Pre-Algebra: A Complete Middle School/High School Curriculum

The Project Management Institute (PMI)® launched the PMI Agile Certified Practitioner (PMI-ACP)® Agile Certification in 2011. This designation was built with the same rigors as the rest of the PMI certification family to provide comparable credibility for professionals who practice Agile methodologies in their organizations and during their projectsThe PMI-ACP formally recognizes your knowledge of agile principles & your skill with agile techniques. The PMI-ACP spans many approaches to agile such as Scrum, Kanban, Lean, extreme programming (XP), and test-driven development (TDD). In this powerful course, you'll gain and understand the concepts, principles, and methods of Agile development and become empowered to execute your plans for incorporating Agile practices and techniques into your organization.The Project Management Institute's Agile Certified Practitioner (PMI-ACP) certification clearly illustrates to colleagues, organizations, or even potential employers that you're ready and able to lead in this new age of product development, management, and delivery. This PMI-ACP exam prep training prepares you to lead your next Agile project effort and ensures that you're prepared to pass the PMI-ACP certification exam.This course provides a proven combination of class learning and testing that prepares students for some of the most difficult testing situations. Questions are designed to allow you to learn through practice so that you will be able to apply what you have known for the exam.Course OutlinesIntroduction- Why Agile Project Management- Project Management Industry Trends- Value of this PMI-ACP training- What Is An Agile Project Manager- PMI-ACP Eligibility & Requirements- PMI Exam Overview & Contents- Exam DomainsDomain 1 : Agile Principles & Mindset<

This course is a complete basic guide to Abaqus software, which is designed for students, engineers, researchers... to be able to use the software from zero level to simulate physical problems in a simple and practical way. It does not matter if you have no experience in Finite Elements or Abaqus, you will be also capable of understanding everything and you will finish the course with deep knowledge of the subject.After several years working as an Industrial Engineer, I have realized that mastering the Finite Elements to solve physical problems today is something very necessary in engineering and its demand is really high. In addition, this demand is highly increasing. Knowing how to solve out this type of simulation can give you many job opportunities and many economic benefits.And as if that were not enough, solving these simulations in Abaqus will offer you even more advantages, because it is a very complete software that offers you a multitude of physical modules for simulation, such as structural, heat transfer, fluid analysis... For this reason, in just a few years it has become one of the leaders in the sector and one of the programs most required by companies in the figure of the engineer.The big problem has always been the complexity to learn that it entails, because its understanding is not easy. In this course I try to facilitate this entire learning and improvement process, and you will be able to simulate and understand your own physical problems in a short time, thanks to the step-by-step and detailed explanation of complete mechanical, structural, non-linear and heat transfer problems so that you can check how each element affects the result. In summary, the problems you are going to carry out are ideal for understanding the general operation of the software and mastering the essential Abaqus tools in an advanced way.In other words, what I pretend is to contribute my help and teach you all those things that I would ha

Course Description:This course offers an integrated exploration of careers in Science, Technology, Engineering, and Mathematics (STEM), with a focus on two high-impact domains—Data Science and Engineering. It equips learners with a solid understanding of foundational STEM principles, applied technologies, problem-solving skills, and ethical considerations. Through hands-on projects, case studies, and industry insights, students will learn how to navigate emerging opportunities, use modern tools, and prepare for professional success in today’s tech-driven world.In a world driven by innovation, STEM careers are at the forefront of shaping industries, solving global challenges, and driving technological progress. This comprehensive career-oriented course bridges two of the most influential STEM disciplines—Data Science and Engineering—to provide learners with a competitive advantage in the job market and the skills to succeed in the 21st century.The course takes you on a journey through core scientific principles, modern computational tools, and engineering problem-solving methodologies, while also deep-diving into data analysis, machine learning, and big data applications. It’s not just about theory—learners will engage in hands-on projects, real-world case studies, and interactive labs to apply their knowledge in practical contexts.From understanding how a mechanical design comes to life, to predicting data-driven business decisions, to building sustainable and ethical solutions for society, this program integrates technical expertise, analytical thinking, and creative problem-solving.By blending career exploration with technical mastery, the course also provides personal

