Welcome to CAAM 336

Instructors and General Information

Adrianna Gillman
Emily Hendryx
Anastasiya Protasov
Office: 3022 Duncan Hall
Office: 3110 Duncan Hall
Office: 3085 Duncan Hall
Office hours:  M 10:30-11:30, W 2-3pm or by appointment Office hours:  Th 3-4pm or by appointment Office hours:  W 10-11, F 10-12 or by appointment
email email email
Lecture location: DCH 1064 Lecture location: KCK 105 Lecture location: DCH 1042

Note that you do not need an appointment to attend regularly-scheduled office hours. If you have a conflict you may make an appointment to meet outside those times.


Recitiation:  T 7-9pm DCH 1070
Teaching Assistant: Y. Zhang  
Office Hours: T 2-3pm in Duncan Hall 3110
Prerequisites: CAAM 210 (Introduction to Engineering Computation) and MATH 212 (Multivariable Calculus), or permission of the instructor. Less formally: you should be able to write elementary MATLAB programs, and be comfortable with vector calculus and basic vector and matrix operations.
Objectives: CAAM 336 students learn to identify partial differential equations and solve canonical cases using both analytical and computational techniques.
Outcomes: Upon completing this course, students should be able to:
     1) explain the concept and computation of a best approximation from a subspace;
     2) identify linear operators and compute their spectra in basic cases;
     3) apply these concepts to obtain exact series solutions to differential equations;
     4) approximate solutions with the finite difference and finite element methods;
     5) develop codes in MATLAB to compute and visualize numerical solutions

Textbook:  Mark S. Gockenbach, Partial Differential Equations: Analytical and Numerical Methods, SIAM, Philadelphia, 2011.
More info: http://www.math.mtu.edu/~msgocken/pdebook2

Absence Policy:

Students are strongly encouraged to contribute to our class community by attending and participating in lectures and active learning activities.

Note on Disability Based Accommodations

If you have a documented disability that will impact your work in this class, please contact us to discuss your needs. Additionally, you will need to register with the Disability Support Services Office in the Ley Student Center.

For your convenience, here is the term calendar as set by the registrar, with deadlines for schedule adjustment and other significant dates.

Homework

Homeworks are due by 5pm on the due date.
Homeworks will contain both theoretical and computational problems. Students are strongly encouraged to start their homeworks early.
Mathematically rigorous solutions are expected; strive for clarity and elegance. Collaboration on problem sets is strongly suggested, however your write-up must be your own independent work. Transcribed solutions and copied MATLAB code are both unacceptable. You may not consult solutions from previous sections of this class.
For pledged homework problems, you are allowed to you reference the course texts and lecture notes.  No internet or other resources are allowed unless specified in the directions for the assignment. Your lowest homework grade will be dropped.

Late Policy

Problem sets are due no later than 5pm on the posted due date in the Duncan Hall Mailroom DH 1092. Assignments turned in after this time will not be accepted and will receive a score 0%. In exceptional circumstances, contact the instructor as soon as possible: we adhere to Student Health's No Note policy.

Re-Grade Policy: If your work has been graded incorrectly, you may submit a re-grade request. Clearly explain the perceived error on a separate sheet of paper, staple it to the front of your graded paper, and give it to the instructor.

Remember if your work is not legible, it cannot be graded!

MATLAB: Most homework assignments will require a modest amount of MATLAB programming. Your solutions should adhere to good programming standards, and must not be copied from another student. Consult the course web site for pointers to MATLAB resources. You might also consult:
D. J. Higham and N. J. Higham, MATLAB Guide, 2nd ed.
Getting Started with MATLAB from MathWorks
A Matlab primer from previous semesters of the class.

The Honor Principle

Unless noted otherwise, you are encouraged to discuss regular homework problems with fellow classmates. You are expected, however, to individually write up your solutions. On pledged problems, you are not allowed to discuss homework with fellow students. You are never allowed to share computer codes for assignments. Each student is responsible for writing their own codes. You may not consult solution sheets from past CAAM courses.

Grading

Grades will be assigned based on homework and exams as follows.

Component Percentage
Homework 25
Exam 1 25
Exam 2 25
Exam 3 25
Total 100

Exams:

Three scheduled exams will each account for 25% of the final grade. Each of these pledged exams must be your individual, unassisted effort.

Exam 1 Exam 2 Exam 3
Date   9/28
11/2
11/30
Time  6:30-9:30pm
 6:30-9:30pm  6:30-9:30pm
Location Herzstein Hall 210
Herzstein Hall 210
Herzstein Hall 210
Last modified 26 Sept. 2017 by EH.