## ENROLL Course Search

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

### CS 252.00 Algorithms 6 credits

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

M | T | W | TH | F |
---|---|---|---|---|

11:10am12:20pm | 11:10am12:20pm | 12:00pm1:00pm |

#### Requirements Met:

#### Other Tags:

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

M | T | W | TH | F |
---|---|---|---|---|

8:30am9:40am | 8:30am9:40am | 8:30am9:30am |

#### Requirements Met:

#### Other Tags:

(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

M | T | W | TH | F |
---|---|---|---|---|

12:30pm1:40pm | 12:30pm1:40pm | 1:10pm2:10pm |

#### Requirements Met:

#### Other Tags:

(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

M | T | W | TH | F |
---|---|---|---|---|

12:30pm1:40pm | 12:30pm1:40pm | 1:10pm2:10pm |

#### Requirements Met:

#### Other Tags:

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

M | T | W | TH | F |
---|---|---|---|---|

10:10am11:55am | 10:10am11:55am |

#### Special Interests:

#### Other Tags:

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

M | T | W | TH | F |
---|---|---|---|---|

11:10am12:20pm | 11:10am12:20pm | 12:00pm1:00pm |

#### Requirements Met:

#### Other Tags:

*Prerequisite:* Mathematics 236 or instructor permission

### MATH 332.00 Advanced Linear Algebra 6 credits

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

M | T | W | TH | F |
---|---|---|---|---|

1:50pm3:00pm | 1:50pm3:00pm | 2:20pm3:20pm |

#### Requirements Met:

#### Other Tags:

*Prerequisite:* Mathematics 236 or instructor permission

### STAT 340.00 Bayesian Statistics 6 credits

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

M | T | W | TH | F |
---|---|---|---|---|

9:50am11:00am | 9:50am11:00am | 9:40am10:40am |

#### Requirements Met:

#### Other Tags:

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

### Search for Courses

This data updates hourly. For up-to-the-minute enrollment information, use the Search for Classes option in The Hub