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"Complete Solar Energy Design Course From Zero To Hero"This is the only course out there with everything you need to know about solar energy from A to Z.This course starts with the basic concepts of solar energy to the level you will become a professional in solar energy systems design.Throughout the course, you will learn:The fundamentals of solar energyComponents and design of on-grid and off-grid solar systemsDesign of hybrid PV systemsTypes and selection of solar modulesTypes of charge controllers and their selection techniquesTypes and selection of different solar invertersSelection of suitable tilt angle and shading effect in PV systemsTypes and selection of batteries in solar energy systemsDesign and components of the solar water pumping systemDesign of grounding or earthing systemDesign of single line diagram of the PV system using the AutocadDesign of on and off-grid PV systems using the PVSyst program.Design of protection of PV systemAfter Taking This Course, You Will Be Able ToUnderstand everything about solar energy systems, such as construction and selecting components such as solar panels, charge controllers, inverters, batteries, and busbars.Design different solar energy systems such as off-grid, on-grid, and solar water pumping systems.You will learn how to design protection and earthing system for solar energy systems.You would be able to apply for jobs in the solar energy field as you will have all the knowledge you need to work in the field.Bonus Gift:You will find also the sl

Are you ready to revolutionize the world of agriculture? Join our groundbreaking course, "AI Farming: Unleashing the Future of Agriculture!" and embark on an extraordinary journey into the realm of artificial intelligence and its transformative impact on the agricultural industry.In this comprehensive course, you will gain invaluable insights into the pivotal role of AI in agriculture and discover how it is reshaping the way we grow food. We'll dive deep into the benefits and challenges of AI farming, exploring real-world applications that are revolutionizing crop production, livestock management, and supply chain optimization.Through a series of engaging lectures, you will explore cutting-edge topics such as crop monitoring and disease detection using AI, precision agriculture and smart irrigation systems, AI-enabled crop yield prediction, automation and robotics in agriculture, AI-assisted harvesting and sorting, and much more. Each lecture will provide you with a wealth of knowledge and practical techniques to optimize resource usage, maximize crop yields, and enhance sustainability.But this course is more than just theory. You'll have the opportunity to apply what you've learned through hands-on practice activities, including projects, assignments, coding exercises, and worksheets. Experience firsthand how AI can transform the way we feed the world and contribute to a more sustainable and resilient future.By the end of this course, you'll be equipped with the skills and expertise to navigate the dynamic landscape of AI farming. You'll understand how to leverage AI technologies to optimize farming practices, make data-driven decisions, and address global food challenges. Join a community of passionate learners and industry experts as we revolutionize agriculture together.Don't miss this chance to be at the forefront of the agricultural revolution. Enroll now in "AI Farming: Unleashing the Future of Agriculture!" and let's reshape the future of farming using the power of AI

This course introduces beginning students to the basics of Fortran90/95 programming. Out of necessity, it does not cover all aspects of the language, but enough so that students will be able to write useful codes after completion. The course will be of particular value to those STEM students who would like to learn a language which has stood the test of time, and is widely used in the area of scientific computing. Also useful for those who need to work with legacy Fortran code but have no Fortran background. Previous programming experience would be helpful but is not absolutely necessary. The course assumes some basic ability to use a command-line interface. I will also provide a short introduction to the use of DISLIN, a graphics/widget plotting package that you can implement in your Fortran codes. All Fortran codes used as examples are downloadable, as are the course notes.

Join Matt, a passionate environmental sustainability master's student, and The Ecodemy for an inspiring course on "Sustainability in Spectator Sports." This course delves into the crucial intersection of sports and sustainability, exploring how the sports industry can become a platform for positive change.Throughout the course, you'll discover the potential of sporting events not only to entertain and inspire but also to mitigate climate change and protect the environment. We will delve into the impact of climate change on sports and learn how heavier precipitations, rising sea levels, extreme heat, and more are affecting the world of athletics.Next, we'll explore key considerations in designing sustainable sporting events, including energy-efficient design, renewable energy usage, waste management practices, responsible transportation, water conservation, and local sourcing. Through innovative initiatives, such as LEED-Gold certified stadiums and 100% solar-powered arenas, we'll uncover real-life examples of successful sustainability initiatives in sports.Education and awareness play a crucial role in promoting sustainable behavior. You'll discover how sports organizations can engage fans, encourage eco-friendly practices, and use their broad social platform to influence positive change. Collaborating with environmental agencies and forming partnerships for sustainability will also be discussed.The course will conclude with a call to action, urging you to see the immense potential for positive change in the sports industry. Together, we can create a lasting legacy of sustainability in the world of spectator sports, making a vital contribution to the protection of our planet. Join us on this transformative journey and become a part of the movement to score a victory for our environment.

This course introduces students to the C++ programming language, covering essential concepts, such as Object Oriented Programming, Features of C++, I/O Operations, Data Types, Variables-Static, Constants, Pointers, Type Conversions, Conditional and looping statements, C++ features, Class and Objects, Abstraction and Encapsulation, Access Specifiers, Methods, Constructors, types of constructors, destructor, Inheritance, Types, Single and Multiple Inheritance, Multilevel Inheritance, Hierarchical Inheritance, Hybrid Inheritance, Advanced Functions, Inline, Friend, Virtual, Pure Virtual function, Abstract class, Exception handling. Prerequisites include a basic understanding of programming concepts, while familiarity with another programming language is helpful but not required.Instructional Objectives1. Describe the features of object-oriented programming using C++.2. Understand object-oriented design methodologies for real-time application development. 3. Learn and understand Method overloading and operator overloading.4. Conceptualize Inheritance and its types. 5. Understand and apply Inline, friend and virtual functions and create application development programs. 6. Understand and apply Templates, Exceptional handling and collections for real-time object- oriented programming applications.Reference Books1. Sourav Sahay, Object Oriented Programming with C++, 2nd ed., Oxford University Press, 2017 4. Robert Lafore, Object-Oriented Programming in C++, 4th ed., SAMS Publishing, 20082. Reema Thareja, Object Oriented Programming with C++, 1st ed., Oxford University Press, 20153. Sourav Sahay, Object Oriented Programming with C++, 2nd ed., Oxford University Press, 2017

The Graph Data Structures and Algorithms course provides an in-depth understanding of how graphs are used to represent and solve real-world computational problems. Students will explore the fundamental concepts of graphs, including vertices, edges, degrees, adjacency, and connectivity, and will learn to differentiate between various types of graphs such as directed, undirected, weighted, and unweighted. The course emphasizes practical learning through the implementation of key graph algorithms, including traversal techniques (BFS, DFS), shortest path algorithms (Dijkstra’s, Bellman-Ford, Floyd-Warshall), and optimization algorithms (Prim’s and Kruskal’s for Minimum Spanning Trees). Learners will also study topological sorting, connectivity analysis, and real-world applications in network design, data analysis, and cybersecurity. By the end of the course, students will be able to model complex systems using graphs, select appropriate algorithms for given problems, and analyze their performance in terms of time and space complexity.