CAAM 335 · Matrix
Analysis
Fall 2019 · Rice
University

LECTURES:

CAAM 335001 (CRN 10055): MWF
2:002:50pm, Duncan Hall 1064. 

INSTRUCTOR:



TEACHING

Yuchen (Frank) Yang (yuchen.yang@rice.edu). Office Hours: Tuesdays 7:00PM7:50PM, DCH 1044. On 10/1/19 only, Yuchen’s office hours will be held in DCH 1049. He
will also lead the recitations. 

RECITATIONS:

Mondays 7:008:30pm, room:
DCH 1064. On 9/16, recitation will meet in HRZ 210. (Recitations start the third week of classes, since Monday September
2nd is a University Holiday)


COURSE OBJECTIVES:

Students should learn how to
characterize the solution of systems of linear equations and linear least
squares problems, apply basic solution techniques to linear problems
involving electrical circuits and planar trusses, compute the eigendecompsition of matrices and apply it to solve
linear dynamical systems, and compute the singular value decomposition and
apply it to data compression and linear least squares problems. 

OUTCOMES:

Apply the Fundamental Theorem of
Linear Algebra to characterize solutions of linear systems. 

PREREQUISITES:

MATH 212 and CAAM 210. Less
formally: you should be familiar with multivariable calculus and elementary
matrix manipulations (matrix addition and multiplication, Gaussian
elimination), and be able to write MATLAB programs. 

GRADING:

40% problem sets, 60% exams (Class
participation and improving performance on the exams will be considered
when assigning borderline grades.) 

HOMEWORKS:

Homeworks
will be assigned roughly once a week. Typically a homework assignment is
due one week after it has been posted. Unless otherwise stated, you may
collaborate with other students, but you must write up your solutions
separately. Transcribed solutions are unacceptable. You may not consult
solutions from previous sections of this class. 

EXAMS:

There are three exams. Each exam
will each account for 20\% of the final grade. The first two exams are
takehome, timed, closedbook exams. The final exam is scheduled. Room and
time for the 3rd exam will be determined by the Registrar's office later
this semester. 

LATE POLICY:

Homeworks
and exams must be turned in on time. 

RECQUIRED

Linear Algebra in Situ
by Steven Cox. Available as a course pack from the campus store. Chapter 1 of Linear
Algebra in Situ is available online. 

SYLLABUS:


RECOMMENDED

Carl Meyer, Applied Matrix
Analysis and Linear Algebra Daniel Solow, How to Read and do Proofs, Wiley. 

MATLAB:

D. J. Higham
and N. J. Higham, MATLAB Guide, 2nd
ed. 
Any student with a disability requiring accommodation in this course is
encouraged
to contact the instructor during the first week of class, and also to
contact
Disability Support Services in the
Ley Student Center.