Course overview
This course introduces fundamental concepts in linear algebra and matrix theory that underly modern applications of mathematics in many fields including data science, engineering and finance. The knowledge and skills taught in this course are also essential to most areas of advanced study in mathematics and statistics.
- Introduction To Linear Algebra
- Linear Transformations
- Eigenvalues And Eigenvectors
Course learning outcomes
- Explain the key concepts and theorems in linear algebra over real Euclidean space
- Solve problems in linear algebra using analytic and computational methods
- Employ techniques from linear algebra in statistical applications
- Demonstrate skills in communicating mathematics
Degree list
The following degrees include this course