ST-Simulation-Based Optimizatn

This class will look at optimization problems related to stochastic systems for which the analytical form of the objective function are not known or are too complex to formulate. But the value of the function can be evaluated at specific points of the decision variables through simulation, and the problem can be solved using numerical optimization techniques. We will learn multiple algorithms for solving such problems. We will look at both static systems (parametric optimization) and dynamic systems (control optimization).

Power Systems Design

Energy sources and power systems used by industry and utilities to produce electricity, mechanical power, process heating and cooling are examined for energy efficiency and economic feasibility. Analysis and design of thermal systems and specific components are considered. Prerequisites: M&I-Eng 340 and 354.

M E Lab I

Important mechanical properties of materials engineering such as yield strength and fracture toughness experimentally investigated with a view towards materials selection and design. Skills emphasized: experimental technique, statistical analysis of data, report writing, and oral presentation.

HIV,TB,&Malaria:SimulModeling

This General Education course addresses fundamental questions, ideas, and methods of analyses in the social and behavioral sciences with relevance to the area of public health. It introduces students to the cultural, social and behavioral factors that impact disease epidemiology and transmission of communicable diseases, that are determinants of diseases, and that effect health inequities. It introduces students to systems thinking and systems simulation modeling in disease prevention.

Intro Matl Science

Engineering materials including metals, polymers, ceramics, and composites. Emphasis on the relationship between the microstructure of materials and their mechanical behavior, including the fundamentals of design for performance. Prerequisite: CHEM 111.

ST-Adv Materials Characteriztn

This course covers the fundamental principles behind characterization approaches such as electron microscopy/spectroscopy, x-ray spectroscopy, diffraction, atomic force microscopy, and synchrotron techniques employed in the development of materials application. Lectures are supplemented by 4-5 laboratory demonstrations of the techniques throughout the term.

Stat Quality Control

Introduction to the fundamental tools of statistical quality control and related statistical techniques. Topics include control charts, sampling plans, process capability indices, and other statistical techniques. Emphasis on basic concepts, their application, and the risks associated with various quality control procedures.
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