ENROLL Course Search
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Alternatives: For requirement lists, please refer to the current catalog. For up-to-the-minute enrollment information, use the "Search for Classes" option in The Hub. If you have any other questions, please email registrar@carleton.edu.
Your search for courses for 22/FA and in CMC 319 found 4 courses.
IDSC 100.04 Let's Talk about Race!: Exploring Race in Higher Education 6 credits
Closed: Size: 15, Registered: 15, Waitlist: 0
| M | T | W | TH | F |
|---|---|---|---|---|
| 10:10am11:55am | 10:10am11:55am |
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From Starbucks' failed "Race together" initiative to debates about Rachel Dolezal's racial identity to the Black Lives Matter movement, it is clear that race still matters in America. These incidents also demonstrate the difficulties of having discussions about race, especially across racial lines. Drawing on texts from multiple disciplines, this course will examine the history of racial categories with a particular emphasis on how race matters in higher education. This course will also incorporate readings and activities that will help students develop further their skills to have productive discussions about race, especially in the context of a small residential college.
Held for new first year students
MATH 342.00 Abstract Algebra I 6 credits
Open: Size: 23, Registered: 20, Waitlist: 0
| M | T | W | TH | F |
|---|---|---|---|---|
| 9:50am11:00am | 9:50am11:00am | 9:40am10:40am |
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Prerequisite: Mathematics 236 or instructor permission
MATH 395.00 Geometric Group Theory 6 credits
Open: Size: 15, Registered: 7, Waitlist: 0
| M | T | W | TH | F |
|---|---|---|---|---|
| 11:10am12:20pm | 11:10am12:20pm | 12:00pm1:00pm |
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Geometric group theory is the study of (infinite) groups using geometric tools. The underlying principle of geometric group theory is that if a group G acts "nicely" on a space, then information about that space tells us information about the group. This class will introduce tools from topology, graph theory, and geometry and use them to study groups. Topics will include groups acting on trees and (more generally) hyperbolic groups. This course counts toward the Algebra area of the math major.
Prerequisite: Mathematics 342 or instructor consent
STAT 340.00 Bayesian Statistics 6 credits
Open: Size: 20, Registered: 18, Waitlist: 0
| M | T | W | TH | F |
|---|---|---|---|---|
| 1:50pm3:00pm | 1:50pm3:00pm | 2:20pm3:20pm |
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Formerly MATH 315) An introduction to statistical inference and modeling in the Bayesian paradigm. Topics include Bayes’ Theorem, common prior and posterior distributions, hierarchical models, Markov chain Monte Carlo methods (e.g., the Metropolis-Hastings algorithm and Gibbs sampler) and model adequacy and posterior predictive checks. The course uses R extensively for simulations.
Prerequisite: Statistics 250 (formerly Mathematics 275)
Fomerly Mathematics 315
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