CGN 4304
Machine Learning Applications in Civil Engineering
Leverage machine learning state-of-the-art techniques and tools to solve Civil Engineering problems. Apply fundamentals of data analytics and machine learning techniques to real-world tasks and gain essential knowledge and programming skills (using R) in data preprocessing, feature selection, model comparison, hyperparameter tuning, and machine-learning interpretation. Includes case studies and applications for hands-on experience.
Prerequisites & course information
Grading Scheme: Letter Grade Prerequisite: CGN 3421 . Attributes: Artificial Intelligence
Sources
- Course catalogue ↗2025-2026
- Catalogue entry ↗
Catalogue variants
- Machine Learning Applications in Civil Engineering · 3 Credits