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Your search for courses for 23/WI and with code: STATELEC found 3 courses.
MATH 271.00 Computational Mathematics 6 credits
Closed: Size: 25, Registered: 28, Waitlist: 0
| M | T | W | TH | F |
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| 1:50pm3:00pm | 1:50pm3:00pm | 2:20pm3:20pm |
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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
STAT 220.00 Introduction to Data Science 6 credits
Open: Size: 30, Registered: 27, Waitlist: 0
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| 8:30am9:40am | 8:30am9:40am | 8:30am9:30am |
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(Formerly Mathematics 285) This course will cover the computational side of data analysis, including data acquisition, management, and visualization tools. Topics may include: data scraping, data wrangling, data visualization using packages such as ggplots, interactive graphics using tools such as Shiny, supervised and unsupervised classification methods, and understanding and visualizing spatial data. We will use the statistics software R in this course.
Prerequisite: Statistics 120 (formerly Mathematics 215), Statistics 230 (formerly Mathematics 245) or Statistics 250 (formerly Mathematics 275)
STAT 330.00 Advanced Statistical Modeling 6 credits
Open: Size: 20, Registered: 13, Waitlist: 0
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| 12:30pm1:40pm | 12:30pm1:40pm | 1:10pm2:10pm |
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(Formerly MATH 315) Topics include linear mixed effects models for repeated measures, longitudinal or hierarchical data and generalized linear models (of which logistic and Poisson regression are special cases) including zero-inflated Poisson models. Depending on time, additional topics could include survival analysis, generalized additive models or models for spatial data.
Prerequisite: Statistics 230 and 250 (formerly Mathematics 245 and 275) or permission of the instructor
Formerly Mathematics 345
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