45 courses with the subject EME, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
This introductory course provides a comprehensive overview of subsurface energy resources and their engineering principles. Students will explore the energy industry, focusing on the geological and
Data Analytics for Energy Systems merges introductory statistics with coding through simulation-based inference. Class lectures are split between discussing the concepts and illustrating their application through coding examples. The course is highly data-centric, using mostly datasets pertaining to the energy industry or grand challenges related to energy and sustainability (although some data are generated through fun in-class exercises). The course starts by discussing different types of data and introducing students to basic coding skills to manipulate datasets and extract summary statistics. The course then moves into data visualization, discussing common types of graphical tools and the types of data for which they are appropriate. Simulation-based inference then begins around the third week with bootstrapping in the context of finding confidence intervals, which then moves into hypothesis testing through randomization distributions. The concepts from hypothesis testing carry over into chi-square tests, ANOVA, and regression, which also delves into prediction. Neural Networks and Random Forests are covered at a conceptual and applied level (not getting into the theory) towards the end of the course. The course concludes with some topics in basic probability that weren't covered earlier in the semester. Enforced Prerequisite at Enrollment: MATH 22 or higher General Education: Quantification (GQ) GenEd Learning Objective: Effective Communication GenEd Learning Objective: Crit and Analytical Think
Treatment of classical thermodynamics targeted to the needs of students in the Department of Energy and Mineral Engineering. Enforced Prerequisite at Enrollment: CHEM 112 and PHYS 212 and (MATH 250 or MATH 251) Undergraduate - The Pennsylvania State University 2026-2027 4057
Treatment of fluid mechanics targeted to the needs of students in the Department of EME. Enforced Prerequisite at Enrollment: (MATH 250 or MATH 251) and PHYS 211
Electrochemical concepts in energy storage devices, cell construction and materials involved in batteries and capacitors, electrochemical testing methods and applications. Enforced Prerequisite at Enrollment: (EME 301 or ME 300 or CHE 220) and (EME 303 or ME 320 or CHE 330)
Large-scale deployment of negative emissions technologies (NET's) will be critical to minimize the worst impacts of climate change. NET's encompass technologies that can permanently sequester CO2 emissions, and specifically technologies that remove CO2 from earth systems such that the CO2 balance is net negative. This course covers fundamental technologies for carbon capture and sequestration, with a focus on integrated systems capable of achieving net-negative emissions - including bio-energy production with carbon capture and storage, and direct air capture coupled with geologic carbon sequestration or mineralization. We will integrate methods to assess emission balances and the sustainability of emerging technologies, including life cycle and techno-economic assessment, and the main course deliverable will be a guided sustainability assessment on an NET system. The goal of this course is to help students gain a broad understanding of NET pathways and learn to think critically about these complex systems, as well as the dual challenges of meeting demands for energy and CO2 emission reductions, through a lens of holistic sustainability. Enforced Prerequisite at Enrollment: 5th semester standing or higher
Analysis, formulation, implementation, and impacts of energy-related policies, regulations, and initiatives. Enforced Prerequisite at Enrollment: EBF 200 and EGEE 120 and PLSC 490 Cross-listed with: GEOG 432
Global Energy Enterprise provides in-depth insight into the role that public and private nonmarket actors and actions play in contemporary energy markets through a variety of artifacts and case studies. Students perform a nonmarket analysis of a current energy policy case study through series of guided steps using a well-regarded analytical framework. The course also provides an overview of technical, environmental, economic, and
Energy Crisis Leadership accelerates developing leadership skills, self- awareness, confidence, and character through evidence-based and experiential learning activities. This course equips students with the tools, experience, and knowledge to navigate and manage crises in the energy, natural resources, and transportation sectors. Through immersive case studies and innovative action-based simulations, students will analyze high-profile, real-world events and tackle complex, ambiguous problems under pressure. Students consider these scenarios in global, economic, environmental, legal, and societal contexts, and recognize the ethical and professional responsibilities of the leaders involved. The semester culminates in a 24-hour crisis leadership challenge, where students synthesize their learning to manage a simulated disaster. Graduates of this course will be better equipped to think critically on thei feet, maintain poise under pressure, and strategize effectively through turbulent conditions. Enforced Prerequisite at Enrollment: 7th Semester standing or higher
