Computer motherboard repairing crash course for beginners

This course contains the use of artificial intelligence.Artificial intelligence is becoming a permanent part of education—but many teachers are being asked to figure it out on their own, with little guidance, limited time, and real concerns about student data, academic integrity, and workload. This course was created to bridge that gap.AI for Educators is a practical, classroom-focused course designed to help teachers use AI responsibly, ethically, and effectively—without replacing professional judgment or increasing stress. Instead of focusing on abstract theory or complex technology, this course shows you exactly how AI can support the work you already do every day: planning lessons, differentiating instruction, grading student work, communicating with families, managing classrooms, and staying organized week after week.You’ll start by learning how to use AI safely in school environments, including FERPA considerations, transparency best practices, and how to set clear expectations with students. From there, you’ll move into hands-on strategies for turning standards into lesson plans, generating units and assessments, creating differentiated materials for diverse learners, and building classroom resources faster than ever before.This course places a strong emphasis on real teaching workflows. You’ll see narrated demos that walk through common teacher tasks—creating IEP-friendly supports, generating quizzes and rubrics, drafting professional emails, building newsletters, and organizing weekly plans—using AI tools in ways that save time and reduce mental overload. The goal isn’t to automate teaching, but to remove low-value, repetitive work so you can focus on instruction, relationships, and student growth.You’ll also explore how AI can support special education, ESL/EAL learners, and differentiated instruction through modified texts, scaffolds, visual supports, and multi-level materials. Throughout the course, you’ll learn how to adapt AI ou

New Drug Application (NDA) and Abbreviated New Drug Application (ANDA) submissions contain in-vivo (bioavailability or bioequivalence data) and in-vitro dissolution data.In-vivo and in-vitro dissolution data, together with chemistry, manufacturing, and controls (CMC) data, are so important to characterize the quality and performance of the drug product.In-vitro dissolution methods are developed to evaluate the in-vivo bioperformance of solid oral dosage forms.In-vitro dissolution methods are quality control tests to ensure the consistency of product manufacturing and the bioperformance of solid oral dosage forms.Dissolution test is the simulation of in-vivo conditions in the in-vitro environment.Dissolution test is so important control tool because it is used for evaluating of in-vivo performance of drug product without any in-vivo performance.Dissolution test is developed and performed in laboratory conditions (in-vitro conditions). Dissolution test is kind of simulation in lab conditions. Dissolution test is usefull to foresee the performance of drug products in biological environment (in-vivo conditions).In the scope of course all technical details and requirements of dissolution analysis have been discussed.IN-VITRO STUDIES FOR SOLID ORAL DOSAGE FORMS IN PHARMA 1 Introduction 2 In-vitro In-vivo Studies for Drug Product 2.1. Reference Listed Drug (RLD) Generic Drug 2.2. Drug Development 2.3. In-vitro In-vivo Performance of Drug Product 3 Solubility 3.1. Solubility of Drug Product 3.2. Solubility Dissolution 4 Dissolution Dissolution Selectivity

Learn a new language faster (and with way more confidence) by using AI as your always-available practice partner, coach, and tutor.In this course, you’ll get a complete, repeatable system for learning any language with AI. Instead of relying on generic prompts or one-size-fits-all apps, you’ll learn how to combine today’s best AI tools into a practical workflow that gives you personalized practice, real-time feedback, and materials tailored to your level and interests 24/7.Built from my experience speaking 4 languages and spending years exploring the intersection of AI and language learning, this course goes beyond “basic ChatGPT prompts” and shows you how to set up an AI-powered learning routine that actually sticks.What you’ll do in the courseYou’ll learn a step-by-step system that covers the skills that matter most:Use my AI workflow to get speaking and reading practice with clear grammar feedback, so you can improve without feeling stuck or judgedGet tutor-like coaching for pronunciation and writing using the best AI tools available, so you sound more natural and write with confidenceGenerate learning material with NotebookLM to improve listening, expand vocabulary, and study content that matches your goalsWhat this course isn’tThis course is not about grammar rulesThis is not a “how to use ChatGPT” classThis course is a complete system for language learning designed to help you practice more, improve faster, and stay consistent.If you’re ready to stop struggling with traditional methods and start using AI the smart way, join now and unlock the future of language learning.

Hi and welcome everyone to our course "Ultimate Electrical Power System Engineering Masterclass"In this course, you are going to learn everything about power system analysis starting from the power system basics and fundamentals of single phase and three phase electric systems moving to designing and modelling different power system components such as: generators, transformers, and transmission lines, ending with a complete power system studies such as load flow studies and power system faults analysis. Thus, this course will be your complete guide in one of the main areas of power engineering: ( power system analysis )The course is structured as follows:Firstly, an overview on the power system structure is illustrated through the following topics:Generation, transmission, distribution, and consumption of electric powerHow to draw a single line diagram (SLD) of any power systemThen, the next topic will be about a review on basic electrical engineering concepts to be a quick refresh for you. The following topics will be covered:Different types of powers in power systemComplex power, power triangle, and power factor definitionspower factor correction Complex power flow in any power systemThen, a complete study of three phase systems is introduced since 99% of practical electric networks are actually three phase systems. Thus, three phase circuits are explained in depth through the following topics:Why we need three phase systems?Three phase supply and load Different 3-ph connections (star-star), (star-delta), (delta-star), (delta-delta) Difference between

This course aims to familiarize the learner with the interpretation of statistical measures and methods used in medical publications. It covers topics ranging from simple descriptive characteristics like mean and median to EBM indicators, statistical tests, especially tests of proportion significance, and statistical models (linear and logistic). Each lesson provides practical examples of using these measures and tools in published medical articles.What will you learn?This course aims to familiarize the learner with the interpretation of statistical measures and methods used in medical publications. It covers topics ranging from simple descriptive characteristics like mean and median to EBM indicators, statistical tests, especially tests of proportion significance, and statistical models (linear and logistic). Each lesson provides practical examples of using these measures and tools in published medical articles.Who this course is designed for:This course is intended primarily for individuals who have contact with medical publications, especially:• Professionals involved in clinical research• Publishing doctors• Doctoral students in medical fields• Individuals planning a career related to the interpretation of medical research, such as employees of medical units affiliated with the Polish Academy of Sciences or other laboratories.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

Mastering Research Design with StatisticsThis course introduces the fundamentals of building research using statistical methods. You will learn how to properly plan studies, determine the correct sample size, and integrate statistical analysis into your research. Additionally, we will guide you through interpreting results to make data-driven conclusions.Who Is This Course For?This course is designed for:Ph.D. students and early-career researchers starting their academic journeyResearch and teaching assistants looking to strengthen their statistical skillsProfessionals taking their first steps in fields involving statistics, such as clinical researchIf you want to develop a solid foundation in research design and statistical analysis, this course will provide you with essential skills.What Will You Learn?You will understand how to design research studies using statistical principles.You will learn how to construct survey questionnaires for accurate data collection.You will develop the ability to interpret statistical analysis results correctly.You will recognize key aspects to consider in statistical modeling and data analysis.By the end of the course, you will have the confidence to apply statistical methods effectively in research.About the InstructorThe course is led by Dr. Aneta Piechaczek, a statistician and econometrician with expertise in advanced statistical analysis. From 2017 to 2021, she worked at the Laboratory of Applications of Mathematics in Economics at AGH UST, specializing in socio-economic research. She holds a Ph.D. in Management and Quality Science and was nominated for the Didactics Laurel of AGH University in 2021. She has authored mul