Statistics in Comp&Engineering
Manchester
UNH-Manchester :: Computing Technology
Online Course Delivery Method: Online with some campus visits, EUNH
Credits: 4.0
Term: Spring 2022 - UNHM Credit (15 weeks) (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Term: Spring 2022 - UNHM Credit (15 weeks) (01/25/2022 - 05/09/2022)
Grade Mode: Letter Grading
Class Size:
20
CRN: 54360
CRN: 54360
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. Prereq: MATH 425.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Instructors: Mateusz Pacha-Sucharzewski
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
1/25/2022 | 5/9/2022 | T | 5:31pm - 8:30pm | PANDRA P146 |