Design Concepts of Solar PV System in reference to NEC 690

In this basic structural engineering online course, users will learn all the fundamentals of civil structural analysis, such as forces, loads, structural members, shear forces, bending moments, and trusses.The following topics will be available for students to learn,The Forces and loads on a structureTypes of structures in constructionAll structural elements: Column, footing, beam, and slab.Theory of Stress, Strain, and their relationshipYoung's Modulus or Modulus of ElasticityShear force and bending moment diagram and examplesTypes of Loading and Support Reactions.Calculations of reactions of different types of the beam.Learn Truss and their types.A Fundamental structural engineering course or Structural Analysis is the best course to learn from the ground up about structural engineering. This includes structural analysis, design, and complete knowledge of structural engineering.Students learning structural engineering for the first time will experience some key topics in this structural analysis course. The course focuses on the topics that students often find the most challenging to learn when they are just getting started.Furthermore, I have studied how our models of structural behavior translate into the real world and also addressed the link between theory and practice. The best structural or civil engineers know the limits of their models. Therefore, we'll be emphasizing the difference between model prediction and the real-world behavior of structures in this course.

this course will take you from start to be perfect in using total station in surveying field so you will take from component of the device then to fixe the tripod as the total station it self also how to use the total stationstep by step until to collect points from the site by making aproject , then taking this points to autoucad and get it back to total station and setting it out in the site .

Welcome to the transformative journey of "Advanced Excel Techniques | Conquer Excel On A High Level." This comprehensive course is designed to propel your Excel proficiency to new heights by delving into intricate functionalities and expert strategies.Unlock the full potential of Excel as you explore advanced functions, formulas, and techniques tailored for high-level data analysis. Navigate the world of data visualization by creating dynamic dashboards that captivate and communicate insights effectively.With a focus on productivity, you'll master the art of automation through macros and Visual Basic for Applications (VBA), streamlining repetitive tasks and boosting efficiency. Dive into sophisticated data analysis tools, such as PivotTables and Power Query, to unravel patterns and extract valuable insights from complex datasets.Financial modeling takes center stage as you learn to construct intricate models for budgeting, forecasting, and decision-making. Seamlessly merge and analyze large datasets from diverse sources, sharpening your skills in handling real-world scenarios.Optimize Excel performance by understanding formula efficiency, file management, and resource utilization. Elevate your presentations with advanced charting techniques, transforming data into compelling visual stories.Collaborative prowess is honed through data sharing and protection features, ensuring secure and seamless teamwork. Strengthen problem-solving abilities by tackling intricate challenges rooted in real-world contexts.Whether you're an analyst, manager, or aspiring Excel expert, this course equips you for success. By journey's end, you'll be prepared to tackle certification exams with confidence, armed with expertise that extends far beyond the basics. Join us in conquering Excel on a high level and elevate your data manipulation and analysis skills to unparalleled heights.

This course takes you from basic statistics and linear regression into more advanced concepts, such as multivariate regression, anovas, logistic and time analyses. It offers extensive examples of application in R and complete guidance of statistical validity, as required for in academic papers or while working as a statistician. Statistical models need to fulfill many requirements and need to pass several tests, and these make up an important part of the lectures. This course shows you how to understand, interpret, perform and validate most common regressions, from theory and concept to finished (gradable) paper/report by guiding you through all mandatory steps and associated tests.Taught by a university lecturer in Econometrics and Math, with several international statistical journal publications and a Ph.D. in Economics, you are offered the best route to success, either in academia or in the business world.The course contents focus on theory, data and analysis, while triangulating important theorems and tests of validity into ensuring robust results and reproducible analyses. Start learning today for a brighter future!

This course is your introduction to the world of optimization techniques. If you know Matlab or pythons and want to learn how to find the best solution for any problem then this course is for you.In this course, we will start with an introduction to the world of optimization then we will take the Breadth First Search and Depth First Search which are very important for path planning. Then we will dive into Simulated Annealing, the genetic algorithm, Particle Swarm Optimization and Ant Colony Optimization. After understanding them all we will see how to use them on Matlab. This is all done with quizzes after each two lectures to test your understanding for each topic and at the end of the course you will get an exam to test how much you understood the course and whether you can use these optimization techniques to solve any problem.The course is important for anyone who wants to learn optimization and how to find the best solution for any problem. Optimization is very important for some artificial intelligence applications and in autonomous systems so this course will open lots of doors for you in the future. The course is divided into 10 lectures 1) Introduction where you will get to know more about optimization and its different types2) Deterministic techniques which are BFS and DFS3) SA4) GA5) PSO6) ACO7) Matlab for SA8) Matlab for GA9) Matlab for ACO10) Matlab for PSO11) final Exam of 25 questions

One of the most fundamental courses for electrical engineering students, specially communication and control engineering majors, is of course signals and systems. This course is all about basics of what signals and systems are, and how they are characterized and how can one deal with them systematically.After the general introduction to basics and definitions of signals and systems in chapter 1 and 2, gradually starts to build up the powerful tools of manipulating signals mathematically, tools like Fourier series and transform, and Laplace and Z-transform. There is also a very interesting chapter about sampling and modulation, chapter 5, which talks about how can one basically take samples from a continuous signal and prepare it for transmission, via modulation.