介绍duction to Applied Time Series Analysis & Forecasting
日期/时间: November 12th 14:00 to 17:00
地点: 菠菜网lol正规平台 College of Social 科学 - WSQ 113
教练: Dr. Egbe-Etu Etu
This workshop is sponsored by the generous funding from Public Interest Technology University Network grant to provide support for educational activities focused on equitable access to technologies.
Dr. Egbe-Etu Etu is an Assistant Professor of 业务 Analytics at San Jose State University (菠菜网lol正规平台). Before joining 菠菜网lol正规平台, Dr. Etu received his Ph.D. in Industrial 和 Systems Engineering from Wayne State University in 2021 和 his bachelor’s degree in Civil Engineering from Covenant University, Nigeria, in 2016. His research interest centers on the development of use-inspired machine learning models to solve challenging business problems in healthcare, manufacturing, 和 transportation. The main aim of his research is to develop decision-support tools that will help business professionals do their best work, improve resilience 和 overall system performance while minimizing 错误. He is a member of the Industrial Engineering 和 Operations Management (IEOM), Institute of Industrial & Systems Engineering (IISE), 和 SAVE International. In 2020, he received the IEOM Annual Conference Best Paper Award in the Healthcare Systems track.
Workshop description:
The objective of the course is to introduce you to time series analysis 和 forecasting. The orientation of the course is theoretical 和 applied. A theoretical underst和ing of time series 和 the forecasting problem is critical for underst和ing forecasting methods 和 using them effectively. 学生 will learn several important tools to provide trend analytics 和 forecasting based on past data 和 time series. 学生 will be able then to apply the tools 和 techniques of time series analysis to complex problems in areas such as public health, travel dem和 forecasting 和 climate forecasting to reach effective solutions.
Learning outcomes:
- Learn how to construct a time-series plot & identify the underlying patterns in 的数据.
- Learn basic concepts in time series regression.
- Learn how to develop forecasts for a time series that has a seasonal pattern.
- Utilize R for computation, visualization, 和 analysis of time series data.
Class outline
- 介绍duction to time series
- Time series patterns
- Forecast accuracy
- Time series regression
- Advanced time series modeling
- Applied project (class exercise)
Technology Requirements
We will utilize the R programming software for statistical analysis in this course.
Click here to download RStudio 和 R 对于windows. 也看到 RStudio 和 R 对于mac. The following YouTube tutorials will help you install the files:
窗户 – RStudio 和 R·
Mac – RStudio 和 R
费用
Individual course fee:
Early bird registration (直到10月. 20, 2022): $275
Regular registration (从10月. 21, 2022): $300
Full program fee (including all of the workshops):
Early bird registration (直到10月. 20, 2022): $975
Regular registration (从10月. 21, 2022): $1000
