STAT153
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STAT 153 - Introduction to Time Series
Course Title
Introduction to Time Series
Course Description
An introduction to time series analysis in the time domain and spectral domain. Topics will include: estimation of trends and seasonal effects, autoregressive moving average models, forecasting, indicators, harmonic analysis, spectra. This course uses either R or Python as its primary computing language, as determined by the instructor.
Minimum Units
4
Maximum Units
4
Grading Basis
Default Letter Grade; P/NP Option
American Cultures Requirement
No
Reading and Composition Requirement
None of the Reading and Composition Requirement
Prerequisites
101, 134 or consent of instructor. 133 or 135 recommended.
Repeat Rules
Course is not repeatable for credit.
Term
Fall and Spring
Weeks
15 weeks
Weeks
15
Lecture Hours
3
Lecture Hours Min
5
Lecture Hours Max
5
Laboratory Hours
2
Laboratory Hours Min
2
Laboratory Hours Max
2
Outside Work Hours
7
Outside Work Hours Min
7
Outside Work Hours Max
7