Workshop: Principles of Forecasting with R

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

Emailrostami-tabarb@cardiff.ac.uk

Local Organizer Coordinator

1. DirectorKhwazbeen Saida FatahMathematics Department, College ofScience, Salahaddin University – Erbil, Kurdistan Region/IRAQ.

Emailkhwazbeen.fatah@su.edu.krd

2- MemberSwar Omer Ahmed, Mathematics Department, College ofScience, Salahaddin University – Erbil, Kurdistan Region/IRAQ.

Email:swar.ahmed@su.edu.krd

3- MemberEvar Lutfalla Sadraddin, Mathematics Department, College ofScience, Salahaddin University – Erbil, Kurdistan Region/IRAQ.

Email:evar.sadraddin@su.edu.krd

4- MemberSaman Ahmed Bapir, Mathematics Department, College ofScience, Salahaddin University – Erbil, Kurdistan Region/IRAQ.

Email:saman.bapir@su.edu.krd

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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