Thomas G. J. Chandler

Instructor: Thomas G. J. Chandler
Teaching Assistant: Hongjing Huang
Course Website: https://canvas.wisc.edu/courses/363888
Piazza Website: https://piazza.com/wisc/fall2023/fa23math320005
Course Syllabus: Math 320(!) (FA23) syllabus
Lectures: MWF 2:25 PM – 3:15 PM (Social Sciences 5231)
Discussion Sessions: DIS-371: T 2:25 PM – 3:15 PM (Van Vleck B215); DIS-372: R 2:25 PM – 3:15 PM (Social Sciences 6228)
Instructor Office Hours: T 12:30 PM – 2:00 PM (virtual, Zoom); R 10:30 AM – 11:30 AM (in-person, Math Learning Center at Table 1)
TA Office Hours: T 9:00 AM – 11:00 AM (in-person, Van Vleck 718)

Introduction to linear algebra, including matrices, linear transformations, eigenvalues and eigenvectors. Linear systems of differential equations. Numerical aspects of linear problems. This course is an accelerated honors course which will follow Chapters 1–6 of the textbook by Gilbert Strang: First Order Equations, Second Order Equations, Graphical and Numerical Methods, Linear Equations and Inverse Matrices, Vector Spaces and Subspaces, and Eigenvalues and Eigenvectors. Further details can be found on the course syllabus.

Textbook: This course will follow Differential Equations and Linear Algebra, by Gilbert Strang. Video lectures by Gilbert Strang can be found here.

Software: MATLAB (MATrix LABoratory) will be used for several demonstrations. UW students have institutional access to MATLAB, see here (UW login required). Learning and using MATLAB is recommended, but is not required for this course; however, assessed homework may require reading, understanding, and writing algorithms in MATLAB-like syntax. Alternatives to MATLAB (e.g. Python and Mathematica) may also be useful to students.

Other material: Handwritten class notes, MATLAB code, homework, and midterm solutions will all be posted on the canvas page.