MATH 307 - Applied Linear Algebra

  • Home
  • Homework
  • Exams
  • Lectures

Announcements

  • Follow this space.

Syllabus

This course builds on basic linear algebra courses (221,223) and studies application of linear algebra. In this course you will:

  • Learn properties and constructions of matrix decompositions (LU, QR and SVD)
  • Perform matrix computations using mathematical software Python, SciPy and Jupyter
  • Compute solutions of linear systems of equations using matrix decompositions
  • Compute least squares approximations of linear systems of equations using matrix decompositions
  • Approximate eigenvalues of matrices using iterative methods
  • Analyze digital signals using the discrete Fourier transform

Course details

Section Time Place Instructor Office hours
101 MWF 13:00 BUCH A203 Omer Angel TBA
102 MWF 15:00 Woodward 1 Chunyi Gai TBA
103 TT 8:00 BUCH A103 David Stenlund TBA

Office hours: Office hours will take place as listed above. Students are encouraged to come to their section's office hour, but are welcome at any listed above. You can also visit the math learning centre (MLC) for drop in support at all times.

Online forum: We will use a Piazza forum this term. You can ask any questions regarding the course there. You are encouraged to ask questions there on lectures, assignments, and any course related topic. You are also encouraged to answer other students’ questions. Significant participation may merit extra credits. Obviously, do not share solutions to assignments (on piazza or elsewhere) before assignment due dates.

Textbook: We will follow the course notes by Patrick Walls. The topics of the course are fairly general, and many other resources .

Evaluation

The final mark will be based on:

  • 10% Assignments
  • 10% Canvas Quizzes
  • 40% Midterms
  • 40% final exam
Additional credits may be given for significant participation in Piazza

Missed work: There are no make-up midterms or assignments. Missing a midterm for a valid reason normally results in the weight of the midterm being transferred to the final exam. Personal travel and work conflicts are not considered valid. A student who misses the midterm must submit UBC's self-declaration form as soon as possible. See the UBC Senate's Academic Concession Policy V-135.