Listed in: Mathematics and Statistics, as MATH-284
Joe Kraisler (Section 01)
This course will study numerical techniques for a variety of problems, such as finding roots of polynomials, interpolation, numerical integration, numerical solutions of differential equations, and matrix computations. We will study the underlying theory behind the algorithms, including error analysis, and the algorithms will be implemented using mathematical software to facilitate numerical experimentation.
Requisite: MATH 211 and either 271 or 272, or consent of the instructor. Limited to 24 students. Spring semester.
How to handle overenrollment: Preference is given to math majors.
Students who enroll in this course will likely encounter and be expected to engage in the following intellectual skills, modes of learning, and assessment: Problem sets, Use of computational software, In-class or take-home exams, May include quizzes, group projects, or in-class group work.
M 9:00 AM - 9:50 AM
W 9:00 AM - 9:50 AM
F 9:00 AM - 9:50 AM