UNIT INFORMATION
Disclaimer
This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.
MAT2215 | Time Series Forecasting | ||
SCHOOL OF ENGINEERING | |||
Credit Points: 15 | |||
Prerequisites: | |||
MAT1114 | Introductory Statistics | ||
or | |||
BES1100 | Foundations of Business Knowledge | ||
Description: | |||
Students will be provided an introduction to Time Series Forecasting. It will focus on time series decomposition, exponential smoothing, regression and Box-Jenkins models. Students will learn how to choose an appropriate time series model, apply the model, carry out a diagnostic check of the model and apply the model for prediction and forecasting. | |||
This Unit is part of the following Courses / Unit Sets | |||
K01 | Bachelor of Science (Applied Mathematics and Statistics) | ||
MAAABQ | Environmental and Physical Planning Major | ||
MAAACQ | Environmental Planning Major | ||
U41 | Graduate Diploma of Science (Mathematics) | ||
MIMAT | Mathematics Minor | ||
MAMAT | Mathematics Major | ||
MISTA | Statistics Minor | ||
Disability Standards for Education (Commonwealth 2005) | |||
For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes, Graduate Attributes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Student Equity, Diversity and Disability Service website: | |||
http://intranet.ecu.edu.au/student/support/student-equity |
Last Updated - Higher Education: 3/31/2008 VET: 3/31/2008