4G Mobile Networks - LTE
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Ultimate Electrical Power System Engineering Masterclass
Hi and welcome everyone to our course "Ultimate Electrical Power System Engineering Masterclass"In this course, you are going to learn everything about power system analysis starting from the power system basics and fundamentals of single phase and three phase electric systems moving to designing and modelling different power system components such as: generators, transformers, and transmission lines, ending with a complete power system studies such as load flow studies and power system faults analysis. Thus, this course will be your complete guide in one of the main areas of power engineering: ( power system analysis )The course is structured as follows:Firstly, an overview on the power system structure is illustrated through the following topics:Generation, transmission, distribution, and consumption of electric powerHow to draw a single line diagram (SLD) of any power systemThen, the next topic will be about a review on basic electrical engineering concepts to be a quick refresh for you. The following topics will be covered:Different types of powers in power systemComplex power, power triangle, and power factor definitionspower factor correction Complex power flow in any power systemThen, a complete study of three phase systems is introduced since 99% of practical electric networks are actually three phase systems. Thus, three phase circuits are explained in depth through the following topics:Why we need three phase systems?Three phase supply and load Different 3-ph connections (star-star), (star-delta), (delta-star), (delta-delta) Difference between

Statistical interpretation of Medical Research Results
This course aims to familiarize the learner with the interpretation of statistical measures and methods used in medical publications. It covers topics ranging from simple descriptive characteristics like mean and median to EBM indicators, statistical tests, especially tests of proportion significance, and statistical models (linear and logistic). Each lesson provides practical examples of using these measures and tools in published medical articles.What will you learn?This course aims to familiarize the learner with the interpretation of statistical measures and methods used in medical publications. It covers topics ranging from simple descriptive characteristics like mean and median to EBM indicators, statistical tests, especially tests of proportion significance, and statistical models (linear and logistic). Each lesson provides practical examples of using these measures and tools in published medical articles.Who this course is designed for:This course is intended primarily for individuals who have contact with medical publications, especially:• Professionals involved in clinical research• Publishing doctors• Doctoral students in medical fields• Individuals planning a career related to the interpretation of medical research, such as employees of medical units affiliated with the Polish Academy of Sciences or other laboratories.About usThe course is conducted by Aneta Piechaczek, PhD. Statistician and econometrician. In the years 2017-2021, an employee of the Laboratory of Applications of Mathematics in Economics AGH UST. PhD in the field of Management and Quality Science, developing in her dissertation the issues of more advanced statistical analyses in socio-economic sciences. In 2021, she was nominated for the Didactics Laurel of AGH university. Author and co-author of several scientific publications related to data analysis and statistics. Statistician

Statistics for Non-Statisticians
Mastering Research Design with StatisticsThis course introduces the fundamentals of building research using statistical methods. You will learn how to properly plan studies, determine the correct sample size, and integrate statistical analysis into your research. Additionally, we will guide you through interpreting results to make data-driven conclusions.Who Is This Course For?This course is designed for:Ph.D. students and early-career researchers starting their academic journeyResearch and teaching assistants looking to strengthen their statistical skillsProfessionals taking their first steps in fields involving statistics, such as clinical researchIf you want to develop a solid foundation in research design and statistical analysis, this course will provide you with essential skills.What Will You Learn?You will understand how to design research studies using statistical principles.You will learn how to construct survey questionnaires for accurate data collection.You will develop the ability to interpret statistical analysis results correctly.You will recognize key aspects to consider in statistical modeling and data analysis.By the end of the course, you will have the confidence to apply statistical methods effectively in research.About the InstructorThe course is led by Dr. Aneta Piechaczek, a statistician and econometrician with expertise in advanced statistical analysis. From 2017 to 2021, she worked at the Laboratory of Applications of Mathematics in Economics at AGH UST, specializing in socio-economic research. She holds a Ph.D. in Management and Quality Science and was nominated for the Didactics Laurel of AGH University in 2021. She has authored mul

