Early Registration Discount
Continuing Education Units (CEUs)
Course Dates & Locations
Sep. 18-20, 2018: Daytona Beach Campus, FL
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Participants will gain practical knowledge and understanding of safety engineering issues when specifying, designing, testing, operating and maintaining hardware and software products as components of safety-critical systems in regulated industries.
Participants are exposed to important concepts of system and software safety, including hazard and risk analysis, failure modes and analysis, formal methods for safety assessment, and safety-critical system development assurance and certification. Use of mathematical modeling is oriented toward showing its contribution on production of high integrity hardware/software systems. Issues of testing, verification, validation, and certification including applicable industry standards (SAE ARP 4754A, SAE ARP 4761, RTCA DO-178C, and RTCA DO-254) are discussed.
Upon completion of the course, the participants shall be able to:
Systems, safety, software/hardware, and aerospace engineers and managers engaged in development of systems for aviation and related industries that may require formal certification. This course is tailored toward individuals actively involved in their organization's development of safety-critical systems. No prior expertise is required.
All participants will be provided with a course notes folder. The folder will be used during the course offering and can be kept by participants at the conclusion of the course.
The participants attending all three days will be awarded a certificate attesting that they successfully completed the requirements of classroom and practical training for “System Safety Engineering and Certification” and will be awarded 2.1 Continuing Education Units (CEU’s).
Radu F. Babiceanu
College of Engineering
Dr. Babiceanu received his Ph.D. degree in Industrial and Systems Engineering, specializing in modeling, design, and analysis of intelligent industrial systems. His methodologies involve systems analysis, engineering optimization, discrete-event and continuous simulation, formal methods, network modeling, computational intelligence, and multi-agent systems.