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.

Biomimicry is an approach to innovation that seeks sustainable solutions to human challenges by emulating nature's time tested patterns and strategies. In this class students will be introduced to the fundamentals of polymeric materials so that the useful pattern from the nature can be replicated in polymers economically and provides better engineering solutions to human's need. Application of polymeric materials and processing methods to biomimicry including moth eye, shark skin, morpho butterfly, lotus leaves, gecko feet, moth's eye, etc. will be covered.

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.

Senior design course on energy use in buildings. Psychometrics, comfort conditions, heating and cooling loads for buildings. Heating, ventilation, and air conditioning equipment design and selection. Energy recovery and conservation methods.

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.

Theory and execution of selected mechanical engineering measurements. Lectures and 1 three-hour lab meeting.

Students will become experts in wind turbine technology via a semester long design project, which will utilize modern wind design and analysis codes.

A working knowledge of the principles and methods of computer simulation for the analysis and design of complex systems. Emphasis on the development of the basic methods required for next-event simulations. Techniques required for validating and verifying computer simulations. Prerequisite: M&I-ENG 273. M&I-ENG 390M concurrently.

The objective of this class is to gain a deeper understanding of several issues related to teaching and learning, including how students learn, different methods of instruction and mentoring, and the challenges in making and grading assignments.

Integrated treatment of elements of engineering economy, economics, accounting, and finance and operations research to provide a unified background for economic decision making. Prerequisite: background in economics, engineering, elementary probability theory, and undergraduate economics.