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Your search for courses for 21/FA and with code: MATHELEC found 8 courses.

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CS 252.00 Algorithms 6 credits

Closed: Size: 34, Registered: 35, Waitlist: 0

Leighton 304

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 61870

David Liben-Nowell

A course on techniques used in the design and analysis of efficient algorithms. We will cover several major algorithmic design paradigms (greedy algorithms, dynamic programming, divide and conquer, and network flow). Along the way, we will explore the application of these techniques to a variety of domains (natural language processing, economics, computational biology, and data mining, for example). As time permits, we will include supplementary topics like randomized algorithms, advanced data structures, and amortized analysis.

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

MATH 240.01 Probability 6 credits

Closed: Size: 25, Registered: 29, Waitlist: 0

CMC 206

MTWTHF
8:30am9:40am8:30am9:40am8:30am9:30am
Synonym: 61581

Owen D Biesel

(Formerly Mathematics 265) Introduction to probability and its applications. Topics include discrete probability, random variables, independence, joint and conditional distributions, expectation, limit laws and properties of common probability distributions.

Prerequisite: Mathematics 120 or Mathematics 211

Formerly Mathematics 265

MATH 240.02 Probability 6 credits

Closed: Size: 25, Registered: 32, Waitlist: 0

CMC 301

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 61582

Owen D Biesel

(Formerly Mathematics 265) Introduction to probability and its applications. Topics include discrete probability, random variables, independence, joint and conditional distributions, expectation, limit laws and properties of common probability distributions.

Prerequisite: Mathematics 120 or Mathematics 211

Formerly Mathematics 265

MATH 271.00 Computational Mathematics 6 credits

Open: Size: 25, Registered: 17, Waitlist: 0

CMC 210

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 61439

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

MATH 295.00 Mathematics and Democracy 6 credits

Closed: Size: 25, Registered: 25, Waitlist: 0

CMC 209

MTWTHF
10:10am11:55am10:10am11:55am

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Synonym: 60713

Deanna B Haunsperger

In a democratic society we are confronted with problems of implementing fairness. How can we build a representative government, measure society's preferences, or fairly divide power? Many of these problems are amenable to mathematical analysis and, in many cases, there exist deep theories and rich historical narratives of attempts at solution. We will study three such problems all of current political and mathematical interest: apportionment of representation, voting, and gerrymandering. We will approach these problems by considering what abstract properties a "fair" solution should have then attempting to construct and analyze procedures that maximize our measures of fairness.

Prerequisite: Mathematics 232 or Mathematics 236

MATH 321.00 Real Analysis I 6 credits

Open: Size: 28, Registered: 18, Waitlist: 0

CMC 206

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 61587

Rafe F Jones

A systematic study of concepts basic to calculus, such as topology of the real numbers, limits, differentiation, integration, convergence of sequences, and series of functions.

Prerequisite: Mathematics 236 or instructor permission

MATH 332.00 Advanced Linear Algebra 6 credits

Open: Size: 25, Registered: 14, Waitlist: 0

CMC 206

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 61588

Mark Krusemeyer

Selected topics beyond the material of Mathematics 232. Topics may include the Cayley-Hamilton theorem, the spectral theorem, factorizations, canonical forms, determinant functions, estimation of eigenvalues, inner product spaces, dual vector spaces, unitary and Hermitian matrices, operators, infinite-dimensional spaces, and various applications.

Prerequisite: Mathematics 236 or instructor permission

STAT 340.00 Bayesian Statistics 6 credits

Closed: Size: 20, Registered: 25, Waitlist: 0

CMC 206

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 61454

Adam Loy

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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