Subject: Mechanical Engineering
Credit units: 3
Weekly hours: 3 Lecture hours
College: Graduate and Postdoc Studies
Department: Mechanical Engineering

Many engineering problems involve parameter identifiability and/or parameter estimation. The main objective of this course is to provide students with concepts and methodologies for parameter identifiability and parameter estimation. Topics will include parameter identifiability, model selection, least squares, maximum likelihood and maximum a Posteriori methods for linear nonlinear parameter estimation. Applications to some practical problems are also discussed.

Prerequisite(s): ME 251 and ME 431 or permission of the instructor.

For full details about upcoming courses, refer to the class search tool or, if you are a current student, the registration channel in PAWS.

• Class search
• Registration channel

The syllabus is a public document that provides detail about a class, such as the schedule of activities, learning outcomes, and weighting of assignments and examinations.

Once an instructor has made their syllabus publicly available on USask’s Learning Management System, it will appear below. Please note that the examples provided below do not represent a complete set of current or previous syllabus material. Rather, they are presented solely for the purpose of indicating what may be required for a given class. Unless otherwise specifically stated on the content, the copyright for all materials in each course belongs to the instructor whose name is associated with that course. The syllabus is the intellectual property of instructors or the university.

For more information, visit the Academic Courses Policy , the Syllabus page for instructors , or for students your Academic Advising office.

• Bookstore Textbook Search
• Library Reserves Search
• USask Tutoring Network