University of Alabama
Fundamentals of linear algebra and matrix theory are covered. Topics include vectors in Euclidean spaces, solving systems of linear equations, matrix algebra, inverses, determinants, eigenvalues, and eigenvectors. Also vector spaces and the basic notions of span, subspace, linear independence, basis, dimension, linear transformation, kernel and range are considered. Computing proficiency is required for a passing grade in this course. Computer Science, PW: Digital Literacy Pract
3 credits
MATH 237
Prerequisites, corequisites, and courses that build on this one
Complete these courses before enrolling
Courses that require this course as a prerequisite
Quantum Structure of Matter I
Prin Modern Algebra I
Stochastic Processes I
Math Stats W/Applictn I
Non-Linear Optimization Theory
Linear Optimization Theory
Numerical Analysis I
Numerical Linear Algebra
Algebraic Structures for Secondary Teachers
Advanced Linear Algebra
Mathematical Theory of Data Science
Introduction to Scientific Computing and Problem Solving
Digital Control Systems
Data Science
Structural Dynamics
Orbital Mechanics
Flight Dynamics & Control
Spacecraft Dynamics and Control
Applied Numerical Methods
Aerospace Structures
