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Course Offerings

Course Evaluation Results

Course Details

Fall 2016-2017
* 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; numerical solutions of differential equations; two-point boundary value problems; and approximation theory. Lectures are supplemented with numerical examples using MATLAB.

Sample reading list:
Mayers, Suli, An Introduction to Numerical Analysis

Reading/Writing assignments:
Homework assignments in the course consist of both theoretical and computational work. For the computational component, students should use a language/environment that possesses high-level data types so that more time may be spent working with algorithms and not worrying about coding (e.g., MATLAB, Julia, C++ with appropriate class libraries)

Final Exam - 40%
Take Home Mid term Exam - 20%
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.


Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
23249 L01 01:30:00 pm - 02:50:00 pm T Th   Fine Hall   214   Enrolled:7 Limit:40
23249 L01 01:30:00 pm - 02:20:00 pm F   Fine Hall   214   Enrolled:7 Limit:40