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Course Offerings

Course Evaluation Results

Course Details

Fall 2017-2018
* MAT 321 / APC 321 (QR)   Graded A-F, P/D/F, Audit

Numerical Methods

Nicolas Boumal

Introduction to numerical methods with emphasis on algorithms, applications and numerical analysis. Topics covered include solution of nonlinear equations; numerical differentiation, integration, and interpolation; direct and iterative methods for solving linear systems; computation of eigenvectors and eigenvalues; and approximation theory. Lectures include mathematical proofs where they provide insight and are supplemented with numerical demos using MATLAB.

Sample reading list:
Suli and Mayers, An Introduction to Numerical Analysis
Trefethen and Bau, Numerical Linear Algebra

Reading/Writing assignments:
Homework assignments in the course consist of both theoretical and computational work. For the computational component, students should use MATLAB.

Final Exam - 35%
Take Home Mid term Exam - 25%
Problem set(s) - 40%

Other Requirements:
Statistical, design or other software use required
Not Open to First Year Undergraduates.

Prerequisites and Restrictions:
MAT201 and 202, or MAT203 and 204, or equivalent. Some prior programming experience is helpful..

Other information:
This is an introductory course designed for upper class undergraduates and beginning grad students in fields related to applied math and engineering. Special attention is paid to numerical analysis and algorithm development. Students are expected to accumulate hands-on experience by programming and running numerical simulations assigned as homework problems. A substantial amount of time in class is dedicated to mathematical analysis of numerical methods, with proofs.


Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
21965 L01 01:30:00 pm - 02:50:00 pm T Th   Fine Hall   224   Enrolled:7 Limit:35
21965 L01 01:30:00 pm - 02:20:00 pm F   Fine Hall   224   Enrolled:7 Limit:35