Presentation of current research activities and literature by faculty, graduate students, and outside visitors. Credit, 1 ea sem.

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

Introduction to the fundamentals of computer programming for engineering problem solving and analysis. Creating algorithms for data manipulation and for solving basic mathematical expressions which model real world phenomena.

The underlying mathematical theory behind the finite element method and its application to the solution of problems from solid mechanics. Includes a term project involving the application of the finite element method to a realistic and sufficiently complex engineering problem selected by the student and approved by the instructor; requires the use of a commercial finite element code. Strong background in linear algebra and calculus recommended. Mr. Grosse

Modeling, analysis, and simulation of dynamic systems. Models for the dynamics of systems from different disciplines derived using differential equations and then transformed into state-space and input/output forms, and finally simulated. Relevant concepts from Laplace Transform, linear algebra, and complex variables covered. The models analyzed for transient response and frequency response properties.

The fundamental principles and applications of heat transfer by conduction, convection, and radiation. Steady state and transient conduction, numerical methods in conduction, convection in internal and external flows, radiation exchange between surfaces. Design of heat exchangers. Prerequisites: M&I-ENG 230 and 340.

Stochastic models including discrete time Markov chains, continuous time Markov processes, Markov decision processes, queuing theory, dynamic programming and their application to manufacturing and service sector engineering processes.

Review of engineering principles of solar energy conversion including collection techniques, thermal and direct conversion, system performance prediction, and selected topics. Prerequisite: M&I-Eng 354.

Introduction to the fundamentals of computer programming for engineering problem solving and analysis. Creating algorithms for data manipulation and for solving basic mathematical expressions which model real world phenomena.

Introduction to principles of human factors (ergonomics). The necessity for considering the human aspect of design of tools, machines, systems of people and machines; the literature, and how to use it; how to quantify data about people.