Course Description  Second course in linear algebra from a computational yet geometric point of view. Elementary Hermitian matrices, Schur's theorem, normal matrices, and quadratic forms. MoorePenrose generalized inverse and least square problems. Vector and matrix norms. Characteristic and singular values. Canonical forms. Determinants and multilinear algebra. 
Prerequisites  Math 18 or Math 20F or Math 31AH, and Math 20C, or consent of instructor. 
Textbook  Gilbert Strang, Linear Algebra and its Applications, 4th ed., Brooks Cole, 2005. (We will cover most of Chapters 1  6.) 
Syllabus  Click here for a schedule of lectures and topics. 
Lectures  3:00 pm  3:50 pm, Mondays, Wednesdays, and Fridays, Peterson Hall 110. 
Instructor  Bo Li. Office: AP&M 5723. Phone: (805) 5346932. Email: bli@math.ucsd.edu. Office hours: 11:30  12:15, Mondays and Fridays. 
Discussion Sessions 

Teaching Assistants 

Grader 

Homework 
Homework will be assigned, collected, and partially graded regularly.
Click
here for the assignments.
Unless otherwise instructed, each homework is due in homework dropbox by 4:30 pm of Wednesday,
a week after its assigned. One homework assignment with the lowest score will be dropped.
Note: no late homework will be accepted unless a written verification of a valid excuse (such as hospitalization, family emergency, religious observance, court appearance, etc.) is provided. 
Exams 
There will be one midterm and one final, closebook and closenote exams.
The final exam will be cumulative.
Midterm exam: 3:00 pm  3:50 pm, February 10, 2017. Peterson Hall 110. Final exam: 3:00 pm  5:59 pm, Wednesday, March 22, 2017. Peterson Hall 110. Note: neither rescheduled nor makeup exams will be allowed unless a written verification of a valid excuse (such as hospitalization, family emergency, religious observance, court appearance, etc.) is provided. 
Grading  The final course grade will be determined based on the homework and exams with the weights: homework  25%, midterm exam  30%, and the final exam  45%. One homework assignment with the lowest score will be dropped. The final course grade will be curved. 
Academic Integrity  All students are expected to conduct themselves with academic integrity. Violations of academic integrity will be treated seriously. See the official UCSD Policy on Integrity of Scholarshiop and the related information. 