First steps in data analysis with R

This course teaches the foundational material of statistics covered in an introductory college course, with a focus on mastering hypothesis testing for proportions, means, and categorical data.The course includes:10 hours of video lectures, using the innovative lightboard technology to deliver face-to-face lecturesSupplementary lecture notes with each lesson covering important vocabulary, examples and explanations from the video lessons19 quizzes to check your understanding9 assignments with solutions to practice what you have learnedYou will learn about:Common terminology to describe different types of data and learn about commonly used graphsBasic probability, including the concept of a random variable, probability mass functions, cumulative distribution functions, and the binomial distributionWhat is the normal distribution, why it is so important, and how to use z-scores and z-tables to compute probabilitiesType I errors, alpha, critical values, and p-valuesHow to conduct hypothesis tests for one and two proportions using a z-testHow to conduct hypothesis tests for one and two means using a t-testConfidence Intervals for proportions and means, and the connection between hypothesis testing and confidence intervalsHow to conduct a chi-square goodness-of-fit testHow to conduct a chi-square test of homogeneity and independence.An introduction to correlation and simple linear regressionThis course is ideal for many types of students:Anyone who wants to learn the foundations of statistics and understand concepts like p-values and confidence intervalsStudents taking an introductory college or high school statistics class who would like further explanations and detailed examplesData science pro

DescriptionIn RAHEE 414 we’ll Focus on applying formulas to Telecommunications Networks then we Analyze their characteristics and behaviors. It includes Design and analysis of Telecommunications Networks. Number of examples have been solved to make you understand them better.This course provides an introduction to the principles techniques of design, implementation, and analysis of communication networks which is the key technology for the modern ICT systems. Each topic will have many examples which goes over them briefly with different parts. By end of each chapter there will be a quiz for you to test your understanding of that specific chapter.Topics include basis of voice, video, data and internet communications. network topologies, architecture. By end of the course, you should be able to :1. Understand basic and some advanced concepts and techniques of telecommunications networks.2. Develop problem solving approaches as applied in telecommunications networking areas.3. Able to analyze performance of basic communication networks using both analytical and simulation techniques.4. Understand telecommunication network design techniques and practical implementation issues.5.Understand the basic properties of internet and telecommunications traffic properties.This course is mostly for academic level Engineering students in different universities around the world.InstructorThe instructor of this course is Mehrad Nahouri. He has an Associates in Electrical Engineering concentration on digital field and is a lecturer at Rahsoft.Pre-Requisite:Probability Theory and StatisticsWhat is the target audience?This course is for students working in Telecommunications field.Undergraduate studentsElectrical EngineerGraduate students taking Telecommuni

Are you looking to learn Revit and become an expert in BIM (Building Information Modeling)?Do you want to gain a competitive edge in your career by learning advanced modeling techniques?Divided into small, easy-to-follow parts, this project-based training will guide you through the BIM process and teach you all the essential drawing and editing tools in Autodesk Revit. You'll learn how to define floors, draw walls and ceilings, and check technical connections, insulations, and details. You'll also discover advanced techniques for modeling different types of stairs, curtain walls, partitions, and roofs, as well as steel and concrete structures.But this course is not just about tools and instructions - it's also about sharing real-world experiences and solutions to common problems. You'll learn tricks and shortcuts that will give you a competitive advantage in your career, and you'll have the confidence to take on any project or challenge.Here are just some of the topics covered in this course:The BIM process and its importanceDefining floors and drawing walls and ceilingsModeling different types of stairs and rampsDesigning curtain walls, partitions, and roofsModeling steel and concrete structures, trusses, braces, and rebarsIntegrating disciplines of structure, architecture, and MEPTopography and landscapingCreating special objects and furnitureAnnotation, tagging, and groupingView templates, stair and wet area layouts, and conditional writingModeling complex shells and facades

