— Linear Algebra with Applications to Biology

Prerequisites & course information

This version has ended; see updated course, below. Course Description: Introduction to linear algebra with biological, medical, and bioengineering applications. Matrix algebra, vector spaces, orthogonality, determinants, eigenvalues, eigenvectors, principal component analysis, singular value decomposition, and linear transformations. Computer labs cover mathematical and computational techniques for modeling biological systems. Learning Activities: Lecture 3 hour(s), Laboratory 2 hour(s). Credit Limitation(s): Only 1 unit of credit for students who have completed MAT 022A . Cross Listing: MAT 027A . Grade Mode: Letter. General Education: Science & Engineering (SE). BIS 027A — Linear Algebra with Applications to Biology (4 units) Course Description: Introduction to linear algebra with biological, medical, and bioengineering applications. Matrix algebra, vector spaces, orthogonality, determinants, eigenvalues, eigenvectors, principal component analysis, singular value decomposition, and linear transformations. Computer labs cover mathematical and computational techniques for modeling biological systems. Prerequisite(s): MAT 017C C- or better or MAT 019C C- or better or MAT 021C C- or better or MAT 021CH C- or better. Learning Activities: Lecture 3 hour(s), Laboratory 2 hour(s). Credit Limitation(s): Only 1 unit of credit for students who have completed MAT 022A . Cross Listing: MAT 027A . Grade Mode: Letter. General Education: Science & Engineering (SE). This course version is effective from, and including: Winter Quarter 2027. Learning Activities: Lecture 3 hour(s), Laboratory 2 hour(s). Credit Limitation(s): Only 1 unit of credit for students who have completed MAT 022A . Cross Listing: MAT 027A . Grade Mode: Letter. General Education: Science & Engineering (SE). BIS 027A — Linear Algebra with Applications to Biology (4 units) Course Description: Introduction to linear algebra with biological, medical, and bioengineering applications. Matrix algebra, vector spaces, orthogonality, determinants, eigenvalues, eigenvectors, principal component analysis, singular value decomposition, and linear transformations. Computer labs cover mathematical and computational techniques for modeling biological systems. Prerequisite(s): MAT 017C C- or better or MAT 019C C- or better or MAT 021C C- or better or MAT 021CH C- or better. Learning Activities: Lecture 3 hour(s), Laboratory 2 hour(s). Credit Limitation(s): Only 1 unit of credit for students who have completed MAT 022A . Cross Listing: MAT 027A . Grade Mode: Letter. General Education: Science & Engineering (SE). This course version is effective from, and including: Winter Quarter 2027.