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Mathematics (MATH) Courses
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Your search for courses for 23/SP and MATH and course number 232 found 3 courses.
MATH 232.01 Linear Algebra 6 credits
Open: Size: 30, Registered: 24, Waitlist: 0
| M | T | W | TH | F |
|---|---|---|---|---|
| 12:30pm1:40pm | 12:30pm1:40pm | 1:10pm2:10pm |
Requirements Met:
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Linear algebra centers on the study of highly structured functions called linear transformations. Given the abundance of nonlinear functions in mathematics, it may come as a surprise that restricting to linear ones opens the door to a rich and powerful theory that finds applications throughout mathematics, statistics, computer science, and the natural and social sciences. Linear transformations are everywhere, once we know what to look for. They appear in calculus as the functions that are used to define lines and planes in Euclidean space. In fact, differentiation is also a linear transformation that takes one function to another. The course focuses on developing geometric intuition as well as computational matrix methods. Topics include kernel and image of a linear transformation, vector spaces, determinants, eigenvectors and eigenvalues.
Prerequisite: Mathematics 120 or Mathematics 211
MATH 232.02 Linear Algebra 6 credits
Closed: Size: 30, Registered: 30, Waitlist: 0
| M | T | W | TH | F |
|---|---|---|---|---|
| 1:50pm3:00pm | 1:50pm3:00pm | 2:20pm3:20pm |
Requirements Met:
Other Tags:
Linear algebra centers on the study of highly structured functions called linear transformations. Given the abundance of nonlinear functions in mathematics, it may come as a surprise that restricting to linear ones opens the door to a rich and powerful theory that finds applications throughout mathematics, statistics, computer science, and the natural and social sciences. Linear transformations are everywhere, once we know what to look for. They appear in calculus as the functions that are used to define lines and planes in Euclidean space. In fact, differentiation is also a linear transformation that takes one function to another. The course focuses on developing geometric intuition as well as computational matrix methods. Topics include kernel and image of a linear transformation, vector spaces, determinants, eigenvectors and eigenvalues.
Prerequisite: Mathematics 120 or Mathematics 211
MATH 232.03 Linear Algebra 6 credits
Open: Size: 30, Registered: 26, Waitlist: 0
| M | T | W | TH | F |
|---|---|---|---|---|
| 12:30pm1:40pm | 12:30pm1:40pm | 1:10pm2:10pm |
Requirements Met:
Other Tags:
Linear algebra centers on the study of highly structured functions called linear transformations. Given the abundance of nonlinear functions in mathematics, it may come as a surprise that restricting to linear ones opens the door to a rich and powerful theory that finds applications throughout mathematics, statistics, computer science, and the natural and social sciences. Linear transformations are everywhere, once we know what to look for. They appear in calculus as the functions that are used to define lines and planes in Euclidean space. In fact, differentiation is also a linear transformation that takes one function to another. The course focuses on developing geometric intuition as well as computational matrix methods. Topics include kernel and image of a linear transformation, vector spaces, determinants, eigenvectors and eigenvalues.
Prerequisite: Mathematics 120 or Mathematics 211
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