MA 2411 - Time Series Analysis

4 lecture hours 0 lab hours 4 credits

Course Description
This course is designed for actuarial science majors taking the sequence of actuarial exams. A time series is a collection of measurements taken at different points in time. This course will introduce the theory and practice of analyzing time series, emphasizing practical skills. In particular, these skills will include providing compact descriptions of time series data, interpretation of time series data, forecasting future values based on known time series data, hypothesis testing with respect to time series analysis, and simulation using time series models. (prereq: MA 232 or MA 2323, MA 2630, MA 2410 or consent of the AS program director)

Course Learning Outcomes
Upon successful completion of this course, the student will be able to:

State the basic theory of time-series analysis and forecasting approaches
Synthesize the relevant statistical knowledge and techniques for forecasting
Identify, define, and formulate forecasting problems and use statistical software for the analysis of time series and forecasting
Interpret analysis results and make recommendations for the choice of forecasting methods
Produce and evaluate forecasts for a given time series
Present analysis results of forecasting problems
Be able to read published articles concerning time series

Prerequisites by Topic

Calculus (single variable and multivariable)
Probability theory and application
Statistics including regression

Course Topics

Simple linear regression
Multiple linear regression
Model building
Residual analysis
Time series regression
Exponential smoothing

Coordinator
Dr. Yvonne Yaz

Announcement

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Milwaukee School of Engineering

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MA 2411 - Time Series Analysis