CAAM 335 · Matrix Analysis

Fall 2008 · Rice University


REFERENCES   //  PROBLEM SETS  //  EXAMS

COURSE NOTES   //  LABORATORY


LECTURES:

 11am MWF, Duncan Hall 1070

INSTRUCTORS:
Matthias Heinkenschloss (heinken_AT_rice.edu), Duncan Hall 3088, (713) 348-5176
Office hours: TBA, or by appointment.

TEACHING
ASSISTANT:

 Derek Hansen (derekjhansen_AT_rice.edu), Duncan Hall 2004, (713) 348-2290
Office hours: TBA.

RECITATIONS:

 Thursdays, 9:30-11:00pm, Herzstein 210

LABORATORY:

 The lectures will be accompanied by an optional 1-credit laboratory in which students examine concepts from the course more deeply in the context of physical experiments. An interest meeting will be held during the first week of classes.

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.)

PROBLEM SETS:

 Problem sets will be assigned roughly once a week. You may collaborate on the problems, but your write-up must be your own independent work. Transcribed solutions are unacceptable; you may not consult solutions from previous sections of this class.

LATE POLICY:

 You may turn in two problem sets one class period late without penalty. Subsequent late assignments will be penalized 20% each. Homework will not be accepted more than one class period late without a written excuse. This implies that you may not use two `lates' on one assignment.

EXAMS:

 Three take-home, timed, closed-book exams will each account for 20\% of the final grade. Each exam must be your individual, unassisted effort; indicate compliance by writing out in full and signing the traditional pledge.

COURSE NOTES:

 Matrix Analysis by Steve Cox
Available in pdf and as a course pack from the bookstore.

SYLLABUS:

 pdf

RECOMMENDED
READING

 Carl Meyer, Applied Matrix Analysis and Linear Algebra
Gilbert Strang, Linear Algebra and Its Applications
Gilbert Strang, Introduction to Applied Mathematics
Lars Ahlfors, Complex Analysis, 3rd ed.
R. V. Churchill and J. W. Brown, Complex Variables and Applicatons

MATLAB:

 D. J. Higham and N. J. Higham, MATLAB Guide, 2nd ed.
Getting Started with MATLAB from MathWorks


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.