MATH 472 - Numerical Methods with Financial Applications
Section: 001
Term: WN 2018
Subject: Mathematics (MATH)
Department: LSA Mathematics
Credits:
3
Requirements & Distribution:
BS
Credit Exclusions:
No credit granted to those who have completed or are enrolled in MATH 471 or 371.
Waitlist Capacity:
40
Advisory Prerequisites:
Differential Equations (MATH 216, 256, 286, or 316); Linear Algebra (MATH 214, 217, 417, or 419); working knowledge of a high-level computer language. Recommended: MATH 425.
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.
Primary Instructor:

This is a survey of the basic numerical methods which are used to solve scientific problems. The goals of the course are similar to those of Math 471, but the applications are chosen to be of interest to students in the Actuarial Mathematics and Financial Mathematics programs.

For more information on this course, please visit the Department of Mathematics webpage

MATH 472 - Numerical Methods with Financial Applications
Schedule Listing
001 (LEC)
P
24230
Closed
0
 
-
TuTh 8:30AM - 10:00AM
Note: Wait list preference given to Financial Math Majors
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.


ISBN: 0321783670
Numerical analysis, Author: Timothy Sauer., Publisher: Pearson 2nd ed.
Required
Syllabi are available to current LSA students. IMPORTANT: These syllabi are provided to give students a general idea about the courses, as offered by LSA departments and programs in prior academic terms. The syllabi do not necessarily reflect the assignments, sequence of course materials, and/or course expectations that the faculty and departments/programs have for these same courses in the current and/or future terms.

Click the button below to view historical syllabi for MATH 472 (UM login required)

View Historical Syllabi
The CourseProfile (ART) system, supported by the U-M Provost’s 3rd Century Initiative through a grant to the Digital Innovation Greenhouse, provides additional information about: course enrollments; academic terms and instructors; student academic profiles (school/college, majors), and previous, concurrent, and subsequent course enrollments.

CourseProfile (ART)