Clarkson University’s Statistical Methods for Reliability and Life Data Analysis Course Earns Quality Matters Recertification for Course Design Quality
Clarkson University today announced that its online course, Statistical Methods for Reliability and Life Data Analysis (EE603/ME578/BOE620), has been officially recertified by Quality Matters (QM), a leader in quality assurance for online and innovative digital teaching and learning environments. This recertification signifies that the course continues to meet rigorous, research-based standards for course design.
This graduate statistical methods course first received its QM Certification in 2020 and has now successfully undergone the recertification process, extending its commitment to a high-quality learning experience. QM certifications for higher education courses are valid for five years, with recertification extending the status for up to an additional three years. This course is taught by Daniel Eno, an adjunct instructor and professional statistician by trade. Students in either Clarkson’s Master of Science in Electrical & Computer Engineering or Master of Science in Mechanical Engineering online graduate degree programs complete this course.
"It is rewarding to see the design quality of these courses withstand the test of time,” said Laura Perry, Clarkson’s course review manager. "The recertification of this course further affirms the dedication of our highly skilled instructional designers’ and instructors’ for providing our students with a world-class online learning experience.”
The official QM review was conducted by a team of certified peer reviewers who evaluated the course design against a comprehensive set of standards. The recertification confirms that Statistical Methods for Reliability and Life Data Analysis course continues to meet the criteria for effective, student-centered online course design.
