ENROLL

This course introduces students to the world of Indigenous films, beginning with representations of Indians and how these images shape what most people “know” about “Indians.” Simultaneously, Indigenous filmmakers exercise visual sovereignty by not only refusing representations of Indigenous people, but by creating visual representations of Indigenous peoples that speak to the urgent issues of the present. Through Indigenous films, we will examine genres, develop an appreciation for historical and cultural contexts of films, and consider how these films are forms of Indigenous resurgence. We will also learn the basics of media literacy and film analysis. Our key concepts include visual sovereignty, Indigenous, Indians, settler colonialism, decolonization, resurgence, tradition, and gender.

Kiran Tomlinson

Prerequisite: Computer Science 111 and Mathematics 111 or instructor permission

Anna N Rafferty

An introduction to the theory of computation. What problems can and cannot be solved efficiently by computers? What problems cannot be solved by computers, period? Topics include formal models of computation, including finite-state automata, pushdown automata, and Turing machines; formal languages, including regular expressions and context-free grammars; computability and uncomputability; and computational complexity, particularly NP-completeness.

Prerequisite: Computer Science 201 and Computer Science 202 (Mathematics 236 will be accepted in lieu of Computer Science 202)

Steve T Scheirer

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

Kate J Meyer

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