Fundamental Questions on Arduino

Fundamental engineering for civil it very important step for passing fundamental engineering exam so you can have a real exam experience as the Udemy exam summation put you in the same circumstances which will make you confident to enter and pass the real exam Hope you will enjoy the journey

Since the late 1980s, the widely popular and efficient geographic information system (GIS) has facilitated the development of new machine learning, data-driven, and empirical methods that reduce generalization errors. In the this course, i have shared a famous and solid bivariate technique (Frequency ratio), to help you start your first prediction map using ArcMap and Excel only.UPDATES March 2019: Course full data was uploaded with Section 2. I will explain the spatial correlation between; prediction factors, and the dependent factor. Also, how to find the autocorrelations between; the prediction factors, by considering their prediction importance or contribution. Finally, I will Produce susceptibility map using; Microsoft Excel and ESRI ArcGIS only. Model prediction validation will be measured by most common statistical method of Area under the curve (AUC).

Linear programming is a widely used optimization tool in various applications (data science, engineering, transportation, supply chain, etc.). Linear programming also makes the basic foundation behind complex optimization tools like Mixed Integer Linear Programming (MILP) and Column generation. In this course, we will study the basic theoretical concepts related to linear programming. The course is organized as follows. In the first section, we will introduce linear programming, and we will explore the convexity and types of optimalities. Then, in the second section, we will build up on the basics to learn ways to solve the linear program using the simplex method. We will then explore the concept of linear programming duality. We will also go through some of the hardest-to-understand concepts like strong duality, complementary slackness, and Farkas' lemma. Furthermore, we try to understand these concepts in an easy-to-follow way. This allows one to obtain lower bounds on the minimization problem and provide proof of optimality or Infeasibility. In the last section, we will explore how to perform sensitivity analysis (the effects of changing parts of a linear program). At the end of each section, there are assignments to help you evaluate your knowledge.As you would have noticed, this course doesn't explore modeling optimization problems as a linear program much. That is a separate topic and deserves an entire course on it. A background in basic linear algebra is needed to understand the proofs. In case you face trouble with any of the lectures or assignments, feel free to reach out to me. I am always eager to help students. You can also schedule office hours from my website once a week (first come, first served) to clear your doubts.

Taught 3000+ students offline and now extending the course and experience to online students like you.Winners don't do different things, they do things differently. Training, quizzes, and practical steps you can follow - this is one of the most comprehensive Statisticscourses available. We'll cover Probability, Advance concept of Inferential statistics, Hypothesis Testing, Correlation Analysis, Regression Analysis, Modelling, Ch- Squared Test, ANOVA, Business Forecasting, and many more. This will help one in his/her research projects to finish confidently.You'll Also Get:- Downloadable workout Notes for competitive exams and future reference purpose- Lifetime Access to course updates- Fast Friendly Support in the Q A section- If you are a student or preparing for the competitive exam you may opt for education notes/ handouts-Udemy Certificate of Completion Ready for Download

This course not just a tutorial on software Robot but it is a complete understanding about structural design analysis, how civil engineer must begin with the project, how he/she must think, how we can determine the dimension of the element before modeling them check it in the software. In this course we will a "Hangar" steel structure with all steel structural element Rafters; Columns; Truss; Top Chord; Bottom Chord; Internal elements; Rail Sides; Beams; Wind Columns; Wind Beams; Bracing; Beam connection; Column connection; Purlins.In this course you will learn how to choose the best section of each type of steel structural element using in the Hangar.You will show how to model the Cladding for the structureYou will show how to design the Hangar structure using American Code AISCYou will learn how to design steel structure "Hangar" under lateral loads "wind loads"In this course we will show the different standard steel sections I Section (HP, M, S, W); C-Shape; Angle Sections; and Pipes sections we will show how we can model and using these different structural steel sections how you define them and design + check the capacity of these sectionsThe dimensions and properties for structural sections commonly used in steel building structure design and construction are given in this course in addition to all design consideration and proper material availability and specification according the AISC code.

Wind energy is one of the most prominent sources of renewable energy. According to 2019 international renewable energy agency report, wind power created 3.18 million jobs from 2012 to 2018 and it is the fast-growing industry.Wind Energy is the most mature and developed renewable energy. It generates electricity through wind, by using the kinetic of wind. It is a source of clean and renewable energy, which reduces the emission of greenhouse effect gases and preserves the environment. This course gives an overview of key aspects of wind energy engineering. Whether you are looking for general insight into this green technology or your ambition is to pursue a career in wind energy engineering, 'Wind Energy' is an excellent starting point.You will gain a rational understanding of wind energy engineering, you will learn to perform wind energy calculations based on simple models. Working with the different course disciplines will give you a taste of what wind energy engineering is all about? This allows you to identify the most interesting or relevant aspects of wind energy engineering to be pursued in your future studies or in your professional career.Followings are the course contents.Module 1. Introduction to Renewable Energy.Module 2. Advantages and disadvantages of Wind Energy.Module 3. History, Wind Energy extraction techniquesModule 4. Wind Power Physics.Module 5. Wind Energy Yield assessment.Module 6. Wind Turbine components.Module 7. Wind Yaw system.Module 8. Pitch System of Wind Turbines.Module 9. The Layout of a Windfarm. Module 10. Careers in Wind Industry.