Artificial Intelligence (AI) applications for Civil Engineer

Welcome to the future of teaching!Here are a few quick truths about education today: Teachers are overworked, burnt out and quitting the profession like never beforeArtificial Intelligence such as ChatGPT has well and truly shaken the education worldTeachers are concerned yet intrigued by this new technology! So, do we as teachers fear and reject AI? Or learn to embrace it? Is it the solution to the workload discrepancy? My hope is that this course gives you the knowledge, skills and understanding to make that decision for yourself!Hello and welcome to his introductory online course is specifically designed for teachers who have little to no experience with artificial intelligence and want to learn how to access, use and master ChatGPT to create BETTER teaching resources in LESS time. Throughout the course, we'll be following the 3 P's framework: Plan, Prompt, Produce. ChatGPT is a minefield for the inexperienced and a goldmine for those willing to learn!In the planning phase, you'll learn how to plan for success from the start with 4 tips: role, goal, restrictions and format. In the prompting phase, you'll learn how ChatGPT to start prompts and refine your final product until you are happy. This is where the fun begins and the magic happens!In the producing phase, you'll learn how to use ChatGPT to create useable resources for print or digital use with your favourite tools such as Microsoft Word, Canva, Google Docs and more!Once you've mastered the basics, you'll learn how to create more specific resources such as:Unit plansPowerPointsLesson plansAssessmentsRubric

Basic course informationThe course is designed to familiarize the student with the basic issues of descriptive statistics. Such concepts as quantitative and qualitative data, parameter, measures of position or dispersion, types of distributions and outlier observations will be introduced. The listener will also learn what correlation relationships are and what measures of correlation we distinguish.Who is this course designed for?The course is designed for anyone who wants to refresh information regarding basic statistical issues or is just delving into the topic of statistical analysis.What will you learn?In this course, you will learn what types of data are distinguished in a statistical context, what measures are used to represent basic descriptive characteristics, what are the most common types of distributions, to what attention should be paid, and how to detect and deal with outliers. In addition, you will also learn about correlation measures and their application in practice.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 of the BioStat Research and Development Center.BioStat Research and Development Center is among the commercial scientific institutions with the status of a Research and Development Center (Centrum Badawczo-Rozwojowe, CBR) registered by the Ministry of Entrepreneurship and Technology.

Embark on a comprehensive journey through the world of rotary encoders in this expertly crafted automation course. Whether you're an engineer, technician, PLC programmer, or automation professional, this course provides a deep dive into rotary encoder fundamentals, from their essential role in various motion control applications to the bits and bytes of incremental and absolute encoders such as pulse encoding models and memorizing positions. Explore electronic output circuits, data interface profiles, resolution, precision, and accuracy considerations, and survey the diverse spectrum of encoder products available, from the mechanical aspect such as ring and hollow-shaft encoders to various network interfaces like Profinet and EtherCAT. Gain practical insights into sizing, selection, and best practices for service and maintenance. This course helps you to expand your technical knowledge while entering the world of rotary encoders and motion control. To include a wide range of audiences, it has been designed in such a way that for the most part, a basic understanding of automation and control would be enough.By the end of this course, you'll possess a strong and robust understanding of rotary encoders, empowering you to excel in automation and motion control applications with confidence and become a proficient encoder expert in your field.

This course provides a thorough understanding of the fundamental principles and practical aspects of Design and Operation of Modern Computer Systems. It explores how computer systems are structured and how they execute instructions at various levels of abstraction—from digital logic up to the instruction set architecture. The course focuses on the design and functionality of the hardware components that form the basis of modern computing systems.Topics include number systems and data representation, instruction set design, central processing unit organization, memory hierarchy (cache, Random Access Memory, virtual memory), input/output systems, control unit design, pipelining, parallelism, and an introduction to advanced architectures like Reduced Instruction Set Computer, Complex Instruction Set Computer, superscalar, and multicore systems. With Pipelining, The speed of the controller will get increased. This means that the performance of the controller is improved. If the number of stages in the instruction is increased, the performance will be much better. But at the same time, the complexity of the system will be more. The cache memory will be used to increase the speed with which the data can be accessed. Getting the data from main memory always may degrade the performance of the controller. It is because most of the time is spent in accessing the data. Thus, using cache also automatically improves the performance of the controller system.

In this course you will learn about CFD analysis of ONERA M6 wing. First we will go through problem descriptions and given operating conditions. After that we will discuss about the different aerodynamic coefficients such as lift coefficient and reference conditions. I will also explain that how to calculate reference area, pressure, density etc. from Reynolds number and Mach number. We will then discuss about the experimental data for Cp plots. We will then go through different literature to explore the CD, CL and CM as these are not given in experimental work by AGARD published in 1979. But fortunately NASA has published high quality CFD data for Cp and CL, CD and CM for different solvers and mesh types. Therefore we will use NASA data to compare drag, lift and pitching moment coefficients. After this all discussion we will import mesh into Fluent. Mesh is already created in ICEMCFD hexa in part 2. We will set boundary conditions, operating conditions, material properties, solver type, reference values, report definitions and finally we will initialize solution and run the simulation. Once solution is fully converged, we will extract Cp and aerodynamic coefficients. We will compare them with available data. Finally I will explain method to get Cp plot and import it into excel. Then I will teach you how to non dimensionalize axis and Cp data and plot it in excel. Experimental data for Cp will be plotted in same graph. We will use NASA Cp plot and plot it in same plot to compare our CFD, experimental data from AGARD and CFD data from Fluent. ONERA M6 is a classical test case for CFD validation. Although geometry is simple, but the flow field involves complex flow features such as transonic flow (Mach No. 0.7 - 0.92) with shocks, boundary layer separation etc. The ONERA M6 wing was designed in 1972 by the ONERA Aerodynamics Department as an experimental geometry for studying three-dimensional, high Reynolds number flows. ONERA is

Hello Solar Energy Enthusiast!My goal is to make sure you will enjoy this course! Since you are reading this, it means you are looking for a reliable source of information related to grid-tied solar energy systems: Through this course, I will share with you my extensive knowledge and experience.And lucky you! Through this course you will get a condensed version of all the fundamentals you need to be aware of. I have included several short multiple choice questions, though which you can self-test whether you have absorbed the knowledge adequately throughout the course. And to spice it up, we will also take numerous virtual excursions to websites of manufacturers of different components of your solar system. Through this approach, we makes sure that we bridge the following gaps:We make sure that you get the relevant and unbiased knowledge from an experienced professionalYou have the possibility to test your knowledge and freely browse through the content of the course as per your preferencesWe will bridge the gap between theory real-life examples by reviewing numerous product options which you might come across as you will be shopping for your system componentsI am glad you are interested in this course: It will teach you all the relevant knowledge, without any 'fluff', and includes several brief multiple-choice questions to test your knowledge.I have created this course for you, fueled by my academic background in Renewable Energy Engineering and extensive field experience in the design and installation of PV Energy Systems. You are getting a very good deal: I will summarize for you all that I have learned over the years, and all you have to do is push the button and starting soaking up the information. Lucky you!During this course, we will review and learn about the following topics:The output characteristics of a PV Solar CellThe IV&n