CIVE 330 Artificial Intelligence and Data Analytics in Civil Engineering
This course introduces undergraduate students in CIVE with fundamental concepts of artificial intelligence (AI) and data analytics (DA) methods, and implications on different fields of civil and environmental engineering. Various AI techniques covered in this course include combinations of fuzzy logic, genetic algorithm, artificial neural networks (ANN), and deep learning. In parallel, massive amount of data is being collected via civil infrastructure-based sensors forming the big-data requiring DA methods to manage it. This course will introduce the students with data management topics including: relational databases, database by structured query language (SQL) and Exploratory DA by Python.
Prerequisite
( ENGR113, or COSC114, or ENGR112), MATH242
Distribution
3-0-3