Jeremy M. Gernand, PhD, CRE, CSP
Associate Professor | Environmental Health and Safety Engineering
John and Willie Leone Family Department of Energy and Mineral Engineering
The Pennsylvania State University
121 Hosler Building | University Park, PA 16802 | jmgernand
[at] psu [dot] edu | 814.865.5861

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The overall goal of my educational contributions at Penn State is to increase the capacity of future engineers to use quantitative risk analysis methods including probabilistic models and data informatics to improve engineers’ abilities to “hold paramount the health and safety of the public.” These courses are based on my 8-year professional career as a Safety and Reliability Engineer, as well as graduate training in Engineering and Public Policy.

I currently teach (or have taught) the following courses at the Penn State University Park campus. Dates for future planned course offerings are tentative until the official course schedule is released by the university.

Safety Engineering

This course includes an investigation of the regulatory and ethical basis for considering safety in the engineering design of systems and operations, as well as the analytical methods for identifying, controlling, and reducing safety risks. Students learn how to identify hazards in a system, develop controls for those hazards, and assess the overall level of risk in a system or operation.

Course offered annually in the Fall semester.
[Fa 2014, Fa 2015, Fa 2016, Fa 2017, Fa 2018, Fa 2019, Fa 2020]

Engineering Risk Analysis

This course trains engineering students in qualitative and quantitative techniques for risk analysis including reliability statistics, fault tree analysis (FTA), and failure modes and effects analysis (FMEA). This course investigates how can we use the concepts of probability to understand uncertain future events and the interaction between an engineered system and its environment.

Course offered annually in the Spring semester.
[Sp 2014, Sp 2015, Sp 2016, Sp 2017, Sp 2018, Sp 2019, Sp 2020, Sp 2021]

EME 524
Machine Learning for EME Problems

This course explores the theory and application of machine learning algorithms relevant to the problems and data sets typical in engineering research and problem solving. Specifically, the creation and validation of machine learning models such as classification and regression trees, artificial neural networks, hierarchical clustering, and genetic algorithms among others. Students have the opportunity apply these techniques to further their own research or explore new directions of interest.

Course offered every other year in the Fall semester.
As EGEE 597: [Fa 2014, Fa 2016]; As EME 524: [TBA]

EME 551
Safety and Environmental Risk Analysis for EME Systems

This course explores methods applicable to quantitative risk assessment for engineering systems including a probabilistic understanding of failure and disasters, the validity of test results and the likelihood and effects of human error and cognitive biases around risk, as well as methodical qualitative analysis techniques for designing more robust, fault tolerant systems.

Course offered annually in the Spring semester.
[Sp 2019, Sp 2020, Sp 2021]

EBF 304W
Global Management for the Energy and Mineral Industries

How should decision makers in a business decide what to do in the face of uncertain project outcomes or the potential for risks from spills, worker injuries, or public opposition? Students in this class learn analytical methods for decision making under conditions of uncertainty and apply these in the context of real world scenarios facing energy and mineral extraction businesses. This course satisfies university requirements for “writing across the curriculum”.

Course offered annually. I taught it in the Spring semester between 2014 and 2017.
[Sp 2014, Sp 2015, Sp 2016, Sp 2017]

EME 460
Geo-Resource Evaluation and Investment Analysis

The course covers engineering evaluation of geo-resources, present value and rate of return analysis, mineral property and reserve estimation, and cost estimation and engineering economy concepts applied to geo-resources including energy and minerals.

Course offered annually in both semesters. I participated as co-instructor in Spring 2016 only.
[Sp 2016]