Project 2

Using RT_Delphi Method to analyze the future of any organization (or country...).

Hint: identify the main challenges; then investigate experts' opinions bout the future developments of these challenges.

Plz study the attached examples to make a similar one. Code: dCg2s

To submit the project, send an email to   dssapps2012@yahoo.com  

Deadline: 20th of May

The email should contain the following:
1- Pdf File illustrating the main web-page where the expert should answer the questionnaire 
4- Names & IDs of members (if the ID do not match the name, your mark will not be recorded)


N.B. U must have the same group as the first project.

DSS Apps-Midterm Grades

Code:  fQnye

Delphi Method

Code:  xZtHB

Project Submission

To submit the project, send an email to   dssapps2012@yahoo.com  

Deadline: 10th of May

The email should contain the following:
1- template.xls  (the submission template) as indicated in http://www.kaggle.com/c/tourism1/data
2- Exe. File
3- Source Code File (s)
4- Pdf document illustrating the flow-chart or pseudo-code
4- Names & IDs of members (if the ID do not match the name, your mark will not be recorded)

Mini-Project

First Happy Easter

There are two parts for this Mini-Project

First Part: Developing the Code (submission: first lab after Easter)
In your first lab after Easter (isALLAH) bring a CD containing the following
- PDF file listing names & IDs (max. 5 students in each group)
- Source Code File
- Exe file
- Input Data (use the exponential smoothing file in the  Excel Files Subfolder (uploaded on this blog)
- Output Result Data (excel file)

Second Part: Testing the Code using an online international competition  (submission: first lab in May)
Then use the Program that you developed to predict 518 tourism-related time series.
http://www.kaggle.com/c/tourism1


Teams will be graded according to their rank in the competition.
Submission of the results of the competition: your first lab in May.



                

FS Intro_part_1

Code:  AE2K7

Tuesday 10 April

CHAPTER 7: Forecasting (Part 3)

Book: Applied Management Science, 2nd Edition

Code: nt7q8

Student_list_for_DS332Decision Support Systems and Applications

Code:  PVrDb