Matlab - All Tufts students have
access to Matlab in the ITS Computing Center @ Eaton Hall. You
can
also install Matlab on
your peronsal computer via the Tufts site license. To obtain the license and install
Matlab see the following link.
For resources
on Matlab, see below.
Python - Python is also a useful tool to learn, along with numpy/scipy/matplotlib. It also happens to be free!
The Mathematical Contest in Modeling (MCM) - This is a 4 day team competition held every year in
late January or early
Februrary. For more information, see the MCM website, and please see me at some
point during the semester if you are interested.
Jumbo Maker Space - Check out the Tufts Maker Studio, where you have access to laser cutters, 3D printers, and all sorts of useful
and fun tools.
Advice for Class:
Understand the underlying concepts, not just the procedure for getting the answer. Learn to learn!
Ask questions if you don't understand. Don't be afraid to visit me during office hours, where we can go over material and
homework you don't quite understand.
Use the textbook (if there is one). It contains a lot of useful information and pretty pictures. You paid a lot for it most likely,
so you might as well read it!
Come to class! I don't take attendance, but that's where the learning takes place.
Read the ENTIRE syllabus, ALL directions on exams, and any announcements or emails I send out. Most of the time, the
information you need has already been given.
Mathematics is a language used to describe the physical world.
You may already know the specific concepts or will learn
new ones that
you can apply
to all sorts of problems. Keep this in mind and
understand that it might just be the question that
is posed
differently, but the answer is something you already know!
Sleep! It's the number one way to improve your mathematics ability. Just not during class...
Mathematics jokes are welcome at any time during class. Please keep it appropriate though...
Past Courses
Tufts University
MATH 036 - Applied Calculus II
MATH 042 - Calculus III: Multivariable Calculus
MATH 051 - Differential Equations
MATH 087 - Mathematical Modeling and Computation
MATH 126 - Numerical Analysis
MATH 253 - Numerical Partial Differential Equations
MATH 250 - Seminar in Computational and Applied Mathematics
MATH 252 - Nonlinear Partial Differential Equations