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This course is designed specifically for engineers and STEM professionals who want a rigorous, application-driven introduction to machine learning. Rather than presenting AI as an abstract or purely software-oriented discipline, the course frames every concept within engineering workflows, physical modeling, and research practice.Most machine learning courses emphasize generic datasets and business-oriented use cases. In contrast, this course connects core ML methodology directly to engineering problems.The course begins with Linear Regression Fundamentals, using the concrete example of predicting elastic stress in a steel specimen to introduce essential terminology and concepts, including loss functions, optimizers, and generalization. This establishes a mathematically grounded understanding of supervised learning before moving to more advanced models.Students then move beyond black-box modeling through Symbolic Regression and Genetic Programming, learning how to discover interpretable, closed-form mathematical relationships directly from data. For example, the course demonstrates how to recover governing-style equations such as predicting the tip deflection of a cantilever beam. This module emphasizes interpretability, physical insight, and equation discovery.The course also covers Neural Networks and Deep Learning, including the construction and training of fully connected feedforward neural networks (FNNs) and convolutional neural networks (CNNs). These architectures are applied to realistic engineering tasks, such as image-based crack detection in concrete surfaces, illustrating how deep learning supports inspection and structural health monitoring.Additionally, the course explores the use of LLMs (large language models), such as ChatGPT, Claude, and Gemini, for writing and debugging code. It also examines responsible ways to use these tools, as well as common pitfalls, including hallucinations and other

هل تشعر بالارتباك أمام متطلبات مشروع التخرج أو مشاريع الأنظمة البرمجية؟ هل تتساءل كيف يمكنك تحويل فكرتك إلى توثيق فني (Documentation) متكامل ينال إعجاب لجان التحكيم؟ هذه الدورة هي الحل الأمثل لك. لقد صممنا هذا المحتوى بناءً على معايير التقييم الأكاديمية العالمية (Rubrics) لنضمن لك ليس فقط النجاح، بل التميز في عرض مشروعك.تأخذك هذه الدورة في رحلة منظمة تبدأ من "الصفر"، حيث نتعلم كيفية اختيار المصادر والمراجع الموثوقة وكيفية إثبات أصالة فكرتك، وصولاً إلى أدق التفاصيل التقنية في تحليل وتصميم النظم. لن تكون مجرد دورة نظرية، بل هي خارطة طريق عملية لكل فصل من فصول مشروعك.ماذا ستتعلم في هذه الدورة؟ (محتوى تفصيلي):1. الفصل الأول: التأسيس وصياغة المشكلة سنتعلم كيفية كتابة مقدمة قوية، تحديد مشكلة الدراسة بدقة، صياغة الأهداف والفوائد (Objectives Importance)، وتحديد قيود المشروع (Limitations) والكلمات المفتاحية.2. الفصل الثاني: مراجعة الأدبيات وتحليل المتطلبات سنغوص في كيفية جمع متطلبات أصحاب المصلحة (Stakeholders)، والتمييز بين المتطلبات الوظيفية وغير الوظيفية، وإجراء تحليل (SWOT) واستطلاعات الرأي (User Survey) لضمان احتياج السوق لفكرتك.3. الفصل الثالث: التحليل الفني العميق (System Analysis) هنا نبدأ الجانب التقني؛ حيث ستتقن رسم مخططات تدفق البيانات (DFD)، وحالات الاستخدام (Use Case Scenarios)، ومخططات النشاط (Activity Diagrams) التي تعكس منطق عمل نظامك.4. الفصل الرابع: التصميم الهندسي (System Design) سنتنقل إلى تصميم البنية التحتية للنظام عبر مخططات الفئات (Class Diagram) والتسلسل (Sequence Diagram)، بالإضافة إلى تعلم أساسيات تصميم واجهات الإدخال والإخراج (Input/Output Design) لضمان تجربة مستخدم سلسة.5. الفصل الخامس: النتائج والتوصيات كيفية تلخيص النتائج، وضع توصيات مستقبلية، وكتابة خاتمة تعكس قيمة العمل المبذول.

