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Your search for courses for 23/SP and in CMC 301 found 5 courses.

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AMST 222.00 Indigenous Film 6 credits

Open: Size: 25, Registered: 0, Waitlist: 0

CMC 301

MTWTHF
1:15pm3:00pm1:15pm3:00pm
Synonym: 65833

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.

CS 202.00 Mathematics of Computer Science 6 credits

Open: Size: 34, Registered: 0, Waitlist: 0

CMC 301

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 64312

Kiran Tomlinson

This course introduces some of the formal tools of computer science, using a variety of applications as a vehicle. You'll learn how to encode data so that when you scratch the back of a DVD, it still plays just fine; how to distribute "shares" of your floor's PIN so that any five of you can withdraw money from the floor bank account (but no four of you can); how to play chess; and more. Topics that we'll explore along the way include: logic and proofs, number theory, elementary complexity theory and recurrence relations, basic probability, counting techniques, and graphs.

Prerequisite: Computer Science 111 and Mathematics 111 or instructor permission

CS 254.00 Computability and Complexity 6 credits

Open: Size: 34, Registered: 0, Waitlist: 0

CMC 301

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 64315

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)

MATH 232.01 Linear Algebra 6 credits

Open: Size: 30, Registered: 0, Waitlist: 0

CMC 301

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 64930

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

MATH 232.02 Linear Algebra 6 credits

Open: Size: 30, Registered: 0, Waitlist: 0

CMC 301

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:10pm3:10pm
Synonym: 64931

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

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You must take 6 credits of each of these.
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You must take 6 credits of each of these,
except Quantitative Reasoning, which requires 3 courses.
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