Scientific computing has become an indispensable tool in many branches of research, and is vitally important for studying a wide range of physical and social phenomena. In this course we will examine the mathematical foundations of well-established numerical algorithms and explore their use through practical examples drawn from a range of scientific and engineering disciplines.
A more detailed description of this information can be found in the course syllabus.
- Tuesday & Thursday 10:30am ET via Zoom (see Canvas page for links)
- Scientific Computing: An Introductory Survey, by Michael T. Heath.
- There will be five homework assignments. The first
is due on Friday September 18th, and the remainder are due at roughly two
week intervals. Homework assignments will be
due at 5pm ET in the dropbox on the course Canvas page. In addition,
an introductory homework assignment 0 is provided, which is ungraded
but designed for you to refresh your familiarity with programming.
- Academic integrity policy
- Discussion and the exchange of ideas are
essential to doing academic work. For assignments in this course, you
are encouraged to consult with your classmates as you work on problem
sets. However, after discussions with peers, make sure that you can
work through the problem yourself and ensure that any answers you
submit for evaluation are the result of your own efforts. In addition,
you must cite any books, articles, websites, lectures, etc. that
have helped you with your work using appropriate citation practices.
Similarly, you must list the names of students with whom you have
collaborated on problem sets. Using homework solutions from previous
years is forbidden.
- The final grade will be based on homework assignments
(62%), group activities (6%), and the final project (32%).
- Final project
- This document contains
details about the final project organization. In general, the final
project will be completed in groups of two or three students. Single person
or multi-person projects are also allowed with instructor permission. Each
group will propose a project topic drawn from an application area of
interest. The project should make use of concepts covered in the course.
The project should be roughly equivalent in scope to a section of a
published research article. You will be required to write software to solve
your problem, and to submit a report that includes a mathematical
discussion of your methodology in relation to the theory covered in the
course. Projects will be assessed based on a written report, and the
quality and correctness of software. Code should be well-documented and
should be organized so that figures submitted in the report can be easily
reproduced by the graders.