Work you complete in the non-credit experience will transfer to the for-credit experience when you upgrade and pay tuition. See How It Works for details.
Course Type: Elective
Specialization: Foundations of Autonomous Systems
Instructor: Dr. Majid Zamani, Associate Professor
Prior knowledge needed:
We anticipate that students possess a grasp of fundamental mathematical concepts equivalent to those covered in the first year of studies for STEM majors at a US college. Additionally, a familiarity with basic differential equations and linear algebra is expected. This encompasses key principles, including:
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Sets and Functions: Proficiency in understanding the properties of sets, along with a clear comprehension of function definitions and their associated properties.
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Eigenvalues and Eigenvectors: A basic knowledge of eigenvalues and eigenvectors of matrices, coupled with an ability to perform matrix-vector multiplication.
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Systems of First Order Linear Differential Equations: A basic knowledge in solving and analyzing systems of first-order linear differential equations.
Learning Outcomes
Course Grading Policy
Assignment |
Percentage of Grade |
---|---|
6 Assignments |
60% (10% each) |
3 Quizzes |
20% (6.7% each) |
Final Exam |
20% |
Total |
100% |