Algebra for Models and Data
APMTH 106
Subject & Catalog Number
Course Information
Description
This course is an introduction to abstract algebra and its applications. Topics will include rings, polynomials, and ideals, factorization of matrices and polynomials, exact and numerical algorithms for solving equations, and applications to data analysis, modeling, and optimization.
Course Notes
Not recommended for students who have taken Mathematics 122 or Mathematics 55a. This course will meet, on average, twice per week on M, W, or F.
Recommended Prep
Familiarity with linear algebra (at the level of Math 21b) and proofs (at the level of Math 22a, Math 101, or CS 20). Programming experience is helpful but not required.
Available for Harvard Cross Registration
NOTE: This course requires additional sections; you will be prompted to choose secondary components during the Add to Cart process
