Course Syllabus: MATH 202A, Fall 2017

Instruction

Instructor: Prof. Jiawang Nie

Office: AP&M 5864.

Phone: (858) 534-6015.

Email: njw "AT" math . ucsd . edu.

Office hours: 4:00 - 5:00 (MF).

Lectures

Time: 1:00 pm - 1:50 pm on MWF

Location: APM 5402

TA Contact Info

Eric Evert: eevert@ucsd.edu, OH:2-3pm, Tuesdays and 3-4pm, Thursdays, SDSC 293E.

Course Description

This course will introduce basic stuff in matrix analysis from a computational perspective. Linear algebra, rational and Jordan forms, unitary and Hermitian matrices, matrix decompositions, perturbation of eigenvalues, positive semidefinite matrices.

Prerequisite

Basic training in linear algebra, or consent by the instructor.

Textbook

The recommended textbook is Matrix Analysis by Horn and Johnson.

Homework Assignments

Homework will be assigned and collected in class in the due time.

Only hard copies are acceptable for submitting homework assignments.

Homework Assignment #1, due on 10/11/2017 ( solution)

Homework Assignment #2, due on 10/18/2017 ( solution)

Homework Assignment #3, due on 10/27/2017 ( solution)

Homework Assignment#4, due on 11/08/2017 ( solution)

Homework Assignment#5, due on 11/15/2017 ( solution)

Homework Assignment#6, due on 11/22/2017 ( solution)

Homework Assignment#7, due on 12/01/2017 ( solution)

Homework Assignment#8, due on 12/06/2017

Please write your names, ID nubmers, and section numbers on your homework, and staple together your homework pages.

Exams

There is a final exam, but no midterms.

Grading

The final course grade will be based on the performance of completing homework assignments and final exam.

The homework assignments count 25% and the final exam counts 75%.

Academic Integrity

Every student is expected to conduct themselves with academic integrity. Any kind of cheatings is not allowed in this course. Violations of academic integrity will be treated seriously.

See UCSD Policy on Integrity of Scholarship.