Courses
ME 410 OSP - Applied Statistics for Mechanical Engineers
Provides an introduction to the application of statistics and probability to the practice of engineering. Students learn how to obtain descriptive statistics and create graphical summaries of data with modern software tools including R. Inferential statistics, correlation and regression are demonstrated with practical examples drawn from engineering applications. Probability distributions and sampling are introduced via application examples. Course is intended to be an approved alternative to STAT451CM. Can NOT be used as an additional elective. [more course details...]
4 Credits - Hybrid Course
|
ME 488 - Design of Experiments
Course Details Soon
4 Credits - Hybrid Course
|
SYSE 591 - Systems Engineering Approach
Engineering of complex hardware, software systems encompasses quantitative methods to understand vague problem statements, determine what a proposed product/system must do (functionality), generate measurable requirements, decide how to select the most appropriate solution design, integrate the hardware and software subsystems and test the finished product to verify it satisfies the documented requirements. Additional topics that span the entire product life cycle include interface management and control, risk management, tailing of process to meet organizational and project environments, configuration management, test strategies and trade-off studies. [more course details...]
4 Credits - Online Course
|
SYSE 575 - Reducing Risk In Decision Making
Examines the concepts, techniques and tools for managing risk and making decisions as key components of the systems engineering process. Risk connotes a measure of the probability and severity of an undesired event. Begins with an overview of the risk management (identifying, assessing, monitoring, and mitigating) and decision process. Differences between mission critical and non-mission critical programmatic risk emphasized. Other topics include the limits of expected value-based risk analysis, decision making strategies such as max/min, min/max and regrets. Formal methods in risk analysis, elementary decision analysis and decision trees, multi-objective decision making, pareto techniques, optimality, and trade-off analysis will be covered. Risk and decision techniques contrasted with the interfacing processes of program management and software engineering, from both the government and industrial perspectives. Prerequisite: experience with systems engineering process. [more course details...]
4 Credits - Online Course
|
EAS 333U - Problems, Solutions, and Systems Thinking
Course Details Soon
4 Credits - Online Course
|
EAS 561 - Reliability Engineering
Failure is a fact of engineering. No product or system can be assumed to work correctly 100% of the
time. The engineering effort to even attempt to design such a system would be both time and cost
prohibitive. In light of that, the reliability of systems can not be ignored and must be studied to ensure,
at least, we grasp the reality we are dealing with. This course provides an in depth study of the
engineering and management of the reliability space. Including describing and quantifying reliability, as
well as examining the modeling, test design, trade off analysis required of engineers involved with
products and systems that do not perform 100% correct at all times. [more course details...]
4 Credits - Online Course
|
ETM 560/660 - Comparative Quality Management Programs [Formerly: Total Quality Management]
Course Details Soon
4 Credits - Hybrid Course
|
|
|
