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51 - 60 of 67 results for: ME

ME 371: Combustion Fundamentals

Heat of reaction, adiabatic flame temperature, and chemical composition of products of combustion; kinetics of combustion and pollutant formation reactions; conservation equations for multi-component reacting flows; propagation of laminar premixed flames and detonations. Prerequisite: 362A or 370A, or consent of instructor.
Terms: Win | Units: 3

ME 378: Tell, Make, Engage: Action Stories for Entrepreneuring

Individual storytelling action and reflective observations gives the course an evolving framework of evaluative methods, from engineering design; socio cognitive psychology; and art that are formed and reformed by collaborative development within the class. Stories attached to an idea, a discovery or starting up something new, are considered through iterative narrative work, storytelling as rapid prototyping and small group challenges. This course will use qualitative and quantitative methods for story engagement, assessment, and class determined research projects with practice exercises, artifacts, short papers and presentations. Graduate and Co-Term students from all programs welcome. Class size limited to 21.
Terms: Aut, Win, Spr | Units: 1-3 | Repeatable for credit
Instructors: Karanian, B. (PI)

ME 391: Engineering Problems

Directed study for graduate engineering students on subjects of mutual interest to student and staff member. May be used to prepare for experimental research during a later quarter under 392. Faculty sponsor required.
Terms: Aut, Win, Spr, Sum | Units: 1-10 | Repeatable for credit

ME 392: Experimental Investigation of Engineering Problems

Graduate engineering students undertake experimental investigation under guidance of staff member. Previous work under 391 may be required to provide background for experimental program. Faculty sponsor required.
Terms: Aut, Win, Spr, Sum | Units: 1-10 | Repeatable for credit

ME 393: Master's Directed Research

Directed research experience for MS students in mechanical engineering who are pursuing the Distinction in Research (DiR). The student is responsible for securing a faculty research advisor and will register under that advisor's section number. Students must provide confirmation of faculty research advisor's agreement to supervise DiR, at which time they will receive a permission code from ME Student Services allowing them to enroll. Course may be repeated for credit.
Terms: Win, Spr, Sum | Units: 1-10 | Repeatable for credit

ME 395: Seminar in Solid Mechanics

Required of Ph.D. candidates in solid mechanics. Guest speakers present research topics related to mechanics theory, computational methods, and applications in science and engineering. May be repeated for credit.
Terms: Aut, Win, Spr | Units: 1 | Repeatable for credit

ME 398: Ph.D. Research Rotation

Directed research experience for first-year Mechanical Engineering Ph.D. students with faculty sponsors. The student is responsible for arranging the faculty sponsor and registering under the faculty sponsor's section number. Course may be repeated up to four times in the first year. A different faculty sponsor must be selected each time.
Terms: Aut, Win, Spr, Sum | Units: 1-4 | Repeatable 4 times (up to 16 units total)

ME 400: Thesis (Engineer Degree)

Investigation of some engineering problems. Required of Engineer degree candidates
Terms: Aut, Win, Spr, Sum | Units: 2-15 | Repeatable for credit

ME 405: Asymptotic Methods in Computational Engineering

This course is not a standard teaching of asymptotic methods as thought in the applied math programs. Nor does it involve such elaborate algebra and analytical derivations. Instead, the class relies on students' numerical programming skills and introduces improvements on numerical methods using standard asymptotic and scaling ideas. The main objective of the course is to bring physical insight into numerical programming. The majority of the problems to be explored involve one- and two-dimensional transient partial differential equations inspired by thermal-fluid and transport engineering applications. Topics include: 1-Review of numerical discretization and numerical stability, 2-Implicit versus explicit methods, 3-Introduction to regular and singular perturbation problems, 4-Method of matched asymptotic expansions, 5-Stationary thin interfaces: boundary layers, Debye layers, 6-Moving thin interfaces: shocks, phase-interfaces, 7-Reaction-diffusion problems, 8-Directional equilibrium and lubrication theory.
Terms: Win | Units: 3

ME 451C: Advanced Fluid Mechanics - Low-Order Modeling for Turbulent Flow

Statistical analysis of turbulent flow data. Modal representations. Goals for low - order models, observability and controllability. Data-driven techniques: proper orthogonal decomposition (POD)/principal component analysis (PCA), spectral POD, dynamic mode decomposition, linear stochastic estimation, and their extensions. Disambiguating linear and nonlinear effects, sparse identification of nonlinear dynamics (SINDy), Koopman analysis, etc. Equation-driven models: eigenanalysis, pseudospectra, resolvent analysis. Connections between data-driven and equation-driven modeling approaches. Low-order models for turbulent flows. Prerequisites: Familiarity with turbulent flows ( ME 361), or consent of the instructor.
Terms: Win | Units: 3
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