This course prepares engineers to be leaders in organizations of varying size by simulating the planning, decision-making, and communication needed to take an idea from germination to execution and delivery, scaling a team from a few people to a ~200 person organization. You will be the VP of Engineering of your own startup where you will pitch an idea, develop it, plan the resources needed to deliver it, hire a team, and manage the organization.

Design of engineering systems, machines, consumer goods, etc. which acommodate the characteristics of human users, operators and manitaners. Methods for obtaining data about human performance, preferences, tolerances, and group behavior needed in engineering design problems. Case methods used with comprehensive readings in the literature. Student projects relating to human factors in design. Prerequisites: one previous course in human factors and consent of instructor.

The goal of any manufacturing enterprise should be to obtain safe, dependable, satisfactory, and economical production within the operating constraints of the process. Students will gain foundational knowledge of industrial control systems focused on manufacturing automation. The course will concentrate on the selection and application of commercial sensors, actuators, and controllers to meet the needs of an individual process, or an enterprise-wide operation.

Introduction to general micro and nano manufacturing methods, i.e., Micro Electromechanical Systems (MEMS), with emphasis on concepts, physics, and instruments of various micro/nano-fabrication techniques that have been widely used in industry and academia. The course contains three main modules: MEMS fabrication, MEMS physics, and MEMS application.

With the advancement of technology, the world is becoming increasingly data rich. Engineers are expected to use large quantities of data as they design and evaluate systems. However, these large amounts of data cannot inform decisions until they are statistically analyzed for patterns and translated into insight. This course will discuss and use the field of probability and statistics to demonstrate its importance and utility in the solution of problems specifically of interest to industrial engineering and engineering management.

Theory and application of linear programming. Includes formulation of linear programming models, simplex, revised simplex and dual simplex algorithms, duality, parametric procedures, interpretation of results, and the decomposition principle. Prerequisite: consent of instructor.

Additive Manufacturing (AM), also known as 3D printing, is a class of disruptive technology that has received significant attention in recent years in both the popular press and the manufacturing industry. This course will cover a comprehensive understanding of various AM technologies and their applications.

Principles of mechanical behavior and failure of metals, polymers, and ceramics. Analysis of problems in design of structural materials that must meet certain strength and performance criteria. Emphasis on the engineering significance and use of various experimentally measured properties such as fatigue life, critical stress intensity factor, relaxation modulus, creep rupture life, and crack growth rate.

The course provides advanced background to fluid mechanics including statics, kinematics, governing equations of fluid flow, viscous flow, inviscid ideal flow and gravity waves.

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