or IE 302 Engineering Economy Select 3 credits from the following: 3
s Elective (consider fulfilling with EBF or GEOG minor 3 courses or EARTH certificate courses) 30 Total Credits 121 3 * Course requires a grade of C or better for the major 3 ‡ Course requires a grade of C or better for General Education 3 # Course is an Entrance to Major requirement 3 † Course satisfies General Education and degree requirement 2 BA Fields courses are additional GQ, GN, GA, GH, GS or world language courses beyond the program requirements. University Requirements and General Education Notes: s 4 US and IL are abbreviations used to designate courses that satisfy Cultural Diversity Requirements (United States and International 3 Cultures). 3 W, M, X, and Y are the suffixes at the end of a course number used to 3 designate courses that satisfy University Writing Across the Curriculum requirement. General Education includes Foundations (GWS and GQ), Knowledge 3 Domains (GHW, GN, GA, GH, GS) and Integrative Studies (Inter-domain) 3 requirements. N or Q (Honors) is the suffix at the end of a course number used to help identify an Inter-domain course, but the inter-domain 3 attribute is used to fill audit requirements. Foundations courses (GWS and GQ) require a grade of 'C' or better. Bachelor of Arts Requirements: s 4 Bachelor of Arts students must take 9 credits in Bachelor of Arts (B.A.) Fields (Humanities; Social and Behavioral Sciences; Arts; World Languages [2nd language or beyond the 12th credit level of proficiency in the 1st]; Natural Sciences; Quantification). The B.A. Fields courses may 3 not be taken in the area of the student’s primary major. See your adviser 3 and the Degree Requirements section (p. 3340) of this Bulletin. Bachelor of Arts students must take 3 credits in World Cultures. See your adviser and the full list of courses approved as World Cultures 3 courses (p. 3407). Advising Notes:
This class is designed to present a broad range of tools for evaluating energy projects, technologies, and systems. Topics will include project evaluation methods (NPV, discounting), tools for decision/design under uncertainty (Monte Carlo simulation, decision trees, lattices, real options), optimization (linear programming, stochastic programming), and economics/markets/regulation (review of microeconomics, market failures, regulation, and market design). Students will focus both on the intuition and appropriate application of the various methods and theories.
Theoretical background of sustainability issues and studies of sustainability systems.
and Measurements
This class develops the understanding of methods of modeling used for important physical and chemical phenomena involved in energy and mineral engineering systems. These include both separate and mixed solid (solid mechanics) and fluid (computational fluid mechanics) systems, including reactive components. The emphasis is on finite element methods but also includes other continuum methods (LBM, SPH), integral methods, and discontinuum methods. Students will develop working programming modules of simple-through-complex models of interactive physical systems and research materials on some form of computational methods.
This course covers the formulation of and solution methods for a full range of economic-engineering investment and operations problems for electric power systems. Application problems include economic dispatch, unit commitment, optimal power flow, generation capacity expansion, transmission expansion, and modeling of competitive electricity markets. Solution methods include linear programming, mixed integer programming, decomposition methods for stochastic programming (e.g., Lagrangian Relaxation, Benders Decomposition), and mixed complementarity problems, with an emphasis on numerical implementation. RECOMMENDED PREPARATIONS: It is recommended that students be familiar with or have taken EME 501, IE 505, or an equivalent graduate- level course in math programming.
This course provides an overview of the application of machine learning algorithms to problems in earth and energy system sciences and engineering. The course addresses the strengths and weaknesses of various machine learning approaches, as well as appropriate testing and validation techniques for these complex models. Topics include machine learning applications in regression and classification, ranging from linear regression to neural networks. The course focuses on the practical application and interpretation of statistical machine learning methods, while also providing an understanding of the basis and theory behind these methods. An emphasis of this course is for students to apply these methods to specific research problems of interest. Additionally, this course teaches a modern programming language (e.g., R). Students with some background in statistics, but no previous formal training in machine learning algorithms will find this course most useful. Students do not need to have prior experience with a specific programming language to enroll in this course, however, some previous training in statistics or programming will be beneficial. RECOMMENDED PREPARATIONS: Students are recommended to have had some previous basic training in statistics and experience with at least one programming language.