Welcome to the Tabtrainer® Certified Series – your expert platform for advanced statistical quality improvement using Minitab®.In this course, you'll master full factorial Design of Experiments (DOE) with a special focus on integrating center points and blocking – powerful techniques that bring real-world robustness to your experimental designs.You’ll learn how to structure experiments in Minitab®, detect curvature with center points, control for external noise using blocking variables, and use power analysis to ensure your design’s sensitivity. Through real industrial cases, you’ll perform ANOVA, regression, and optimization using Minitab’s Response Optimizer to derive statistically sound, actionable recommendations.Taught by Prof. Dr. Murat Mola, TÜV-certified Six Sigma expert and Professor of the Year 2023 in Germany, this course equips engineers, technicians, and Six Sigma professionals with the advanced skills needed to make data-driven decisions and optimize complex manufacturing processes.Course Description:This comprehensive training course is your step-by-step guide to mastering full factorial Design of Experiments (D.O.E.) using Minitab®, the industry-leading software for statistical analysis and quality improvement. Designed for engineers, quality managers, Six Sigma practitioners, and analysts, this course combines robust statistical theory with practical application inside Minitab’s user-friendly interface.You will begin by learning how to create full factorial experimental designs in Minitab, including the integration of center points and blocking structures to account for real-world factors like operator variability or process instability. With Minitab’s intuitive dialogs, you’ll learn to calculate statistical power, determine the required number of replicates, and ensure that y

Reach your engineering dreamsThe course is designed to provide students with essential technical and practical knowledge necessary to become a skilled operator. Students will learn about machine configurations, controls, specifications and capabilities as well as laser cutting principles. Upon completion of the course, students will be able to run the machine safely, manage part programs, apply appropriate cutting techniques, modify cutting parameters, perform basic maintenance duties, and produce high-quality cut parts.By this course you would encompass a comprehensive study of cnc metal cutting and laser machine . Within a limited time of 3.25 hours, this course would elaborate on the theory of CNC Fiber LASER Cutting supplemented with all the features, Shortcuts , Nesting Programming of CNC LASER Machine.Who should do this course? Engineering Students who Wish to Make there Carrier in Engineering technology.For CNC LASER Cutting owners CNC machinists CNC machine operators What are the course deliverables?Programming of CNC LASER MachineHaving a General Understanding of fiber laser.Teaches you how to make NestingOperational Training of CNC Fiber Laser Cutting Machine.Calibrate your Machine for Optimum Performance.More about this courseThis course builds on fundamental knowledge of CNC operations and part design for fiber laser cutting. Students will apply this information in a uniquely designed interactive and demonstration optimizing the operation of a CNC laser cutting machine.The Course is intended for customer maintenance personnel to gain a solid understanding of how the machine and laser system function to keep them running at their peak performan

In this course we will be covering subjects of basics of robotics, how to make your first robot from scratch and a very basic introduction of Arduino. Arduino is an open source micro controller platform developed for easy use by every person related to electronics. Using Arduino, it can read signals from various sensors, flash lights, start motors; In short, you can make any electronic application you can think of. We will start with basic components of robots and their functions. Then understand what is an Arduino, and how it is useful in science of Robotics. I will show you step by step how to build a robot that functions. There are also examples of making of robots with sensors. I have explained the production process both by coding and assembly of tools. This way you can both learn about coding of Arduino and tools that we are using in robotic process. While coding with Arduino, you also get the knowledge of C++. C++ is the language that is used when coding with Arduino. But knowledge of C also can also be beneficial. Therefore it means that by learning Arduino you get the basic knowledge of coding too which can be beneficial for you in the other areas of tech business as well.

Note - CFD results always need to be validated with experimental data before blindly relying on them.This course will take you through all the basics required in order to simulate simple CFD problems using OpenFOAM.Geometry preparation will be covered using Salome.Meshing will be covered using Salome and snappyHexMesh.Solving will be covered using OpenFOAM solvers.Post-processing of results will be covered using Paraview.All these software are available for free without any license costs.CFD helps to reduce the cost of products by saving time and money in prototype testing phase. Rapid prototype testings can be done by using CFD technology to predict the future behavior of the product. It enables us to foresee any shortcomings in the product and rectify them before the actual manufacturing phase of the product. This is a young technology and can grow substantially in near future.You will be able to draw CAD models using the dimensions of any given geometry. Then you will understand how to mesh the geometry in Salome to get appropriate results. Mesh size plays an important role in deciding the accuracy of your results. Assumption of boundary conditions is another important aspect in any CFD simulation. Replication of real-life conditions must be correctly implemented in the CFD boundary conditions. Finally good post-processing of the results helps you to deliver your results successfully to the non-technical