MATH-345-01 Applied Time Series Analysis
Spring for 2016-2017
Faculty:
This course focuses on the theory and application of applied time series methods. Time series are data that are collected over time and thus, observations can not be considered as independent. In this course, the modeling and forecasting of univariate time series will be discussed and hands-on experience of time series methods will be obtained using the statistical software R. Examples are drawn from a variety of disciplines including business, finance, economics, environmental studies and ecology.
Credits: 3
Prerequisites: Math 140

Course syllabi
The following syllabi may help you learn more about this course (login required):
Spring '17: Arab A (description, file download)
Additional syllabi may be available in prior academic years.
More information
Look for this course in the schedule of classes.

The academic department web site for this program may provide other details about this course.