MATH 1554 - Linear Algebra

From Georgia Tech Student Wiki

MATH 1554 covers linear systems, matrices, eigenvalues, orthogonality, and SVD.

Topic List[edit | edit source]

  • Linear Systems and Transformations
    • Systems of Linear Equations
    • Row Reduction and Echelon Forms
    • Vector Equations
    • The Matrix Equation
    • Solution Sets of Linear Systems
    • Linear Independence
    • Linear Transforms
  • Matrices and the Matrix Inverse
    • Matrix Operations
    • Matrix Inverse
    • Invertible Matrix Theorem
    • Partitioned Matrices*
    • LU Factorization
    • Leontief Input-Output Model*
    • Computer Graphics*
    • Subspaces
    • Dimension and Rank
  • Determinants and Eigenvalues
    • Determinants
    • Volume and Linear Transforms*
    • Markov Chains*
    • Eigenvalues and Eigenvectors
    • Characteristic Equation
    • Diagonalization
    • Complex Eigenvalues*
    • Google PageRank*
  • Orthogonality
    • Inner Products
    • Orthogonal Sets
    • Orthogonal Projections
    • The Gram-Schmidt Process
    • Least-Squares
  • Symmetric Matrices, Quadratic Forms, and SVD
    • Symmetric Matrices
    • Quadratic Forms
    • Constrained Optimization*
    • Singular Value Decomposition (SVD)*

* Topic not covered in MATH 1553

Class Structure[edit | edit source]

MATH 1554 is a core math class with a focus on theory. However, MATH 1554 does not use formal proofs, and it still does have many computational problems. The theoretical nature of MATH 1554 can be challenging for first-year students who are used to more computation-heavy algebra and calculus courses.

Prerequisite Knowledge[edit | edit source]

Almost no prerequisite knowledge is required, apart from algebra and trigonometry.

Scheduling[edit | edit source]

MATH 1554 is required for math and cs majors. Due to having almost no prerequisites, MATH 1554 is generally taken during freshmen year. Future calculus classes, such as multivariable calculus and differential equations will use linear algebra concepts such as matrices, determinants, and eigenvalues. In addition, linear algebra is especially important for cs majors, who take many classes that require linear algebra, such as MATH 3012 and CS 3510.

Equivalent Courses[edit | edit source]

  • MATH 1553 is the introduction equivalent, which does not cover as many topics as MATH 1554.
  • MATH 1564 is the honors equivalent, which uses proofs and is more theoretical than MATH 1554.

Resources[edit | edit source]