From formula to algorithm
Students turn elimination, iteration, and approximation formulas into explicit computational procedures.
Worcester Polytechnic Institute · instructor of record
A math course on algorithms for linear and nonlinear systems.
This page consolidates representative materials across repeated offerings of the same course.
Students turn elimination, iteration, and approximation formulas into explicit computational procedures.
Conditioning, floating-point effects, residuals, convergence, and stability are central mathematical ideas.
MATLAB computation is paired with explanation: what the output means, when a method fails, and how to diagnose it.
syllabus.pdf
Course structure, policies, learning objectives, grading, and schedule.
lecture_notes.pdf
A representative set of notes, worked examples, and course development.
exam_1.pdf
A representative earlier-course assessment.
exam_2.pdf
A representative later-course assessment.