Data Science and Artificial Intelligence for Engineers

Module Introduction

Data Science (DS) and Artificial intelligence (AI) are poised to revolutionize all aspects of Civil Engineering, Environmental Engineering and Applied Earth Sciences. Our interdisciplinary module in Data Science and Artificial Intelligence for Engineers (DSAIE) will offer 2nd year Masters students the opportunity to learn these powerful tools and apply them from the very beginning.

We will focus primarily on Probabilistic Machine Learning and Deep Learning methods, effective data-driven approaches to deal with the uncertainty and the complexity characterizing the challenges of the interconnected natural, living and built environments. We will start by revisiting what we did in the MUDE, and we will end by exploring the latest trends in Generative AI and Large Language Models.

During this module, the students will broaden their engineering understanding through collaboration with peers from diverse backgrounds, following instruction from experts across various programs, and applying what they learn on real-world case studies. The course will also provide plenty of opportunities to further develop their Python coding skills through hands-on exercises and workshops.

By the end of the module, the students will have acquired a practical and holistic understanding of DS/AI and its applications in their fields of choice, which will be extremely valuable for the student future careers.

Module Units

The proposed cross-over module is divided into three units, of similar size:

Unit 1. Probabilistic Machine Learning [LOS 1, 3, 4]

Unit 2. Deep Learning [LOS 1, 3, 4]

Unit 3. Project [LOS 2, 3, 4, 5, 6]