Design of Experiments

تصميم التجارب

5.00 (5 reviews)
Udemy
platform
العربية
language
Engineering
category
Design of Experiments
9
students
20 hours
content
Apr 2024
last update
$199.99
regular price

What you will learn

Fundamentals of the Design of Experiments (DoE).

Basic concepts of hypothesis testing, analysis of variance and mean comparison.

ANOVA

How to present and interpret the final results (bar charts, contour plots, tables)

Why take this course?

🚀 **Master the Art of Experiment Design with "تصميم التجارب (Design of Experiments)" by Mohamed Sayed El-Ashhab!** Egyptian scientist, researcher, and course instructor Mohamed Sayed El-Ashhab is here to guide you through the intricate world of experimental design. This comprehensive online course, **"تصميم التجارب" (Design of Experiments)**, is a game-changer for anyone looking to master the principles behind planning and executing experiments with precision and insight. 🧪✨ ### **Course Overview:** This course delves into the heart of experimentation, showcasing how ** Design and Analysis of Experiments (DoE)** is an indispensable tool across various disciplines including science, technology, product development, commercialization, and process improvement. The key to robust and reliable results hinges on the meticulous design of the experiments you conduct. ### **What You Will Learn:** - 📊 **Basic Statistics Concepts** - Lay the foundation with essential stats knowledge, particularly in hypothesis testing and analysis of variance (ANOVA). - 🔁 **Factorial Designs** - Understand the impact of multiple factors simultaneously and learn how to interpret their effects and interactions. - 🛠️ **2-Level Factorial Designs** - Focus on the most common type of factorial designs, exploring full, homogeneous, blocked, and fractional designs. - 📚 **Real-World Examples** - Benefit from a wealth of practical examples that bring theoretical concepts to life. - 💻 **Data Analysis Tools** - Utilize MS Excel and R-Studio for data analysis. No prior knowledge of R is required, as all scripts are provided with easy-to-follow explanations. ### **Course Structure:** 1. **Introduction to Experimental Design:** A brief overview of the importance of design in experimentation. 2. **Statistics Foundations:** A solid grounding in basic statistics to support hypothesis testing and ANOVA. 3. **Factorial Designs Explained:** From defining effects and interactions to understanding their significance. 4. **Two-Level Factorial Designs:** Deep dive into the most commonly used designs, including full, homogeneous, blocked, and fractional. 5. **Real Applications:** Practical examples to illustrate how these principles work in real-world scenarios. 6. **Data Analysis with Excel and R:** Step-by-step guidance on using Excel for basic analysis and R for more advanced data processing. 7. **Critical Analysis of Results:** Learn how to critically analyze experimental outcomes and present your findings effectively. ### **Why Enroll?** ✅ **Versatility in Learning:** Whether you're an engineering student, a quality assurance specialist, or a curious mind eager to understand the science behind experimentation, this course is designed for everyone. ✅ **Skill Development:** Gain the skills to select the most suitable experimental design and analyze your data with confidence. ✅ **Practical Application:** Present and discuss your results using charts, contour plots, and tables, transforming raw data into actionable insights. ✅ **Expert Instruction:** Learn from an industry expert who has a wealth of practical experience in the field. ### **By the End of This Course, You Will Be Able to:** - Select the most appropriate experimental design for your needs. - Analyze experimental data with increased confidence and precision. - Present your results in a clear and professional manner, leveraging charts, contour plots, and tables to communicate your findings effectively. Ready to revolutionize the way you approach experiments? Join Mohamed Sayed El-Ashhab in **"تصميم التجارب (Design of Experiments)"** today and take the first step towards becoming an experimental design expert! 🎓🎉

Screenshots

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5733132
udemy ID
12/28/2023
course created date
2/16/2024
course indexed date
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