3rd -5th May 2017 Workshop: Principles of Forecasting with R

Upcoming Workshop:

 

Principles of Forecasting with R

Date:- 3rd -5th May 2017

Place:- Mathematics Department, College of Science, Salahaddin University-Erbil, Kurdistan Region-IRAQ.

Sponsored by: Salahaddin University- Erbil

 

The registration has been halted


 

 

Instructor

Bahman Rostami-Tabar

Cardiff Business School, Cardiff University, UK

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Local Organizer Coordinator

1. Director, Khwazbeen Saida Fatah, Mathematics Department, College of Science, Salahaddin University - Erbil, Kurdistan Region/IRAQ.

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2- Member, Swar Omer Ahmed, Mathematics Department, College of Science, Salahaddin University - Erbil, Kurdistan Region/IRAQ.

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3- Member, Evar Lutfalla Sadraddin, Mathematics Department, College of Science, Salahaddin University - Erbil, Kurdistan Region/IRAQ.

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4- Member, Saman Ahmed Bapir, Mathematics Department, College of Science, Salahaddin University - Erbil, Kurdistan Region/IRAQ.

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Please install a recent version of R and RStudio

1. Download and install R: http://www.r-project.org

2. Download and install RStudio: http://www.rstudio.com/products/rstudio

 

 

 

 

 

The program of the workshop

Wednesday, 3rd May 2017
09:00 - 09:30 Registration and welcome
09:30 - 10:00 R, RStudio, RMarkdown
10:00 - 10:30 Forecasting and decision making
10.30 - 11:00  Data preparation
11:00 - 11:15 Break
11:15 - 12:15 Data exploration
12:15 - 13:00  Data visualization
13:00 - 14:00  Lunch
14:00 - 15:30 Practical forecasting : an overall view
15:30 - 15:45  Break
15:45 - 17:00 Reports with RMarkdown
Thursday, 4th May 2017
09:00 - 09:30 Time series components
09:30 - 11:00  Decomposition and forecasting
11:00 - 11:15 Break
11:15 - 13:00 Exponential smoothing models
13:00 - 14:00 Lunch
14:00 - 15:30 ARIMA models
15:30 - 15:45  Break
15:45 - 17:00 Neural networks and TBATS (Trigonometric Exponential Smoothing)
Friday, 5th May 2017
09:00 - 11:00 Regression
11:00 - 11:15 Break
11:15 - 13:00 Model selection
13:00 - 14:00 Lunch
14:00 - 15:30 Intermittent demand forecasting
15:30 - 15:45 Break
15:45 - 16:45 Forecasting by aggregation
16:45 - 17:00 Feedbacks, comments

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