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EGN 5215

Machine Learning Applications in Civil Engineering

3 Credits

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.

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