and unconstrained optimisation problems [6 hours]
Constraints and unconstrained optimisation methods, Single-variable and multivariable optimisation with applications
Module 4: Classical and Metaheuristic Optimisation Algorithms [6 hours]
Traditional optimization algorithms (Direct search method, Gradient-based methods, Newton’s method, Levenberg-Marquardt method), Evolutionary algorithms (Genetic Algorithms (GA), Particle Swarm Optimisation (PSO)), with application examples
Module 5: Artificial Neural Networks and Deep Learning in Civil Engineering [8 hours]
Introduction to Artificial Neural Networks (Network architecture, learning, Deep learning basics – CNN, RNN with Application to civil engineering

To introduce the fundamentals of Artificial Intelligence and its relevance to civil engineering.
To understand the optimal problem formulation for a given problem and learn to solve it using traditional optimisation methods.
To understand the working principle and application of Evolutionary algorithms for design applications.
To apply ANN to a civil engineering optimisation problem.
To apply AI and Deep learning techniques for civil engineering applications.

CO1 Understand the basic concept of AI and Optimal Problem Formulation
CO2 The students will be able to understand the single and multi-variable optimisation methods.
CO3 The students will acquire knowledge regarding Direct search and Gradient-based optimisation methods.
CO4 The students will be able to understand the concept of dealing with optimisation problems with Evolutionary optimisation algorithms.
CO5 The students will be able to apply ANN and Deep learning techniques for civil engineering design and optimization problems.

Kalyanmoy Deb, Optimization for Engineering Design: Algorithms & Examples, Prentice Hall India , 2nd Edition

Arora,J.S, Introduction to Optimum Design, 2nd Edition,, McGraw-Hill Book Company,, McGraw-Hill Book Company 2000 , 2nd Edition

Rao,S.S, Engineering Optimization, Theory and Applications, New Age International publication , 3rd Edition