Linear Algebra

2025 Fall
#27601

Linear Algebra

Aug 27, 2025 - Dec 12, 2025
Mo, We, Fr
01:00 pm - 01:59 pm

Instruction Mode: In-Person Instruction

Open Seats

8 Unreserved Seats

MATH 56 - DIS 113 Linear Algebra more detail
This is a first course in Linear Algebra. Core topics include: algebra and geometry of vectors and matrices; systems of linear equations and Gaussian elimination; eigenvalues and eigenvectors; Gram-Schmidt and least squares; symmetric matrices and quadratic forms; singular value decomposition and other factorizations. Time permitting, additional topics may include: Markov chains and Perron-Frobenius, dimensionality reduction, or linear programming. This course differs from Math 54 in that it does not cover Differential Equations, but focuses on Linear Algebra motivated by first applications in Data Science and Statistics.
2025 Fall
#27074

Linear Algebra

Aug 27, 2025 - Dec 12, 2025
Mo, We, Fr
01:00 pm - 01:59 pm

Instruction Mode: In-Person Instruction

No Open Seats
MATH 56 - DIS 112 Linear Algebra more detail
This is a first course in Linear Algebra. Core topics include: algebra and geometry of vectors and matrices; systems of linear equations and Gaussian elimination; eigenvalues and eigenvectors; Gram-Schmidt and least squares; symmetric matrices and quadratic forms; singular value decomposition and other factorizations. Time permitting, additional topics may include: Markov chains and Perron-Frobenius, dimensionality reduction, or linear programming. This course differs from Math 54 in that it does not cover Differential Equations, but focuses on Linear Algebra motivated by first applications in Data Science and Statistics.
2025 Fall
#27073

Linear Algebra

Aug 27, 2025 - Dec 12, 2025
Mo, We, Fr
12:00 pm - 12:59 pm

Instruction Mode: In-Person Instruction

Open Seats

14 Unreserved Seats

MATH 56 - DIS 111 Linear Algebra more detail
This is a first course in Linear Algebra. Core topics include: algebra and geometry of vectors and matrices; systems of linear equations and Gaussian elimination; eigenvalues and eigenvectors; Gram-Schmidt and least squares; symmetric matrices and quadratic forms; singular value decomposition and other factorizations. Time permitting, additional topics may include: Markov chains and Perron-Frobenius, dimensionality reduction, or linear programming. This course differs from Math 54 in that it does not cover Differential Equations, but focuses on Linear Algebra motivated by first applications in Data Science and Statistics.
2025 Fall
#26539

Linear Algebra

Aug 27, 2025 - Dec 12, 2025
Mo, We, Fr
12:00 pm - 12:59 pm

Instruction Mode: In-Person Instruction

Open Seats

10 Unreserved Seats

MATH 56 - DIS 110 Linear Algebra more detail
This is a first course in Linear Algebra. Core topics include: algebra and geometry of vectors and matrices; systems of linear equations and Gaussian elimination; eigenvalues and eigenvectors; Gram-Schmidt and least squares; symmetric matrices and quadratic forms; singular value decomposition and other factorizations. Time permitting, additional topics may include: Markov chains and Perron-Frobenius, dimensionality reduction, or linear programming. This course differs from Math 54 in that it does not cover Differential Equations, but focuses on Linear Algebra motivated by first applications in Data Science and Statistics.
2025 Fall
#26538

Linear Algebra

Aug 27, 2025 - Dec 12, 2025
Mo, We, Fr
11:00 am - 11:59 am

Instruction Mode: In-Person Instruction

Open Seats

18 Unreserved Seats

MATH 56 - DIS 109 Linear Algebra more detail
This is a first course in Linear Algebra. Core topics include: algebra and geometry of vectors and matrices; systems of linear equations and Gaussian elimination; eigenvalues and eigenvectors; Gram-Schmidt and least squares; symmetric matrices and quadratic forms; singular value decomposition and other factorizations. Time permitting, additional topics may include: Markov chains and Perron-Frobenius, dimensionality reduction, or linear programming. This course differs from Math 54 in that it does not cover Differential Equations, but focuses on Linear Algebra motivated by first applications in Data Science and Statistics.
2025 Fall
#26196

