This course will meet online:

Tue Thu 11:00 AM - 12:15 PM

Course Description

Introduction to scientific computing for statistics using tools and concepts in R: programming tools, modern programming methodologies, modularization, design of statistical algorithms. Introduction to C programming for efficiency; interfacing R with C. Building statistical libraries. Use of algorithms in modern subroutine packages, optimization and integration. Implementation of simulation methods; inversion of probability integral transform, rejection sampling, importance sampling. Monte Carlo integration.

3 credits

Questions

Instructor Contact

Karin Dorman

Registration Information

Course Dept
STAT
Course Number
580
Section
1
Credit Hours
3
Semester
Spring 2021
Dates
Jan 25 - May 7
Prerequisites
STAT 579; STAT 447 or STAT 542
Max Enrollment
30
Delivery Fee
$ *
* Delivery Fee is additional to Tuition & Fees.

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