Advanced OpenFOAM CFD: Dynamic Meshes And Motion

The main scope of this short course is to teach how to make stress calculations in piping systems. These calculations can be done in a predesign phase, for making budgets or to check existing installations. The methods described in this course can be used in all process industries. In the course you'll find numerous worked out examples.The topics in this course are:Stress in pipingBeam theoryPipe thickness calculationsSpan calculationsThermal expansion calculationAdditionally you'll find a excel calculation sheet that can help you with these calculations.

In recent years, Graph Neural Network (GNN) has gained increasing popularity in various domains due to its great expressive power and outstanding performance. Graph structures allow us to capture data with complex structures and relationships, and GNN provides us the opportunity to study and model this complex data representation for tasks such as classification, clustering, link prediction, and robust representation. While the first motivation of GNN's roots traces back to 1997, it was only a few years ago (around 2017), that deep learning on graphs started to attract a lot of attention. Since the concept is relatively new, most of the knowledge is learned through conference and journal papers, and when I started learning about GNN, I had difficulty knowing where to start and what to read, as there was no course available to structure the content. Therefore, I took it upon myself to construct this course with the objective of structuring the learning materials and providing a rapid full introductory course for GNN. This course will provide complete introductory materials for learning Graph Neural Network. By finishing this course you get a good understanding of the topic both in theory and practice.This means you will see both math and code.If you want to start learning about Graph Neural Network, This is for you.If you want to be able to implement Graph Neural Network models in PyTorch Geometric, This is for you.

The TEACHERS need to harness the requirements to the best of their abilities and interest further. They need to be dependent on some SMART teaching options available to them in the classroom to make the learning scenario interesting to the kids. This offers a visionary methodology to educate each and every child of the country with specialization in the art of scalability involving people, processes and technology. The focus applicates towards building the innovative capabilities and performance at the institutional level periodically. The module encapsulates the same with priority. The TEACHERS need to harness the requirements to the best of their abilities and interest further. They need to be dependent on some SMART teaching options available to them in the classroom to make the learning scenario interesting to the kids. This offers a visionary methodology to educate each and every child of the country with specialization in the art of scalability involving people, processes and technology. The focus applicates towards building the innovative capabilities and performance at the institutional level periodically. The module encapsulates the same with priority. The TEACHERS need to harness the requirements to the best of their abilities and interest further. They need to be dependent on some SMART teaching options available to them in the classroom to make the learning scenario interesting to the kids. This offers a visionary methodology to educate each and every child of the country with specialization in the art of scalability involving people, processes and technology. The focus applicates towards building the innovative capabilities and performance at the institutional level periodically. The module encapsulates the same with priority.

Course Description Business Statistics course offers clear cut knowledge of descriptive statistics and inferential statistics using MS Excel. Today, as a reseracher or a manager you must know how to convert data into information that may aid in the decision making process. This course put interpretation and decision making with the help of data at the forefront. The prime objective of this course is to demonstrate how to use MS Excel 2007 for statistical anlaysis using step by step method. The following methods of analysis are included: Graphing Techniques Frequency AnalysisNumerical Techniques Mean, Median, Mode AnalysisRange, Standard Deviation, Variance AnalysisSkewness and Kurtosis AnalysisComplete Descriptive Analysis with exampleProbabilityProbability DistributionSampling its DistributionEstimationHypothesis TestingCorrelationRegression This course will be useful for all business professionals, marketing managers, financial analysts, economists, and students doing foundation courses in statistics, perhaps students in their second course or social or business researchers.

Circuit analysis, or solving a circuit, means figuring out voltages and currents in each element.This course starts off covering how to design your DC circuits using MATLAB SIMULINK and compute all required parameters.During this course, you will be able to revise all the principles for direct current analysis and would be skilled in usage of MATLAB Simulink.During the first part of this course, you will get some basics for MATLAB SIMULINK that would be deeply brief and helpful for you. For the next parts, you will revise Ohm's Law and practice many examples.After this, you will revise Kirchhoff laws for both voltage and current and practice different examples.After this, we will revise series resistors equation and voltage division as well as parallel resistors equation and current division. In the next chapter, we will start solve many problems and examples on these concepts.During this course, you will be able to compute and determine the values of the different parameters such as voltage V, current I and power P.We have also included the designed models through this course for your reference. You are definitely able to download them at any time, modify any parameters value and run.

Welcome to our beginner-friendly course, "Conducting Research with AI: A Beginners Comprehensive Guide". In this course, we'll explore how Artificial Intelligence (AI) is transforming the way we conduct research. Designed for those new to the field, we'll learn how AI tools can help gather information, analyze data, and derive insights more efficiently.Throughout the course, we'll cover the basics of AI and its applications in research. You'll discover how AI can streamline tasks like searching for relevant information online and evaluating the credibility of sources. With hands-on exercises, you'll get practical experience using AI tools to enhance your research skills.First of all, you'll understand the components of a research question, the concept of Independent Variable(IV), Dependent Variable(DV), Mediator and Moderator. How to form a research question and use techniques like 5 W's. Basic fundamentals for writing a research question and refining it.By the end of the course, you'll feel confident navigating the world of research with AI by your side. Whether you're a student starting your academic journey or a professional looking to expand your skill set, this course will provide you with the knowledge and tools you need to succeed in your research endeavors. Join us and unlock the power of AI in research today!In addition to practical exercises, our course offers insights into emerging AI trends and their impact on various research fields. Through case studies and real-world examples, participants will gain a deeper understanding of how AI is revolutionizing research methodologies across diverse domains. Join us and embark on a transformative journey into the future of research with AI!