This is the first time in Kurdistan a professional training course about this subject is held. This training course is organized by” SOSS “company which is a specialized Iraqi company in the field of conducting surveys, marketing researches, feasibility studies, and special training courses.

Course Overview

This course is academically prepared for people who work in scientific research field, people who want to improve and grow their knowledge and working skills, or for those who want to improve their factory in choosing suitable designs by using scientific analysis and researches.

Course Objective

The main objective of the course is how to design and analyze researches using “SPSS” program which includes: Complete Randomized Design (CRD), Complete Randomized Block Design (CRBD), Factorial Experiments, etc. And many more topics will be explained during this course.

Course Languages

Our course will be provided in two languages:

• Kurdish Language
• Arabic Language

Course registration (Who Can Register In this Course)

This course is prepared for the following people:

1. Researchers who work in scientific research fields;
2. and PhD students in any field;
3. For teachers and students specialized in Statistics, Biology, Chemistry, Physics, Medicine, Engineering, Agriculture, Veterinary, and Polytechnics.
4. For company and factory employees who work in Statistics, Biology, Chemistry, Physics, Medicine, Engineering, Agriculture, Veterinary, and Polytechnic fields.
5. For people who want to improve and progress their factories to have better Material researching results.
6. Anyone who needs Data analyses using SPSS.

Course Requirements

1. Each Participant should have a personal laptop to practice the lessons taught in the course.
2. Participants should have a simple background in Statistics and SPSS program.

Number of Participants

 A total of 15-20 participants will be accepted via the participation registration form from all over Kurdistan and Iraq.

Course Duration and Fees

• Duration of the course is (30 hours) for 15 days, 4 times a week, 2 hours a day.
• Starting date is Sunday 20/10/2019
• Training course time : from 3-5 P.M.
• The fees of the course are 200 USD which includes: course fees, coffee break, installation of SPSS program. Fees can be paid cash or by Bank account.
• Location: SOSS company – Erbil – 100m street , Beside department of passport and residency ( Opposite Empire Towers)

Information about the Trainer

Dr. Omaid Sabir Abdullah Shwani is an assistant professor of Statistics and Informatics department in the College of Administration and Economics at Salahaddin University – Erbil. He had MSc and PhD in Experimental Design and has more than 21 years of experiences in teaching in Statistics, Data Analysis, and Experimental Design in local and International Organizations.

Dr. Omaid has more than 12 years of experiences as the administrator of Statistics and Planning directorate in the Ministry of Higher Education and Scientific Research, and a member of Kurdistan Economist Syndicate. He has done Statistical Analysis for more than 100 MSc theses and PhD dissertations in the last 15 years.

Course Registration

After filling the registration form you should visit the company in 2 days to confirm your registration and to pay the course fees, if not your seat will be taken by others.

For more information, please contact: 07508779933 or 07704489933.

To Participate in this training course please fill the from in the link below:

https://ee.kobotoolbox.org/single/::kT7Itp7q

Or email us and fill your information through the following emails:

info@soss-iraq.com    or   s.amir@soss-iraq.com

Information needed:

1. Full Name:
2. City/Town:
3. Email Address:
4. Phone Number:
5. Participant’s Job Title:
6. Participant’s Education Level:

Key topics of the course

1. Preliminaries

• General Goals of Experimental Design and some definition
• Experiment, Replication, Treatment, Experimental unit, Factor, Experimental error.
• Design structure and treatment structure.
• Analysis of variance, Ideal Conditions (Assumptions)
• Basic Principles of Experimental Design
• Data transformation)

2. Completely Randomized Design (CRD)

• Completely Randomized Design Definitions
• Principles and Usage
• Lay out of Experiment
• Liner model
• Data Analysis/ (one-way ANOVA Table)
• Advantages/Disadvantages
• Multiple Mean Comparisons
• Type of Models (Fixed or Random)
• Completely Randomized Design under unequally replication
• Liner model
• Data Analysis/ (one-way ANOVA Table)
• Multiple Mean Comparisons

3. Complete Randomized Block Design (CRBD)

• Completely Randomized Block Design Definitions
• Principles and Usage
• Lay out of Experiment (One-way Blocking)
• Liner model
• Data Analysis (ANOVA Table)
• Advantages/Disadvantages
• Missing Value & Relative of Efficiency (%RE)
• Multiple comparisons

4. Latin Square Design (LS)

• Latin Square Design Definitions
• Principles and Usage
• Lay out of Experiment (Two-way Blocking)
• Liner model
• Data Analysis (multi-way ANOVA)
• Missing data& Relative of Efficiency (%RE)

5. Greek Latin Square Design (GLS)

• Lay out of Experiment
• Liner Model, (ANOVA Table)

6. Factorial experiments

• Some Definition and Symbol
• Two-way experiments
• three-way experiments
• Advantages/Disadvantages
• Factorial experiments using completely randomized design
• Lay out of Experiment
• Liner Models
• Data Analysis (ANOVA Table)
• Multiple comparisons for factorial experiments
• Factorial experiments using complete randomized block design
• Lay out of Experiment
• Liner Models
• Data Analysis (ANOVA Table)
• Factorial experiments using Latin square Design
• Lay out of Experiment
• Liner Models
• Analysis of variance (ANOVA Table)
• Examples

7. Analysis of Covariance

• Analysis of Covariance Definitions
• Principles and Usage
• Lay out of Experiment
• Models and one-way analysis of covariance in completely randomized design
• Examples