STATS 506 (Fall 2021)
Computational Methods and Tools
Class Time: 10:00am-11:30am TuTh
STATS 306 (Fall 2021)
Introduction to Statistical Computing
Class Time: 2:30pm-4:00pm TuTh
This course introduces basic concepts in computer programming and statistical computing techniques as they are applied to data extraction and manipulation, statistical processing, and visualization. It is aimed primarily at undergraduate majors and minors in Statistics.
STATS 306 (Fall 2020)
Introduction to Statistical Computing
Class Time: Online Instruction
Class Information: click for more information
This course introduces basic concepts in computer programming and statistical computing techniques as they are applied to data extraction and manipulation, statistical processing, and visualization. It is aimed primarily at undergraduate majors and minors in Statistics.
STATS 511 (Winter 2020)
Statistical Inference
Class Time: 3330 MH, 10:00am-11:30am MW
Office Hours: 11:30am-1:00pm M
This is an introductory course to statistical estimation and inference designed for graduate students with sufficient mathematical statistics background. The course will cover the following topics: sufficient statistics, exponential family of distributions, sampling distributions and relevant properties, likelihood principles, point estimation and interval estimation, hypothesis testing, model selection, large sample approximations, and selected topics in contemporary statistical methods. This is a continuation of STATS 510.
STATS 412 (Fall 2019)
Introduction to Probability and Statistics
Class Time: MLB 1220, 8:30am-10:00am WF
Office Hours: 10am-11am W, 1:30-3:00pm Th
This course introduces topics in probability and statistics for engineering and the sciences, with emphasis on understanding the fundamental concepts and interpretation. You will learn introductory probability theory; properties of a wide range of statistical distributions; estimation and confidence intervals; testing statistical hypothesis; concepts and interpretation on linear regression.
Computational Methods and Tools
Class Time: 10:00am-11:30am TuTh
STATS 306 (Fall 2021)
Introduction to Statistical Computing
Class Time: 2:30pm-4:00pm TuTh
This course introduces basic concepts in computer programming and statistical computing techniques as they are applied to data extraction and manipulation, statistical processing, and visualization. It is aimed primarily at undergraduate majors and minors in Statistics.
STATS 306 (Fall 2020)
Introduction to Statistical Computing
Class Time: Online Instruction
Class Information: click for more information
This course introduces basic concepts in computer programming and statistical computing techniques as they are applied to data extraction and manipulation, statistical processing, and visualization. It is aimed primarily at undergraduate majors and minors in Statistics.
STATS 511 (Winter 2020)
Statistical Inference
Class Time: 3330 MH, 10:00am-11:30am MW
Office Hours: 11:30am-1:00pm M
This is an introductory course to statistical estimation and inference designed for graduate students with sufficient mathematical statistics background. The course will cover the following topics: sufficient statistics, exponential family of distributions, sampling distributions and relevant properties, likelihood principles, point estimation and interval estimation, hypothesis testing, model selection, large sample approximations, and selected topics in contemporary statistical methods. This is a continuation of STATS 510.
STATS 412 (Fall 2019)
Introduction to Probability and Statistics
Class Time: MLB 1220, 8:30am-10:00am WF
Office Hours: 10am-11am W, 1:30-3:00pm Th
This course introduces topics in probability and statistics for engineering and the sciences, with emphasis on understanding the fundamental concepts and interpretation. You will learn introductory probability theory; properties of a wide range of statistical distributions; estimation and confidence intervals; testing statistical hypothesis; concepts and interpretation on linear regression.
A lot of statistical computing can be done using R or Rstudio. You may also find jupyter useful for creating R notebooks. These software are freely available at:
R https://cran.r-project.org
Rstudio https://www.rstudio.com
jupyter https://nbviewer.jupyter.org
R https://cran.r-project.org
Rstudio https://www.rstudio.com
jupyter https://nbviewer.jupyter.org
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