The course provides a broad introduction to analytical methods commonly used in science, technology, and energy policy analysis.
EME 526 covers the theoretical frameworks and quantitative methods for evaluating and designing solar resource projects. Methods will include quantitative solar resource measurement, forecasting, uncertainty quantification, dynamical systems modeling, and game theoretic models. Students will compare and assess alternative theoretical and quantitative approaches in terms of their ability to address a range of important objectives, including economic, technical constraints, robustness to uncertainty, varying risk preferences of stakeholders, and other ethical
3 Energy and Environmental Systems
Large-scale deployment of negative emissions technologies (NET's) will be critical to minimize the worst impacts of climate change. NET's encompass technologies that can permanently sequester CO2 emissions, and specifically technologies that remove CO2 from earth systems such that the CO2 balance is net-negative. This course covers fundamental technologies for carbon capture and sequestration, with a focus on integrated systems capable of achieving net-negative emissions - including bio-energy production with carbon capture and storage, and direct air capture coupled with geologic carbon sequestration or mineralization. We will integrate methods to assess emission balances and the sustainability of emerging technologies, including life cycle and techno-economic assessment, and the main course deliverable will be a guided sustainability assessment on an NET system. The goal of this course is to help students gain a broad understanding of NET pathways and learn to think critically about these complex systems, as well as the dual challenges of meeting demands for energy and CO2 emission reductions, through a lens of holistic sustainability.
This course presents linear and non-linear irreversible thermodynamics as a means to explore the coupling between physicochemical, kinetic, and transport processes. Linear irreversible thermodynamics will be illustrated by well-known and practical phenomena such as Seebeck effect (thermocouple), Peltier effect (dehumidifier), Soret effect (thermal diffusion), etc. Non-linear irreversible thermodynamics will be used for demonstrating the phenomena of bifurcation, self-organization, and dissipative structures that take place in nature and human society. The self-organizing economy will also be discussed to show how the far- from-equilibrium thermodynamics can be applied to some economic phenomena.
Fundamentals of electrochemical science and engineering based on electrochemical thermodynamics and kinetics. EME 541 Electrochemical Science and Engineering Fundamentals (3) The course focuses on the fundamental concepts of electrochemical science and engineering based on thermodynamics and kinetics. The course provides a synopsis of Graduate - The Pennsylvania State University 2026-2027 1101 a variety of electrochemical systems and processes and shows their applicability for a number of industrial applications.
