|Class Days:||Tu, Th|
|Instructor:||Jerome R Busemeyer|
|Days Per Week Offered:||2|
|Recommended follow-up classes:||time series 2|
|Syllabus:||No Syllabus Avaliable|
|Keywords:||linear dynamics, stochastic processes, auto regression, state space models|
|Description:||Purpose: Introduce students to linear dynamic systems theory, statistical models for time series data, and statistical tools for signal processing. Learn how to use time series and signal processing programs to analyze research data.
Method: Basic theory and computer examples will be presented by the instructor during lectures. Approximately biweekly homework assignments will be completed by students. These will be 5 minute classroom presentations by students.
|Books:||Shumway, Robert H., & Stoffer, David S. (2006) Time series analysis and its applications. Springer|
|Formal Computing Lab:||Yes|
|Software:||MatLab, R, Stata|
|How Software is Used:||bi weekly|