ASME B31.3 for a Pipe Stress Engineer

Do path analysis, test model fit, measure indirect effects, recognize and classify mediation types, recognize sources of bias in your estimates, perform confirmatory factor analysis, assess validity (construct, convergent and discriminant), combine path analysis with confirmatory factor analysis to build "full" structural equation models (that is path analysis with latent variables).

This BOOTCAMP will show you how to model and simulate common industrial Chemical Processes. It is focused on the "BOOTCAMP" idea, in which you will learn via workshops and case studies, minimizing theory to maximize learning.You will learn about:Better Flowsheet manipulation and techniquesUnderstand Property Method Selection and its effects on simulation results More than 15 Unit Operations that can be used in any IndustryModel Analysis Tools required for process designReporting Relevant Results Plot relevant dataAnalysis Optimization of Chemical PlantsAt the end of this Bootcamp, you will be able to model more industrial processes, feel confident when modeling new proceses as well as applying what you have learnt to other industries.

1. This Course is for Students having background in any stream and willing to learn Coding.2. This Course is exclusively made from Beginners point of view.3. If you have any experience in any Coding Language prior to this then you can have a look.4. If you want to learn building Programming Sense and Logic.5. This is a Problem Solving Course.6. This Course will be covering only Python Language.7. Solutions of Each Problem will be in Detail, some Question dealt in more than one Hour for better Understanding(For Example:- Alphabet Rangoli, Calendar Problem).8. You will be able to learn different topics with the help of Python.9. You will be able to handle any Problem in Different Programming Languages after finishing this Course.Python is one of the most popular programming languages in the world – Huge companies use it in there Critical Projects.Q:- Will the course teach me Data Science, Machine Learning and Artificial Intelligence?A:- No, All of these topics are branches of Python programming, and they require separate Attention all together.With over 3+ Years of Experience and a 4.0 Instructor Rating in Udemy, I am Coming Up with purely problem Solving Course of more than 33+ Hours of Problem Solving called HackerRank Python (Complete 115 Solutions) [33+ Hours].The curriculum was developed over a period of 1 year.If you are satisfied in any way, Check out my other Courses as well.So what are you waiting for? Click the buy now button and join me on this Wonderful course.

In this course, you will learn the design modeling and simulation concepts of different renewable energy systems such as PV Cells, Wind turbines, etc. You will also learn different MPPT algorithms to obtain the maximum power from these sources. Several other control algorithms based on PID, Fuzzy control and Artificial Neural Network (ANN) have also been discussed in this course. Simulation of Grid integration and grid-connected renewable systems have also been included in this course to provide the complete usage of renewable energy systems. All the simulations are done on MATLAB/SIMULINK Environment.Some highlights1. Well explained theoretical concepts.2. More understanding of the workings of real systems.3. ANN design, training and Simulation4. Modeling techniques of real systems5. Simulink modeling of renewable energy systems.6. Designing and Analysis of different system parametersWhat you’ll learnMPPT algorithmsLQR and Fuzzy controlDesign of solar convertersML and ANN based controller designP O Algorithm and SimulationGrid-connected renewable energy designHybrid modeling (Solar + Wind)Renewable source + Battery based system modelingWho this course is for:1) If you want to learn modeling of renewable energy systems, then you should take this course.2) If you are an engineering graduate in renewable energy, then you must take this course.3) If you are a Ph.D. research scholar, then you must take this course.4) If you are a control engineer and want to learn more about designing and simulation of renewable energy systems, then you should take this course.

Moodle merupakan aplikasi Elearning open source yang paling populer di dunia. Di Indonesia pun mungkin 80%-90% lembaga pendidikan menggunakan ini untuk dijadikan sebagai LMS institusinya.Kursus ini akan mempelajari implementasi LMS Moodle dengan sebuah platform bernama Moodlenesia yang memungkinkan kita membuat situs Moodle tanpa harus menyiapkan server dan settingan yang diperlukannya. Sehingga, kita bisa fokus pada desain pembelajaran yang akan dilaksanakan dibandingkan masalah setup dan optimasi server.

Foundations of Data Analysis is a comprehensive introductory course designed to equip learners with essential knowledge and practical skills in the field of data analysis. This course guides you through the core concepts, processes, and tools necessary to understand and analyze data effectively.The journey begins with defining what data and data analysis are, highlighting their growing importance across industries. Learners explore various types of data analysis, step-by-step processes, and commonly used analytical tools. The course then delves into understanding the nature of data, domains of knowledge required for analysis, and the wide scope of applications.Participants will develop foundational technical skills through lessons on basic computational operations, including arithmetic, logical, and matrix operations, followed by increment/decrement operators and universal functions used in data processing. The course also covers advanced operations like aggregation, indexing, slicing, and iteration—key techniques for efficient data manipulation.Data preparation is another crucial component, where students learn to handle various data file formats and apply preprocessing techniques, including outlier detection and filtering. Finally, the course emphasizes the power of data visualization, teaching how to interpret and create line charts, bar charts, histograms, pie charts, contour plots, and polar charts.Quizzes reinforce learning throughout, making this a practical and interactive introduction to the fundamentals of data analysis.