Engineering Problem Solving with R

I E 420X/520X XW


Course Description

Statistical analysis and engineering problem solving using R programming language. Data manipulation. Exploratory data analysis. Statistical quality assurance. Basic statistical analysis. R Markdown. Simulation. Conditional expressions, loops, and functions. Matrices. High level data visualizations. Data extraction from text. Optimization. Logistic regression. High performance computing tools. Project required for graduate credits.

3 credits

Questions

Instructor Contact

Sigurdur Olafsson

Registration Information

Course Dept
I E
Course Number
420X/520X
Section
XW
Credit Hours
3
Semester
Summer 2019
Dates
May 20 - Jul 12
Prerequisites
An introductory statistics course: Stat 231 or equivalent
Max Enrollment
30
Delivery Fee
$390.00 *
* Delivery Fee is additional to Tuition & Fees.

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