Safety Engineering Online Courses
SENG 310/680: Fundamentals of Safety Engineering
Application of scientific and engineering principles in the selection and design of control systems related to chemical, physical, and ergonomic exposures in the process and manufacturing industries; relationships of criteria, analysis and specifications for the assessment and control of occupational-related illnesses.
SENG 321/670: Industrial Safety Engineering
The course emphasizes the various safety-related issues that arise in industrial settings, including health, security, and environmental factors. A broad array of topics will be addressed including performance measurement and regulatory requirements, as well as the handling of toxic/flammable/explosive materials, fire protection, personal protective equipment, emergency response, and accident investigations. Design aspects are included to reduce hazards, and resolve noise and ventilation issues. While the material emphasizes industrial settings, construction, as well as office environments, are covered.
SENG 455/655: Process Safety Engineering
This course is concerned with all aspects of Chemical Process Safety and Loss Prevention. Process Safety differs from Personnel Safety (or Industrial Hygiene), in that it is concerned primarily with the identification of potential hazards and hazardous conditions associated with the processes and equipment involved in the Chemical Process Industries, and methods of predicting the possible severity of these hazards and presenting, controlling, or mitigating them.
SENG 665/SPTP 689: Reliability Engineering
This course will provide the students with the tools and techniques that can be used early in the design phase to effectively influence a design from the perspective of system reliability, maintainability, and availability. An overview of the system’s functional analysis and system architecture development heuristics will be provided. Further, the students will learn to exploit the use of state-of-the-art techniques such as fault tree analysis and Bayesian networks for reliability analysis. Students completing this course will have a good understanding of the actions and goals of a reliability program and will become familiar with current techniques and their use. Examples will cover a range of different applications with the objective of helping the student to appreciate the challenges in the varied components of complex products and engineering systems.