Master CFD of Savonius Wind Turbine Using ANSYS Fluent
CFD Simulation of a Savonius Wind Turbine Using ANSYS FluentLearn how to build, simulate, and validate a 2D Savonius vertical-axis wind turbine (VAWT) using ANSYS DesignModeler, ANSYS Meshing, and ANSYS Fluent in this hands-on, project-based course.This course guides you through the complete CFD workflow, from geometry creation and meshing to transient simulation, post-processing, and validation with experimental wind tunnel data.What You’ll LearnBasics of renewable energy and Savonius wind turbine operation2D geometry creation in ANSYS DesignModelerQuad meshing with inflation layers and Body of Influence (BoI)Transient simulation using the sliding mesh methodApplication of the k-ω SST turbulence modelTorque and power coefficient calculationPost-processing with contours, streamlines, and animationsValidation of CFD results using experimental data (Blackwell et al., 1977)Why Take This Course?Unlike typical CFD tutorials, this course emphasizes result validation, helping you build confidence in your simulations and apply engineering best practices for rotating machinery and unsteady flows.Who This Course Is ForEngineering students and final-year project studentsCFD learners interested in wind energy and rotating machineryResearchers and professionals seeking a validated CFD case studySoftware UsedANSYS DesignModelerANSYS MeshingANSYS FluentBy the end of this course, you’ll have a complete, validated CFD project suitable for academic work, research, or professional portfolios.</

Artificial Neural Network for Beginners
Artificial Neural Networks (ANNs) are at the core of modern Artificial Intelligence. This beginner-friendly course is designed to introduce you to the concepts, structures, and applications of ANNs without the need for any programming knowledge. Using intuitive explanations, real-world examples, and clear visualizations, you’ll learn how artificial neurons work, how networks are trained, and where they’re applied in today’s world.By the end of this course, you’ll have a solid understanding of how neural networks function and the confidence to explore more advanced AI and deep learning topics.What you’ll learnUnderstand the fundamentals of Artificial Neural Networks (ANNs).Learn how biological neurons inspire artificial networks.Explore key ANN architectures and learning mechanisms.Build intuition to move toward machine learning and AI topics.Who this course is for:Beginners with no programming background.Students wanting to understand ANN concepts clearly.Non-technical learners interested in AI and machine learning.Professionals seeking AI knowledge without coding complexity.Course CurriculumSection 1: Introduction to Neural NetworksBiological vs. Artificial NeuronsReal-world applicationsSection 2: Fundamentals of Artificial NeuronsStructure of a neuronActivation functionsSimple examplesSection 3: Architecture of Neural NetworksSingle-layer and multi-layer perceptron'sForward propagationSection 4: Learning in Neural NetworksTraining and loss functionsGradient descent backpropagation (conceptual)

LEARN OET WRITING WITH SAMPLE PAPERS (COURSE 3/7)
THIRD COURSE IN MY 7-PART OET EXAM-SERIES.LEARN OET WITH OET-CERTIFIED INSTRUCTOR HERE.ARE YOU PREPARING FOR THE OET AND FEELING OVERWHELMED BY THE FORMAT, TIME PRESSURE, OR CLINICAL ENGLISH REQUIREMENTS? OUR OET PREPARATION COURSES ARE DESIGNED TO MAKE YOUR JOURNEY EASIER, SMARTER, AND MORE EFFECTIVE. AS A DEDICATED TRAINER, I BREAK DOWN EACH PART OF THE OET — LISTENING, READING, WRITING, AND SPEAKING — INTO SIMPLE, MANAGEABLE STEPS, USING PRACTICAL TIPS, PROVEN TRICKS, AND FOCUSED STRATEGIES THAT WORK IN REAL EXAM CONDITIONS. MORE THAN JUST TEACHING THE TEST, I GUIDE YOU THROUGH THE COMMON CHALLENGES STUDENTS FACE AND SHOW YOU EXACTLY HOW TO OVERCOME THEM WITH CONFIDENCE.I AM OFFERING SEVEN CAREFULLY DESIGNED OET COURSES THAT CATER TO DIFFERENT STUDENT NEEDS — SOME TARGETING INDIVIDUAL SUBSETS LIKE LISTENING, READING, WRITING, OR SPEAKING, AND OTHERS COMBINING 2 OR MORE SUBSETS FOR COMPLETE PREPARATION. THIS FLEXIBLE COURSE STRUCTURE ALLOWS STUDENTS TO CHOOSE EXACTLY WHAT THEY NEED BASED ON THEIR CURRENT LEVEL, SPECIFIC WEAKNESSES, OR SCORE REQUIREMENTS. WHETHER YOU NEED FULL PREPARATION OR JUST HELP WITH A PARTICULAR SUBSET, YOU CAN SELECT A COURSE THAT FITS BOTH YOUR GOALS AND YOUR BUDGET. EACH COURSE IS PRACTICAL, AFFORDABLE, AND DESIGNED TO MAXIMIZE RESULTS IN MINIMAL TIME.
