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Your search for courses for 23/SP and with code: STATSUPPORTING found 6 courses.

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CS 111.01 Introduction to Computer Science 6 credits

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

Olin 310

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 64304

Richard Wells

This course will introduce you to computer programming and the design of algorithms. By writing programs to solve problems in areas such as image processing, text processing, and simple games, you will learn about recursive and iterative algorithms, complexity analysis, graphics, data representation, software engineering, and object-oriented design. No previous programming experience is necessary. Students who have received credit for Computer Science 201 or above are not eligible to enroll in Computer Science 111.

CS 111.02 Introduction to Computer Science 6 credits

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

Olin 310

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 64305

Sneha Narayan

This course will introduce you to computer programming and the design of algorithms. By writing programs to solve problems in areas such as image processing, text processing, and simple games, you will learn about recursive and iterative algorithms, complexity analysis, graphics, data representation, software engineering, and object-oriented design. No previous programming experience is necessary. Students who have received credit for Computer Science 201 or above are not eligible to enroll in Computer Science 111.

Sophomore Priority

Waitlist for Juniors and Seniors: CS 111.WL2 (Synonym 64307)

MATH 120.00 Calculus 2 6 credits

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

CMC 206

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 64928

Rafe F Jones

Inverse functions, integration by parts, improper integrals, modeling with differential equations, vectors, calculus of functions of two independent variables including directional derivatives and double integrals, Lagrange multipliers.

Prerequisite: Mathematics 101, 111, score of 4 or 5 on Calculus AB Exam or placement via a Carleton placement exam. Not open to students who have received credit for Mathematics 211 or have a score of 4 or 5 on the AP Calculus BC exam

MATH 210.01 Calculus 3 6 credits

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

CMC 209

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 64929

Steve T Scheirer

Vectors, curves, calculus of functions of three independent variables, including directional derivatives and triple integrals, cylindrical and spherical coordinates, line integrals, Green's theorem, sequences and series, power series, Taylor series.

Prerequisite: Mathematics 120. This course cannot be substituted for Mathematics 211

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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Requirements
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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