and Mineral Production An additional set of prescribed twelve (12) option credits (as a minimum) must be taken if the student chooses to pursue an EME disciplinary option (petroleum and natural gas engineering, mining and mineral process engineering, fuel science, or energy systems engineering). Students are not required to choose an option and may complete the base program in EME. Students pursuing an M.S. degree in EME will be required to complete a prescribed culminating research experience and the minimum amount of credits associated with each experience, which include the completion of minimum core and option (if any) course requirements. The thesis and non-thesis M.S. culminating experience tracks are: THESIS-BASED M.S. in EME (30 credits total): Students are required to complete a minimum of 30 credits total (at least 18 at the 500 or 600 level) including: 24 credits in course work, 6 thesis credits (EME 600 Thesis Research), and a thesis accepted by the adviser(s) and committee members, the head of the graduate program, and the Graduate School. The student must pass a thesis defense. NON-THESIS BASED M.S. in EME (36 credits total): Students are required . to complete a minimum of 36 credits in total (at least 24 at the 500 level) including: 33 credits in course work and 3 credits for the completion of a culminating research experience. Within the 33 credits of coursework, M.S. students must take at least two extra courses (6 credits) from the EME core course list (beyond the six credit M.S. core requirement) or chosen graduate option (beyond the option’s 12-credit minimum option requirement). The non-thesis culminating research experiences are: • Paper-based M.S.: Students take three (3) credits of non-thesis research (EME 596 Individual Studies) and complete a satisfactory scholarly paper evaluated by adviser(s) and a reader. • Course-based M.S.: Students take a capstone research course (EME 580 Methodology of Research in EME (3 cr.) where they will create a work product demonstrating evidence of analytical thinking and synthesis of knowledge in the Energy and Mineral Engineering field. Doctor of Philosophy (Ph.D.) Requirements listed here are in addition to Graduate Council policies listed under GCAC-600 Research Degree Policies. (https:// gradschool.psu.edu/graduate-education-policies/) The Ph.D. program in Energy and Mineral Engineering emphasizes scholarly research and helps students prepare for research and related
Preparation and characterization of solid catalytic materials and the relationships between their surface, defect, and electronic properties and catalytic activity. MATSE (EME) 570 Catalytic Materials (3)This course covers the preparation and characterization of solid catalytic materials, and the relationships between the surface and electronic properties and pore structure of the materials and their catalytic activity and selectivity. The course includes the following materials: zeolites and molecular sieves; metals and alloys; metal oxides; metal sulfides; and other catalytic materials. Also included are the major applications of catalytic materials in chemical and petroleum industries and in other manufacturing industries for environmental protection. This course can be grouped into three parts: (1) introduction to catalysis and analytical techniques; (2) synthesis and characterization of catalytic materials; and (3) catalysis at surfaces of solid materials. The course is suitable for a broad spectrum of students in energy and mineral engineering, materials science and engineering, fuel science, chemical engineering, chemistry, solid -state science, and environmental engineering. sciences and engineering Cross-listed with: MATSE 570
Analysis of the methodology of the research process through a discussion of the methodology of reading and writing peer-reviewed publications. The students will learn how to more efficiently understand and explain the results available in the published literature, so that they can apply this methodology to organize, present, and discuss their
Presents methods essential for the conduct and analysis of scientific research and spatial characterization in energy and mineral engineering disciplines.
Sustainability Systems (Capstone Course)
/Maximum of 3 Continuing seminars that consist of individual lectures by faculty, students or outside speakers on energy and mineral engineering issues. Cross-listed with: PNG 590
/Maximum of 12 Creative projects, including nonthesis research, that are supervised on an individual basis and which fall outside the scope of formal courses.
/Maximum of 12 Formal courses given on a topical or special interest subject which may be offered infrequently.
Discussion of current and foundational research contributions in Geomechanics including ongoing work by current students
This course will provide students hands-on experience designing research programs to address external market needs that will lead to enhanced Penn State / external collaboration. Classroom lectures will cover topics important for design a new technology program.
/Maximum of 999 Thesis research culminating into the doctoral degree in Energy and Mineral Engineering.
0 Credits/Maximum of 999 Thesis research after successful comprehensive exam culminating into the doctoral degree in Energy and Minerl Engineering.
Total Credits 9
Total Credits 9
Provides in-depth exploration of energy policy development, implementation, and assessment at multiple governmental and corporate scales with emphasis on energy markets.
Industry perspective on the resources, technologies, engineering approaches and externalities involved in deploying renewable energy businesses profitably and sustainably.
Total Credits 12
Methods, economic criteria, and meteorological background for assessing the solar resource with respect to solar energy conversion technologies.
Applications of solar thermal energy (STE) including district heating/ cooling (buildings), industrial process heating, fuel synthesis, desalination, and materials processing.
Technical and theoretical background for utility scale solar energy conversion technologies to generate electric power.
/Maximum of 9 Formal courses given on a topical or special interest subject with a professional orientation that may be offered infrequently; several differen topics may be taught in one year or semester. Energy, Environmental, and Food
Source: Pennsylvania State University-Penn State Erie-Behrend College's catalog, linked per course · table learning_unit · CourseShelf publish 59
