EE 178: Probabilistic Systems Analysis (EE 278A)
Introduction to probability and statistics and their role in modeling and analyzing real world phenomena. Events, sample space, and probability. Discrete random variables, probability mass functions, independence and conditional probability, expectation and conditional expectation. Continuous random variables, probability density functions, independence and expectation, derived densities. Transforms, moments, sums of independent random variables. Simple random processes. Limit theorems. Introduction to statistics: significance, estimation and detection. Prerequisites: basic calculus and linear algebra.
Terms: Aut, Spr

Units: 34

UG Reqs: GER:DBEngrAppSci

Grading: Letter or Credit/No Credit
Instructors:
Prabhakar, B. (PI)
;
Weissman, T. (PI)
ENERGY 101: Energy and the Environment (EARTHSYS 101)
Energy use in modern society and the consequences of current and future energy use patterns. Case studies illustrate resource estimation, engineering analysis of energy systems, and options for managing carbon emissions. Focus is on energy definitions, use patterns, resource estimation, pollution. Recommended:
MATH 21 or 42.
Terms: Win

Units: 3

UG Reqs: GER:DBEngrAppSci, WAYAQR, WAYSMA

Grading: Letter or Credit/No Credit
ENERGY 102: Renewable Energy Sources and Greener Energy Processes (EARTHSYS 102)
The energy sources that power society are rooted in fossil energy although energy from the core of the Earth and the sun is almost inexhaustible; but the rate at which energy can be drawn from them with today's technology is limited. The renewable energy resource base, its conversion to useful forms, and practical methods of energy storage. Geothermal, wind, solar, biomass, and tidal energies; resource extraction and its consequences. Recommended:
MATH 21 or 42.
Terms: Spr

Units: 3

UG Reqs: GER:DBEngrAppSci, WAYSMA

Grading: Letter or Credit/No Credit
Instructors:
Gerritsen, M. (PI)
;
Monroe, I. (PI)
ENERGY 120: Fundamentals of Petroleum Engineering (ENGR 120)
Lectures, problems, field trip. Engineering topics in petroleum recovery; origin, discovery, and development of oil and gas. Chemical, physical, and thermodynamic properties of oil and natural gas. Material balance equations and reserve estimates using volumetric calculations. Gas laws. Single phase and multiphase flow through porous media.
Terms: Aut

Units: 3

UG Reqs: GER:DBEngrAppSci, WAYFR, WAYSMA

Grading: Letter or Credit/No Credit
ENERGY 121: Fundamentals of Multiphase Flow (ENERGY 221)
Multiphase flow in porous media. Wettability, capillary pressure, imbibition and drainage, Leverett Jfunction, transition zone, vertical equilibrium. Relative permeabilities, Darcy's law for multiphase flow, fractional flow equation, effects of gravity, BuckleyLeverett theory, recovery predictions, volumetric linear scaling, JBN and JonesRozelle determination of relative permeability. Frontal advance equation, BuckleyLeverett equation as frontal advance solution, tracers in multiphase flow, adsorption, threephase relative permeabilities.
Terms: Win

Units: 3

UG Reqs: GER:DBEngrAppSci

Grading: Letter (ABCD/NP)
ENERGY 167: Engineering Valuation and Appraisal of Oil and Gas Wells, Facilities, and Properties (ENERGY 267)
Appraisal of development and remedial work on oil and gas wells; appraisal of producing properties; estimation of productive capacity, reserves; operating costs, depletion, and depreciation; value of future profits, taxation, fair market value; original or guided research problems on economic topics with report. Prerequisite: consent of instructor.
Terms: Win

Units: 3

UG Reqs: GER:DBEngrAppSci

Grading: Letter or Credit/No Credit
ENERGY 180: Oil and Gas Production Engineering (ENERGY 280)
Design and analysis of production systems for oil and gas reservoirs. Topics: well completion, singlephase and multiphase flow in wells and gathering systems, artificial lift and field processing, well stimulation, inflow performance. Prerequisite: 120.
Terms: not given this year

Units: 3

UG Reqs: GER:DBEngrAppSci

Grading: Letter (ABCD/NP)
ENGR 10: Introduction to Engineering Analysis
Integrated approach to the fundamental scientific principles that are the cornerstones of engineering analysis: conservation of mass, atomic species, charge, momentum, angular momentum, energy, production of entropy expressed in the form of balance equations on carefully defined systems, and incorporating simple physical models. Emphasis is on setting up analysis problems arising in engineering. Topics: simple analytical solutions, numerical solutions of linear algebraic equations, and laboratory experiences. Provides the foundation and tools for subsequent engineering courses.
Terms: Aut, Sum

Units: 4

UG Reqs: GER:DBEngrAppSci

Grading: Letter or Credit/No Credit
Instructors:
Cappelli, M. (PI)
ENGR 14: Intro to Solid Mechanics
Introduction to engineering analysis using the principles of engineering solid mechanics. Builds on the math and physical reasoning concepts in
Physics 41 to develop skills in evaluation of engineered systems across a variety of fields. Foundational ideas for more advanced solid mechanics courses such as ME80 or
CEE101A. Interactive lecture sessions focused on mathematical application of key concepts, with weekly complementary lab session on testing and designing systems that embody these concepts. Limited enrollment, subject to instructor approval.
Terms: Aut, Win, Spr

Units: 4

UG Reqs: GER:DBEngrAppSci

Grading: Letter (ABCD/NP)
Instructors:
Mitiguy, P. (PI)
;
Sheppard, S. (PI)
ENGR 15: Dynamics
The application of Newton's Laws to solve static and dynamic problems, particle and rigid body dynamics, freebody diagrams, and writing equations of motion. 2D and 3D cases including gyroscopes, spacecraft, and rotating machinery. Solution of equations of motion and dynamic response of simple mechanical systems. Prerequisites: Calculus (differentiation and integration), E14 (statics and strength),nand a mechanics course in physics (e.g.,
Physics 41).
Terms: Aut, Spr

Units: 3

UG Reqs: GER:DBEngrAppSci, WAYSMA

Grading: Letter (ABCD/NP)
Instructors:
Lew, A. (PI)
;
Mitiguy, P. (PI)
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