Info.sjsu.edu


Index:  ABCDEFGHIJKLMNOPQRSTUVWXYZ   Search Keyword

MATH 265

Time Series Theory and Methods

Description
Analysis of correlated data in time, trends, seasonal patterns, periodicity, autocorrelation, spectral/frequency analysis, filtering, ARIMA models, state-space models, forecasting. Applications from various fields including economics, signal processing, finance, atmospheric science. Prerequisite: MATH 261A with a grade of "B" or better

Grading
Normal Grade Rules

Units
3