CIEN E4256
Applied Machine Learning in Civil Engineering
Utilization of data in everyday civil infrastructure. Optimization of decision-making for owners, facility managers, and policy-makers based on predictive results. Provides students with basic understanding of machine learning concepts and methods to formulate civil engineering problems to prediction problems. Introduces students to classic machine learning algorithms, deep learning algorithms, algorithmic thinking, and probabilistic views, and their applications in existing civil engineering problems.
Prerequisites & course information
Prerequisites: Basic linear algebra. Basic probability and statistics. Familiarity with python.
Sources
- Course catalogue ↗2026-2027