In this comprehensive course, participants will delve into the dynamic simulation capabilities of Aspen HYSYS, transforming steady-state models into dynamic representations for various unit operations. The course covers essential topics including:Dynamic Solver and Pressure-Flow Solver: Understand the fundamentals of dynamic solvers and how they interact with pressure-flow relationships in process systems.Pressure Nodes and Resistance Equations: Learn to implement pressure nodes effectively and apply resistance equations to simulate complex flow dynamics.Dynamic Assistant: Utilize the dynamic assistant tool to streamline your modeling process and enhance simulation accuracy.Participants will explore the dynamic modeling of key unit operations, including: Pipe Segments, Valves, Mixers, Two-Phase and Three-Phase Separators, Coolers/Heaters, Pumps, Heat Exchangers, Distillation Columns, Compressors, etc.Additionally, the course will provide insights into equipment sizing, ensuring that participants can effectively size various components within Aspen HYSYS.The curriculum also includes an introduction to PID controllers and the use of strip charts for process control, enabling participants to monitor and adjust dynamic simulations with precision.By the end of this course, participants will have gained hands-on experience and the necessary skills to create, analyze, and optimize dynamic models in Aspen HYSYS, preparing them for real-world applications in process engineering. Join us to elevate your simulation capabilities and enhance your understanding of dynamic process operations!

In today’s fast-paced digital era, capturing and maintaining student engagement requires more than static text and traditional slide decks. The Certificate Course in Canva for Education is a definitive, end-to-end masterclass engineered specifically for modern educators who want to revolutionize their pedagogical approach through powerful visual design and seamless technology integration.Spanning seven meticulously structured modules, this comprehensive course bridges the gap between creative design and classroom management. You will start by mastering the fundamentals of the Canva interface and learning how to build clean, accessible, and structured layouts using grids. From there, you will rapidly transition into developing high-impact educational assets, moving from standard templates to highly customized, animated presentations, dynamic worksheets, and captivating scrollable graphics.What truly sets this course apart is its deep dive into advanced and future-proof teaching workflows. You will explore Canva’s cutting-edge, AI-powered ecosystem—including Magic Design, Dream Lab, and Magic Media—allowing you to generate tailored educational graphics and gamified assets in a fraction of the time. Furthermore, the course places a massive emphasis on classroom utility, teaching you how to run interactive Q A sessions using Canva Live, leverage collaborative whiteboards, execute bulk designs, and manage student submissions. Finally, you will learn how to seamlessly embed Canva into your existing infrastructure, linking it directly with Google Classroom and prominent Learning Management Systems (LMS). By the end of this training, you will not just be using a design tool; you will be piloting a complete multimedia, AI-driven educational hub that elevates student outcomes and drastically reduces your administrative workload.

This course provides a comprehensive understanding of Software-Defined Networking (SDN) — a transformative approach that separates the control and data planes to enable centralized, programmable, and automated network management. It begins with an Introduction to SDN, exploring the motivation behind the shift from traditional networking to software-driven control, emphasizing flexibility, scalability, and innovation.Students will then learn about the Forerunners of SDN, including pioneering concepts such as Active Networks, RCP, 4D Project, and Ethane, which laid the foundation for modern programmable networks. The Working Principles of SDN section delves into SDN architecture, its layered design, communication interfaces, and the role of abstractions in simplifying network operations.The course further explores SDN Controllers such as ONOS, OpenDaylight, and Ryu, explaining their architecture, functions, and role in centralized network intelligence. A dedicated module on the OpenFlow Protocol introduces the standard southbound interface that enables communication between controllers and switches, detailing flow tables, matching fields, and actions.The concept of the Triad of Modern Networking—comprising SDN, Network Function Virtualization (NFV), and Cloud Computing—is presented to illustrate how these technologies collectively drive next-generation networks. Finally, the course highlights real-world SDN Use Cases across data centers, 5G, IoT, WAN optimization, and network slicing.Through hands-on tools like Mininet, students will gain practical insights into designing, simulating, and managing programmable networks, preparing them for careers in advanced networking and network automation.