Linear Algebra

Aug 27, 2025 - Dec 12, 2025
Mo, We, Fr
11:00 am - 11:59 am

Instruction Mode: In-Person Instruction

Open Seats

8 Unreserved Seats

MATH 56 - DIS 108 Linear Algebra more detail
This is a first course in Linear Algebra. Core topics include: algebra and geometry of vectors and matrices; systems of linear equations and Gaussian elimination; eigenvalues and eigenvectors; Gram-Schmidt and least squares; symmetric matrices and quadratic forms; singular value decomposition and other factorizations. Time permitting, additional topics may include: Markov chains and Perron-Frobenius, dimensionality reduction, or linear programming. This course differs from Math 54 in that it does not cover Differential Equations, but focuses on Linear Algebra motivated by first applications in Data Science and Statistics.
2025 Fall
#26195

Linear Algebra

Aug 27, 2025 - Dec 12, 2025
Mo, We, Fr
10:00 am - 10:59 am

Instruction Mode: In-Person Instruction

Open Seats

22 Unreserved Seats

MATH 56 - DIS 107 Linear Algebra more detail
This is a first course in Linear Algebra. Core topics include: algebra and geometry of vectors and matrices; systems of linear equations and Gaussian elimination; eigenvalues and eigenvectors; Gram-Schmidt and least squares; symmetric matrices and quadratic forms; singular value decomposition and other factorizations. Time permitting, additional topics may include: Markov chains and Perron-Frobenius, dimensionality reduction, or linear programming. This course differs from Math 54 in that it does not cover Differential Equations, but focuses on Linear Algebra motivated by first applications in Data Science and Statistics.
2025 Fall
#26194

Linear Algebra

Aug 27, 2025 - Dec 12, 2025
Mo, We, Fr
10:00 am - 10:59 am

Instruction Mode: In-Person Instruction

Open Seats

22 Unreserved Seats

MATH 56 - DIS 106 Linear Algebra more detail
This is a first course in Linear Algebra. Core topics include: algebra and geometry of vectors and matrices; systems of linear equations and Gaussian elimination; eigenvalues and eigenvectors; Gram-Schmidt and least squares; symmetric matrices and quadratic forms; singular value decomposition and other factorizations. Time permitting, additional topics may include: Markov chains and Perron-Frobenius, dimensionality reduction, or linear programming. This course differs from Math 54 in that it does not cover Differential Equations, but focuses on Linear Algebra motivated by first applications in Data Science and Statistics.
2025 Fall
#26193

Linear Algebra

Aug 27, 2025 - Dec 12, 2025
Mo, We, Fr
09:00 am - 09:59 am

Instruction Mode: In-Person Instruction

Open Seats

26 Unreserved Seats

MATH 56 - DIS 105 Linear Algebra more detail
This is a first course in Linear Algebra. Core topics include: algebra and geometry of vectors and matrices; systems of linear equations and Gaussian elimination; eigenvalues and eigenvectors; Gram-Schmidt and least squares; symmetric matrices and quadratic forms; singular value decomposition and other factorizations. Time permitting, additional topics may include: Markov chains and Perron-Frobenius, dimensionality reduction, or linear programming. This course differs from Math 54 in that it does not cover Differential Equations, but focuses on Linear Algebra motivated by first applications in Data Science and Statistics.
2025 Fall
#26192

Linear Algebra

Aug 27, 2025 - Dec 12, 2025
Mo, We, Fr
09:00 am - 09:59 am

Instruction Mode: In-Person Instruction

Open Seats

26 Unreserved Seats

MATH 56 - DIS 104 Linear Algebra more detail
This is a first course in Linear Algebra. Core topics include: algebra and geometry of vectors and matrices; systems of linear equations and Gaussian elimination; eigenvalues and eigenvectors; Gram-Schmidt and least squares; symmetric matrices and quadratic forms; singular value decomposition and other factorizations. Time permitting, additional topics may include: Markov chains and Perron-Frobenius, dimensionality reduction, or linear programming. This course differs from Math 54 in that it does not cover Differential Equations, but focuses on Linear Algebra motivated by first applications in Data Science and Statistics.