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Course Type: Elective
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Specialization: Foundations of Autonomous Systems
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Instructor: Dr. Majid Zamani, Associate Professor
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Prior knowledge needed:
This second course in the specialization focuses on modeling requirements. It is highly recommended that students take the first courses that focus on the core structure in any autonomous system before attempting this course. 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.
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Learning Outcomes
Course Grading Policy
Assignment |
Percentage of Grade |
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6 Assignments |
60% (10% each) |
3 Quizzes |
20% (6.7% each) |
Final Exam |
20% |
Total |
100% |