This class will cover the application of numerical/analytical techniques
and the application of computational methods for PDES to understand and
solve problems that arise in multidisciplinary applications. Specifically,
the plan is to teach the students to (a) Develop the ablility to
mathematically
formulate problems from a nonmathematical description; (b) Identify
features relevant to a model and be able to analyze the model using
analytical techniques and (c) Perform simulations using state-of-the-art
mathematical software such as MATLAB to interpret the results and suggest
recommendations. In summary, the primary goal of the course will be employ
the philosophy of "here is the problem, find the mathematics to solve it"
rather than "here is the mathematics, use it to solve the problem". This
course will provide a unique experience of how numerical/analytical
techniques will be applied outside academia and also broaden the horizon
beyond what is usually presented in graduate education.
TEXTBOOKS
There will not be a particular textbook that will be used for the course.
Instead, lecture notes will be updated on the
course website or provided to the students on a regular basis as the
semester progresses. A good reference textbook that is recommended for the
class will be
Classical and Modern Numerical Analysis: Theory, Methods and Practice
by A. Ackleh, E. Allen, R. Kearfott, P. Seshaiyer (Chapman & Hall - CRC
Publishing).
COURSE DETAILS
Instructor: Dr. Padmanabhan Seshaiyer
Office:MATH 222B
Lectures: W (7:20 pm - 10 pm)
Venue: Science and Tech I, Room 242
Office Hours: W (5:00 pm - 6:30 pm) and by appointment
The grading scale will be 90-100: A, 80-89: B, 70-79: C,
60-69:D, Less than 60: F.
Your grade for this
course will be based on homeworks, projects, presentations and
participation in the class. More specifically, homeworks and projects
given during the semester will total 50% of your grade.
Completed projects must be written in the form of a journal publication
including
statement of the problem, background and methods used for the solution
and interpretation of the results. Students must also prepare for
inclass presentations based on their homework or projects which will be
worth 20%. There will be one final exam worth 30% that will be based on
the various mathematical techniques presented in the class during the
semester. The Final Exam is scheduled
to be on Dec 16, 2009 (Monday) from 7:30 PM - 10:15 PM.
ACADEMIC INTEGRITY
All students will be expected to abide by the Honor Code: Student members of the George Mason
University community pledge not to cheat, plagiarize, steal, or lie in matters related to academic work
.
DISABILITY ACCOMODATION
Any student who, because of a disability, may require some special
arrangements in order to meet course requirements should contact the
instructor as soon as possible to make such accommodations as may be
necessary.