STAT 5170
Applied Time Series
Course Description
Prerequisites
STAT 3120
Studies the basic time series models in both the time domain (ARMA models) and the frequency domain (spectral models), emphasizing application to real data sets. Conceptual discussion in lectures is supplemented with hands-on practice in applied data-analysis tasks using SAS or R statistical software. Prerequisite: STAT 3120
Instructors
To Announced
Fall 2025
TuTh 9:30am - 10:45am
—
Rating
—
Difficulty
—
GPA
Jeffrey Woo
Spring 2023
MoWe 5:00pm - 6:15pm
3.5
Rating
4.2
Difficulty
—
GPA
Dan Spitzner
Fall 2022
MoWeFr 9:00am - 9:50am
1.0
Rating
5.0
Difficulty
3.24
GPA
Taylor Brown
Fall 2020
2.6
Rating
4.5
Difficulty
3.40
GPA
Jianhui Zhou
Fall 2019
—
Rating
—
Difficulty
3.76
GPA
Daniel Keenan
Spring 2019
2.3
Rating
2.3
Difficulty
3.36
GPA
Caitlin Steiner
Spring 2017
—
Rating
—
Difficulty
3.14
GPA
Yong Woo
Spring 2016
—
Rating
—
Difficulty
3.47
GPA
Faculty Staff
Fall 2015
—
Rating
—
Difficulty
—
GPA