EGN 5215
Machine Learning Applications in Civil Engineering
Students will leverage state-of-the-art techniques and tools in machine learning to solve Civil Engineering problems. Fundamentals of data analytics and machine learning techniques will be applied to real-world tasks in Civil Engineering. Students will gain essential knowledge and programming skills (using R) in data preprocessing, feature selection, model comparison, hyperparameter tuning and machine-learning interpretation. Case studies and applications are included for hands-on experience.
Prerequisites & course information
Grading Scheme: Letter Grade Prerequisite: Undergraduate level courses in probability and statistics.
Sources
- Course catalogue ↗2025-2026