Offered at Pratt & Whitney Aircraft, East Hartford CT - Engineering Building

Fall 2008

ME 5110: Advanced Thermodynamics [ME 320-1] TBD 5:00 to 8:00PM Dr. Amir Faghri (860) 486-0419 faghri@engr.uconn.edu Microscopic view of thermodynamics: probability and statistics of independent events, thermodynamic probabilities and most probable thermodynamic distributions, molecular structure and partition function. Ensemble of microstates describing macro behavior, ideal gas as an example, Macroscopic descriptions of thermodynamic equilibrium and equilibrium states, Reversible processes, Heat and Work interactions, Mixtures of pure substances and chemical equilibrium, Stability and phase transitions, Irreversible thermodynamics, Onsager reciprocity relations and thermo-electric effects, Kinetic theory of gases

ME 5507: Engineering Analysis ([ME307] counts as ENGR311) Tuesday 4:30 to 7:30PM Dr. Thomas Barber (860) 486-5352 barbertj@engr.uconn.edu Matrix algebra, indicial notation and coordinate transformations. Cartesian and general vectors and tensors, vector and tensor calculus. Partial differential equations: Fourier series, solution procedures to boundary value problems in various domains. Applications to the mechanics of continuous media. Text: Kreyzig, E., Advanced Engineering Mathematics, 8th edition, John Wiley & Sons, New York, 1999. ISBN 0-471-15496-2

ME 5985: Spec. Topics: Optimum, Robust and Risk Based Engineering Design TBD 5:00 to 8:00 Dr. Kazem Kazerounian (860) 486-2251 kazem@engr.uconn.edu Applications of optimization methodologies, simulation techniques, probability theory and statistics in planning, analysis, and design of engineering systems. Development of probabilistic models for risk and reliability evaluation. This course will include a substantial project on modeling and design of an industry relevant system. Participants in this course will learn how to formulate and model engineering systems, and their merit characteristic measures. They will then learn how to change the system parameters to optimize these merit characteristic measures, make them robust to inaccuracies and unpredictability affecting the system. Students will learn how to estimate the robustness of engineering systems and evaluate the risk of failure.

MSE 5309: Transport Phenomena in Materials Science and Engineering [MMAT 309] Thursday 5:00 to 8:00PM Dr. George Rossetti (860) 486-2922 rossetti@ims.uconn.edu
Quantitative treatment of mass, energy, and momentum transfer will be discussed in the context of materials science and engineering applications. Increasingly complex and open-ended applications will be used to illustrate principles of fluid flow; heat conduction, radiation, and diffusion.
Text: Transport Phenomena in Materials Processing, Poirier, D.R. & Geiger, G.H., Pub. TMS (HTTP://DOC.TMS.ORG) ISBN: 0-87339-272-8

ENGR 312: Engineering Project Planning and Management TBD 5:00 to 8:00 Dr. Ed Crow (860) 486-3688 crow@engr.uconn.edu
All engineering work can be defined as a complete or part of a project. Engineering projects are then an ongoing part of an engineer's activities whether it be self-management, being a part of, or leading a project team. The fundamental building blocks of a project are consistent whether applied to small or large projects and lend themselves to application and development. This course provides the fundamentals of a project construction and engineering management through development of each of the building blocks that make up a project. Students will learn and apply the tools and techniques of project development, monitoring, assessment, and leadership in this course. Tools and techniques include: GANTT charts, work breakdown structures, risk assessment, Pareto analysis, and others.
Text: Project Management: A Managerial Approach; 6th Edition. Meridith, J.R. and Mantel, Jr., Pub. Wiley, ISBN: 0471715379

ENGR 300-XX Project - Offered at either site. Project is matched with faculty member specializing in that application This course involves solution of engineering problems at an advanced graduate level using an investigative approach. Formulating a problem statement and a solution approach, conducting a literature survey, collecting and analyzing data, and preparing a final report are included in the course. The grade for the course will be given based upon the quality and novelty of the final report. The final report must include a unique computational, experimental and/or theoretical component that clearly demonstrates the student's ability to perform graduate-level engineering research, performed under the guidance of a faculty member. Students are expected to meet with their faculty advisors on a regular basis (approximately once per week). The student should expect to dedicate the same amount of time to ENGR 300 as they would dedicate to a regular 3 hour graduate course in engineering.