ENROLL

John L Berini

Environmental problems are caused by a complex mix of physical, biological, social, economic, political, and technological factors. This course explores how these environmental problems affect life on Earth by examining the biological processes underlying natural ecological systems and the effects of global environmental changes such as resources consumption and overharvesting, land-use change, climate warming, pollution, extinction and biodiversity loss, and invasive species.

Prerequisite: One introductory science lab course (Biology 125, 126, Chemistry 123, 128, Geology 110, 115 or 120)

Sophomore Priority

Waitlist for Juniors and Seniors: BIOL 210.WL0 (Synonym 64168)

MurphyKate Montee

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

MurphyKate Montee

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

Joseph D Johnson

Prerequisite: Mathematics 232 or instructor permission

Rob C Thompson

An introduction to mathematical ideas from numerical approximation, scientific computing, and/or data analysis. Topics will be selected from numerical linear algebra, numerical analysis, and optimization. Theory, implementation, and application of computational methods will be emphasized.

Prerequisite: Mathematics 232

Not open to students who have already received credit for Mathematics 295 Numerical Analysis