Semester: Fall
Offered: 2024, 2025
This course provides a rigorous, interdisciplinary introduction to machine learning for students in Mineral Engineering, Petroleum Engineering, Earth Sciences, and Mechanical Engineering, with no assumption of prior experience in programming, statistics, or inverse problems. The course emphasizes end-to-end machine learning workflows, beginning with foundational concepts in data preprocessing, statistical analysis, and Python-based programming, and progressing to supervised and unsupervised learning methods including regression, classification, clustering, and dimensionality reduction. Students develop and evaluate neural networks and deep learning models for applications such as image analysis, time-series prediction, and sensor-based data interpretation, with a particular focus on geoscience and engineering datasets. Advanced topics (including ensemble methods, model validation and cross-validation, uncertainty assessment, and transfer learning) are introduced through hands-on assignments and case studies drawn from mining, subsurface characterization, and engineering systems. The course is structured to balance accessibility and rigor across a diverse student cohort by incorporating substantial scaffolding of foundational material alongside applied projects, enabling students to integrate data-driven methods with domain knowledge and to articulate machine learning as a complete, practical problem-solving framework for geoscience and engineering applications.
Semester: Spring
Offered: 2024
This required undergraduate course provides a comprehensive introduction to the mechanical behavior of intact rock and rock masses, with direct application to mining and geotechnical engineering. Core topics include stress–strain relationships, elastic behavior and failure criteria of rocks, characterization and classification of rock masses for engineering design, in-situ stress measurement techniques, and rock deformability. The course integrates theory with hands-on laboratory experience, including sample preparation and standard rock testing methods such as point load, Brazilian tensile, uniaxial compressive, and triaxial compression tests. Through lectures, laboratory experiments, and technical reporting, students develop the ability to design and conduct experiments, analyze and interpret rock mechanics data, and apply engineering judgment to assess stability and performance of underground excavations. Emphasis is placed on teamwork, effective technical communication, and ethical and professional responsibility in safety-critical engineering applications.
Semester: Spring
Offered: 2023, 2024, 2025
This course provides a comprehensive introduction to occupational health and safety principles with a strong emphasis on hazard identification and control, safety management systems, and professional responsibility in engineering practice. Topics include the application of behavioral science to health and safety, regulatory frameworks and enforcement, incident reporting and root-cause analysis, and ethical decision-making in industrial and mining environments. The course integrates engineering judgment with real-world case studies and data-driven analysis, including the use of publicly available MSHA datasets to evaluate human, organizational, and technical factors contributing to accidents and near-miss events. Students develop proficiency in health and safety research and design by applying engineering methodologies to mitigate risk while accounting for public health, safety, welfare, and broader societal, environmental, and economic considerations. Through a combination of lectures, applied assignments, and critical discussion, the course reinforces ethical and professional responsibilities expected of engineers operating in complex, safety-critical systems.
Methods for obtaining, evaluating, and presenting mineral resource data, including ore reserve estimation using geometric weighting and geostatistical techniques, with an emphasis on computer-based analysis.
ME 4040: Mine Ventilation
Semester: Fall
Offered: 2023
Control of underground environmental conditions including dust, gases, temperature, and humidity, with analysis of natural and mechanical ventilation systems, ventilation equipment, and measurement techniques.
Semester: Fall
Offered: 2023
Advanced analysis of underground mine ventilation systems with emphasis on ventilation network analysis, airflow modeling, and design considerations for complex underground mining operations.