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Class number:
1797
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Title: Applied Linear Algebra |
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Department: Mathematics |
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Career: Undergraduate |
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Component: Lecture |
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Session: Regular |
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Instructor's Permission Required: No |
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Grading Basis: Regular |
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Units: 1.00 |
| Enrollment limited to 19 |
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Current enrollment: 19 |
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Available seats: 0 |
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Start date: Tuesday, September 3, 2024 |
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End date: Wednesday, December 18, 2024 |
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Mode of Instruction: In Person |
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Schedule: MWF: 10:00AM-10:50AM, MC - 213 |
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Instructor(s): Skardal, Per Sebastian |
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Prerequisite(s): Prerequisite: C- or better in Mathematics 132, 205, 231 or 253, or consent of instructor. |
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Distribution Requirement: Meets Numerical & Symbolic Reasoning Requirement |
Course Description:
An introduction to linear algebra with an emphasis on practical applications and computation. Topics will be motivated by real-world examples from a variety of disciplines, for instance medical imaging, quantum states, Google’s PageRank, Markov chains, graphs and networks,difference equations, and ordinary and partial differential equations. Topics will include solvability and sensitivity of large systems, iterative methods, matrix norms and condition numbers, orthonormal bases and the Gram-Schmidt process, and spectral properties of linear operators. MATLAB will be used for coding throughout the course, although no previous experience is required. Students may not count both Mathematics 228 and Mathematics 229 for credit towards the Math major. |