Professional staff will evaluate the request with required documentation, recommend reasonable accommodations, and prepare an Accommodation Letter for faculty. Students with Documented Disabilities: Students who may need an academic accommodation based on the impact of a disability must initiate the request with the Office of Accessible Education (OAE). The more informal goals of this course are to give mathematical tools for thinking about problems that broadly stated can be solved using matrices and vectors-of which there are many! As is usual for an (applied) mathematics class, we will be primarily learning to use tools, not directly discussing how they apply in your particular field of interest. State important factorization results (eigenvalue decomposition, QR factorization, LU factorization, singular value decomposition).Īpply the basic concepts and factorization results to practical problems (solving linear systems, solving least square problems, principal component analysis, low-rank approximations) Illustrate basic concepts (vectors, linear maps, matrices, norms, inner products) and their geometric meaning with explicit examples. Not coincidentally, these make a great list of things to know before the final: Learning Goal 1 You will be asked to turn in your work on these problems with your homework and they will not be posted elsewhere, so if you are not able to attend class, it is your responsibility to get the question from a classmate and work through the computation on your own.Ĭourse Goals: Below are the three official learning goals, as set by the department. We will be supplementing the text liberally with notes available here which do a better job at covering some early material.Īttendance: While I will not take attendance, we will frequently pause at some point in class to work in small groups on a sample calculation. You will be expected to read the sections preceding every homework assignment. There are two copies available on hold in the math library. Text: Numerical Linear Algebra by Lloyd N. Note that we will not fully cover linear algebra concepts that have previously been covered in these courses, so if you have trouble following (especially the first few assignments) you may need to look back through your old notes or textbook. Prerequisites: MATH 51 and MATH 52 or 53 or the equivalent. (Math 113 offers a more theoretical treatment.) Office hours: 5-7pm Monday, Wednesday, and ThursdayĮmail: Description: Linear algebra for applications in science and engineering: orthogonality, projections, the four fundamental subspaces of a matrix, spectral theory for symmetric matrices, the singular value decomposition, the QR decomposition, least-squares, the condition number of a matrix, algorithms for solving linear systems. Office hours: 4-6pm on Monday, 5-7pm on Tuesday, and 5:30-7:30pm Wednesdays Office Hours: 12:30- 2:30 pm on Tuesdays, 12-1 pm on Thursdays and by appointment Office: 382-E (second floor of the math building 380, which is in the north/northwest corner of the main quad) Course Location: 10:30-11:50 am Tuesday & Thursdays in 420-041 (note the location change!)
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