Finite Element Analysis with MATLAB and ANSYS

In this course you will learn and be proficent on one of the most powerful software program for power system field which is NEPLAN. It is widely used to analyze, design, improve, and simulate networks. All electrical features in transmission, distribution, generating, and industrial networks are covered by the adaptable software, which has a modular design. Due to the excellent accuracy and performance of all required models and simulation techniques, it is ideally suited for usage with renewable energy systems and SmartGrid applications. The NEPLAN simulator enables detailed modeling of wind and solar power plants with associated controls for dynamic simulations (RMS/EMT), as well as the integration of Matlab/Simulink models, in addition to steady state calculations, power quality and optimization elements, and protection design. The software's strength is its incredibly user-friendly graphical user interface with its comprehensive libraries for network components, security systems, and control circuits, which enables the user to complete study cases quickly. The program is modular in design, built to meet IEC, ANSI, IEEE, and other international standards, and it may be tailored for the European and American markets. The accuracy and performance of the stationary and dynamic models for 1-2-3 phase (with neutral and ground wire) AC and DC networks are quite excellent. New IT approaches and algorithms may readily manage very large networks (over 500 000 bus bars).

This course is composed of more than 20 videos. Each section is composed of one or more videos. These videos are created by an electrical engineer with an industrial background acquired during several years of working in different fields (automotive industry, pharmaceutical industry, mining industry…). In this course we tried to cover the essential theoretical and practical aspects of the variable frequency drives.This course is described as follows :Section1 : What is a VFD and how does it work .Section2 : Common applications of the VFDs in industrial environment.Section3 : Choosing the right VFD for your application: Factors to consider when selecting a VFD.Section4 : VFD wiring and installation:Section5 : Electrical safety considerations when working with VFDsSection6 : Practical demonstration of a VFD Schneider Electric ATV28HU09M2 This course will start from the principle of working of a variable frequency drive, passing through the common applications and how to choose a VFD to conclude with a practical demonstration of wiring, programming and operating the VFD.This course targets Beginners or advanced technicians curious to learn more about AC motor control, engineers working in industrial fields and electrical engineering students.So if you are ready to learn about VFDs , I'll catch you in this course. I look forward to seeing you on the inside.

هل تبحث عن طريقة سريعة وعملية لتعلم AutoCAD دون الحاجة لدورات طويلة ومملة؟"أوتوكاد السريع: أقصر دورة لتعلم AutoCAD من الصفر للاحتراف" هي دورتك المثالية!في هذه الدورة المكثفة، ستتعلم أساسيات برنامج AutoCAD من الصفر خطوة بخطوة، من خلال 7 فيديوهات قصيرة ومركزة. نأخذك في رحلة تعليمية تبدأ من الأدوات البسيطة كالرسم بالخطوط والأشكال الهندسية، إلى أدوات التعديل مثل النسخ، النقل، التدوير، الإزاحة، ثم ننتقل لإدارة الطبقات (Layers) والتظليل (Hatch)، بالإضافة إلى الأبعاد (Dimensions) والبلوكات (Blocks)، وانتهاءً بالرسم الأيزومتري.تم تصميم الدورة لتناسب الطلاب، المهندسين، المصممين، أو أي شخص يرغب في إتقان AutoCAD في وقت قصير. لا تحتاج إلى أي خبرة سابقة، فقط جهاز كمبيوتر وبرنامج AutoCAD مثبت، ورغبة قوية في التعلم السريع.كل فيديو يركز على جانب عملي محدد، مع أمثلة وتمارين تطبيقية تساعدك على تطبيق المهارات فورًا. نبتعد عن التعقيد، ونقدّم لك المحتوى بأبسط الطرق الممكنة، لتكون قادرًا على إنشاء وتعديل الرسومات الفنية بكفاءة واحتراف.كما تساعدك هذه الدورة على بناء أساس قوي في استخدام AutoCAD في الأعمال الهندسية اليومية، مما يفتح لك فرصًا أفضل في سوق العمل ويُعزز من كفاءتك المهنية.الدورة أيضًا مناسبة كمرجع سريع ودائم يمكنك الرجوع إليه في أي وقت خلال دراستك أو عملك.سجّل الآن وابدأ رحلتك مع AutoCAD اليوم – بأسهل وأقصر طريقة ممكنة!

Hey all my fellows, professors, researcher , scholars , colleagues and learners. I am going to launch a course on LaTex , which is extremely needed for any type of documentation you want to make. Many academic disciplines, including mathematics, computer science, engineering, physics, chemistry, economics, linguistics, quantitative psychology, philosophy, and political science, employ LaTeX for scientific document communication and publication. Additionally, it plays a significant part in the creation and dissemination of books and articles that contain intricate multilingual content, such Arabic and Greek. LaTeX is written in the TeX macro language and formats its output using the TeX typesetting tool.LaTeX can be used as an intermediary format or as a stand-alone document preparation system. For instance, in the latter function, it is occasionally used as a component of a pipeline for converting DocBook and other XML-based formats to PDF. You can write your thesis , do homework, make lab reports or poster and even your CV and Resume. In these video lectures i will cover from very basic like to make section, subsection, images , links and will go higher to plot mathematical expressions and functions.Interesting things is that you do not need any prior experience of coding for that. I highly appreciate if you share these lectures to needy one who wants to enhance his/her research skills.

This Database Management Systems (DBMS) course offers a thorough introduction to the principles, architecture, and practical aspects of database systems. It focuses on various data models, with special emphasis on the relational model and the use of SQL for querying and managing data. Key areas of study include normalization, database design, transactions, concurrency control, and data recovery. Students will engage in hands-on projects using contemporary DBMS tools. The course also delves into indexing methods, storage management, and database security. The course emphasizes the use of Structured Query Language (SQL) for creating, querying, and managing databases. Core topics include database normalization, indexing, storage mechanisms, and query optimization to ensure data integrity, efficiency, and performance. Students will also explore advanced concepts such as transaction management, concurrency control, and database recovery techniques, which are essential for maintaining consistency and reliability in multi-user environments.Practical sessions and hands-on projects using popular DBMS software will help reinforce theoretical concepts and develop real-world skills. The course also touches on current trends in database systems, including NoSQL and distributed databases, providing a broader understanding of modern data management challenges.By the end of the course, students will be equipped to design, implement, and maintain efficient and secure database systems, preparing them for roles in software development, data analysis, and information systems management. Upon completion, learners will be equipped to efficiently design, implement, and maintain reliable, scalable, and secure database solutions.

This course provides an in-depth exploration of the fundamental principles of Signals and Systems, with an emphasis on practical implementation using Python. Designed for students, professionals, and researchers, it offers a comprehensive understanding of both the theoretical concepts and computational techniques required to analyze and process signals and systems.The course begins with an introduction to the core concepts of signals and systems, including classifications, properties, and operations on continuous and discrete signals. Through hands-on coding in Python, learners will apply these concepts to solve real-world signal processing problems. The course covers key topics such as convolution, Fourier analysis, Laplace transforms, and Z-transforms, ensuring a thorough understanding of both time and frequency domain analysis.Learners will gain proficiency in using Python libraries such as NumPy, SciPy, and Matplotlib to simulate, analyze, and visualize signals and systems. The course progresses to advanced topics, such as system stability, filtering techniques, and real-time signal processing applications. By the end of the course, participants will have developed both the theoretical knowledge and practical coding skills necessary to tackle complex signal processing challenges in diverse fields, including communications, control systems, biomedical engineering, and data science.This course is ideal for individuals with a basic understanding of Python programming and a keen interest in learning about signals and systems.