The course “Generative AI for Electrical Engineers and Professionals” is a comprehensive program designed to empower electrical engineers with the skills to integrate Generative AI into core engineering workflows. As the engineering landscape embraces digital transformation, professionals are increasingly expected to bridge the gap between system design and intelligent automation. This course begins with a foundational introduction to Generative AI, highlighting how transformer-based models like ChatGPT, Gemini, Claude, and Copilot can generate content such as circuit diagrams, embedded code, simulation models, and technical documentation. The relevance of Generative AI across electrical engineering domains—from power systems and smart grids to embedded systems and control logic—is discussed in-depth, providing practical entry points for engineers to begin leveraging AI in daily tasks.Learners will explore the differences between instructional and analytical prompts, and apply zero-shot, one-shot, and few-shot techniques for precise outputs in electrical contexts. Through prompt chaining, students will automate multi-step tasks like creating SPICE schematics or simulating power flows. The course offers hands-on practice with reusable prompt templates designed for transformer winding optimization, PCB layout suggestions, and embedded programming (Arduino, STM32). Other lectures cover generating circuit descriptions, control logic for PID and state machines, and power system simulations. Participants will also auto-generate MATLAB/Simulink models, FEM-based electromagnetic narratives, and real-world scenarios for testing and diagnostics.In addition, the course emphasizes Generative AI's value in literature reviews, technical writing, experiment documentation, and presentation generation. It concludes with access to 1000+ expertly crafted prompts tailored to engineering domains, enabling learners to integrate AI into reporting, analysis, design, and automation seaml

In today’s engineering curriculum, topics on probability and statistics play a major role, as the statistical methods are very helpful in analyzing the data and interpreting the results.When an aspiring engineering student takes up a project or research work, statistical methods become very handy.Hence, the use of a well-structured course on probability and statistics in the curriculum will help students understand the concept in depth, in addition to preparing for examinations such as for regular courses or entry-level exams for postgraduate courses.In order to cater the needs of the engineering students, content of this course, are well designed. In this course, all the sections are well organized and presented in an order as the contents progress from basics to higher level of statistics.As a result, this course is, in fact, student friendly, as I have tried to explain all the concepts with suitable examples before solving problems.This 150+ lecture course includes video explanations of everything from Random Variables, Probability Distribution, Statistical Averages, Correlation, Regression, Characteristic Function, Moment Generating Function and Bounds on Probability, and it includes more than 90+ examples (with detailed solutions) to help you test your understanding along the way. "Master Complete Statistics For Computer Science - I" is organized into the following sections:IntroductionDiscrete Random VariablesContinuous Random VariablesCumulative Distribution FunctionSpecial DistributionTwo - Dimensional Random VariablesRandom VectorsFunction of One Random VariableOne Function of Two Random VariablesTwo Functions of Two Random Variables Measures of Central TendencyMathematical Expectations and MomentsMeasures of DispersionSkewness and Kurtosis

If you or teenagers you know are studying Computer Science and want to master fundamental concepts and achieve top scores in the exams, this is the course for you! Designed specifically for international school students, home schoolers, and independent students studying IGCSE Computer Science, GCSE Computer Science, or High School Computer Science, this course will provide you with everything you need to know to understand the fundamentals of how AI, robots, and automated systems work, along with databases, one of the most widely used tools in computer science.This course is intended to guide learners through a high-school level (IGCSE, IB Diploma, or similar) curriculum. It is intended to be purchased by adults over 18 years old, either for their own fundamental learning, or to be then given to a younger person to use. According to Udemy's regulations, "Those under 18 may use the services only if a parent or guardian opens their account, handles any enrollments, and manages their account usage." If you are under 18, I encourage you to take this course but to let your parent or legal guardian manage the enrollment and payment.In this course, you will be able to:Review the Computer Science syllabus in a logical and organized mannerGain a deep understanding of each topic through clear explanations and illustrative images and videosReinforce your knowledge with interactive quizzes and exercisesKeep track of your learning with helpful study guidesGet instant feedback on your progress and identify areas you need to work on.This course includes:Video lessons covering these important topics of Computer ScienceQuizzes and exercises to reinforce your understanding