Discussion of fundamental methods for medical device development. Study of the process of medical device development, from concept to marketing. Analysis of procedures of product definition, design, risk management, production planning and market introduction, FDA (Food and Drug Administration) regulations, and intellectual property protection. Case studies illustrating important considerations to manage the complexities of the development process are included.

Requisites: ININ4020 or INME4055 or INEL4205 or INQU4008 or Authorization of the Department

Schedule:  Tu, Th 2:00 PM – 3:20 PM

Development of probability theory for scientific and engineering inference. Discrete and continuous random variables and distributions and their applications in engineering. Hypothesis testing and confidence intervals. Regression analysis. Applications to engineering problem solving.

Requisites: Authorization of the Department

Schedule:  W 6:30 PM – 9:20 PM

Notes: Not available for Industrial Engineering Majors

This course will provide an overview of the essential skills relevant to managing cross-disciplinary engineering teams in industries. Students will focus on the fundamental skills and applications of engineering management and will be introduced to relevant business and engineering topics related to management.

Topics include specific areas of finance and accounting, project management, marketing, communication and leadership, management of innovation, science and technology, ethics, and entrepreneurship that apply to the management of cross-disciplinary engineering teams.

Requisites:  Authorization of the Department

Schedule:  Tu, Th 9:00 AM – 10:20 AM

Human factors applications in the design of equipment and work environment. Methods for the analysis of human errors and skills and their utilization in the design of control systems and information displays.

Requisites:  Authorization of the Department

Schedule:  Th 6:30 PM – 9:20 PM

Advanced topics in production control systems and supply chain where the techniques of optimization, mathematical modelling and simulation are employed.

 Requisites: Authorization of the Department

Schedule: Tu 6:30 PM – 9:20 PM 

Fundamentals of material handling systems including types of equipment and their applications, relationship between material handling and design of facilities, computer control, and automation.

Requisites: Authorization of the Department

Schedule: Tu 6:30 PM – 9:20 PM 

Applications, analogies, and differences among confidence intervals, prediction intervals, and tolerance intervals. Fundamental concepts and applications of response surface methodology and evolutionary operations to manufacturing processes. Case study of manufacturing experiments with dichotomous or polytomous response variables. Use of logistic regression for modeling the relationship between a categorical variable and a set of covariates. Effective modeling strategies and the interpretation of results are emphasized. Fundamental concepts in design and analysis of experiments with mixtures. Statistical techniques and methods for designing, modeling, and analyzing mixture data. Extensive use of software packages for statistical data analysis.

Requisites: Authorization of the Department

Schedule: M 6:30 PM – 9:20 PM