Statistics in Comp&Engineering
Manchester
Coll of Professional Studies::Computing Technology
Credits: 4.0
Class Size: 20
Term:
Spring 2024
-
Full Term (01/23/2024
-
05/06/2024)
CRN:
53167
Grade Mode:
Letter Grading
An introduction to tools from probability and statistics that are needed by computing and engineering professionals. Exploratory data analysis including graphic data analysis. discrete and continuous probability distributions, inference, linear regression, and analysis of variance, with applications from artificial intelligence, machine learning, data mining, and related topics. Project work and use of statistical software are an integral part of the course.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): MATH 425
Instructors:
Mateusz Pacha-Sucharzewski
Times & Locations
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 1/23/2024 | 5/6/2024 | T | 5:40pm - 8:30pm | PANDRA P126 |
