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Dec 27, 2024
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MA 2411 - Time Series Analysis4 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. Won Chul Song
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