Online courses directory (19947)

Educators have an ever-increasing stream of data at their fingertips, but knowing how to use this data to improve learning and teaching — how to make it less overwhelming, more useful, and part of an effective collaborative process — can be challenging.
 
Based on the book Data Wise: A Step-by-Step Guide to Using Assessment Results to Improve Teaching and Learning, this course describes a clear, 8-step process for using a wide range of data sources to improve instruction. You will see what this disciplined way of working with colleagues can look and feel like in a school setting. You will also have the opportunity to share insights and experiences about school improvement with educators from around the world.
 
In this course, you will:

• Understand what the Data Wise Improvement Process is and how it can help you improve teaching and learning.
• Build skills in looking at a wide range of data sources, including test scores, student work, and teaching practice.
• Identify next steps in supporting a culture of collaborative data inquiry in your setting.

Introduction to Data Wise is open to all, but is especially valuable for teachers and school and district leaders, as well as policymakers, and educational entrepreneurs who are dedicated to improving outcomes for students. There are several ways you could take this course:

• Participate on your own.
• Enroll with a few colleagues as part of a study group.
• Formally integrate it into professional development in your workplace.

It is a self-paced course. You can go through the essential materials in a day or take several weeks to allow for reflection. There will be one month of active course facilitation, which will include discussion board moderation, office hours, and other live events.
 
This course provides an introduction to a rich portfolio of books, resources, training, and support developed by the Data Wise Project at the Harvard Graduate School of Education. The Data Wise Project works in partnership with teachers and school and system leaders to develop and field-test resources that support collaborative school improvement. We encourage you to explore these resources as you chart a course for using data to improve learning and teaching for all students.
 

HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. HarvardX will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the HarvardX course; revocation of any certificates received for the HarvardX course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations. Enrollees who are taking HarvardX courses as part of another program will also be governed by the academic policies of those programs.

HarvardX pursues the science of learning. By registering as an online learner in an HX course, you will also participate in research about learning. Read our research statement to learn more.

Harvard University and HarvardX are committed to maintaining a safe and healthy educational and work environment in which no member of the community is excluded from participation in, denied the benefits of, or subjected to discrimination or harassment in our program. All members of the HarvardX community are expected to abide by Harvard policies on nondiscrimination, including sexual harassment, and the edX Terms of Service. If you have any questions or concerns, please contact harvardx@harvard.edu and/or report your experience through the edX contact form.

Learn to tell time with some fun exercises!. Telling time exercise example 1. Telling time exercise example 2. Telling time exercise example 1. Telling time exercise example 2.

Learn how a mother is able to nourish a baby through breastfeeding. Breast Anatomy. Breastfeeding - Letdown Reflex. Breast Anatomy. Breastfeeding - Letdown Reflex.

Learn how asthma causes breathing difficulties in adults and children. Breathing Basics. Asthma. Breathing Basics. Asthma.

Find out what helps you grow and how we can measure growth. Basics of Metabolism. Digesting Food. Growth Curves. Cycle of Malnutrition. Basics of Metabolism. Digesting Food. Growth Curves. Cycle of Malnutrition.

This economics and finance course surveys developments in the area of prudential risk regulation with particular emphasis on stress testing as the primary tool of regulation. This course will explain the motivations for changes to the BIS capital accords from Basel I to Basel III.

Upon completion of this course, participants will receive a certificate bearing the New York Institute of Finance (NYIF) name. A NYIF certificate is a valuable addition to your credentials, proving that you have acquired the work-ready skills that employer’s value.

For those who wish to go further, students can enroll in the other four modules to earn the complete Risk Management Professional Certificate, backed by the New York Institute of Finance’s 93-year history. As a final option, students may also opt to sit for the NYIF Certificate of Mastery Exam, resulting in the Risk Management Certificate of Mastery upon successful completion.

Want to create the next big app, grounded in the needs of real users? This course will teach you Human Computer Interaction (HCI) methods to better understand current behavior in a domain, and then design, develop, and deploy your own application.

This module will take you from an application idea through the creation of a paper prototype and a usability evaluation to validate initial usability of your concept. 

Completion of Mobile Application Experiences Part 1 is not required. You can begin this module with an idea you have had on your own.

This course is part of a five-part Mobile Application Experiences series:

• 21W.789.1x: Mobile Application Experiences Part 1: From a Domain to an App Idea
• 21W.789.2x: Mobile Application Experiences Part 2: Mobile App Design
• 21W.789.3x: Mobile Application Experiences Part 3: Building Mobile Apps
• 21W.789.4x: Mobile Application Experiences Part 4: Understanding Use
• 21W.789.5x: Mobile Application Experiences Part 5: Reporting Research Findings

This test preparation course, developed by the experts who create, administer and score the TOEFL test, will help English language learners improve their skills.

The TOEFL test is the world’s most trusted and widely accepted English-language assessment. It has helped millions of people achieve their dreams to study, work or live abroad. More than 10,000 institutions of higher education, government agencies and organizations worldwide accept TOEFL scores for making important decisions.

This course will help you understand what you can do to achieve your best TOEFL test score. Instructors will guide you through each section (Reading, Listening, Speaking and Writing) and, using archived past test questions, will explain the kinds of questions you can expect. You will receive valuable advice, including how to register for the test, how it is scored and how to prepare for test day.

This course is highly interactive, using videos, sample questions with explanations, short quizzes and collaborative discussion boards. You will also have access to real test materials from past tests. During the weeks covering Speaking and Writing, all course participants can receive scores for their practice-test responses.

In addition, there will be free resources and discounted test prep offers throughout the course. Finally, you will receive valuable insider tips to help you do your best on the TOEFL test so you can apply to the university or job of your dreams.

Who takes the TOEFL test? More than 30 million people from all over the world have taken the TOEFL test to demonstrate their English-language proficiency.

• Students planning to study at an institution or university
• Candidates for scholarships and professional certification
• English-language learners who want to track their progress
• Students and workers applying for visas in certain countries

Let's think more visually about things like shifts, rotations, scaling and symmetry. Axis of symmetry. Translations of polygons. Determining a translation for a shape. Rotation of polygons example. Axis of symmetry. Translations of polygons. Determining a translation for a shape. Rotation of polygons example.

Solve problems using Mathematics, Computer Science and more!. Introduction. The Discovery. Clue #1. Clue #2. Clue #3. Crypto Checkpoint 1. Clue #4. Checkpoint. Crypto Checkpoint 2. Crypto Checkpoint 3. What's Next?. Introduction. The Discovery. Clue #1. Clue #2. Clue #3. Crypto Checkpoint 1. Clue #4. Checkpoint. Crypto Checkpoint 2. Crypto Checkpoint 3. What's Next?.

What makes living (and nonliving) things tick?. Homeostasis. Bread Mold Kills Bacteria. Glaciers With Chocolate. Rock Cycle. Homeostasis. Bread Mold Kills Bacteria. Glaciers With Chocolate. Rock Cycle.

Comment définir et comprendre la notion d’espace? Comment l’urbanisation, la mobilité, Internet et la mondialisation ont-ils influencé notre perception du temps et de l’espace? Ce cours a pour objectif de définir la notion d’espace en apportant des clés de lecture pour comprendre les sociétés qui nous entourent.

À la fois théorique et pratique, ce cours privilégie les compétences sur les « contenus » factuels et valorise une approche par l’intelligence collective. Ce cours propose de saisir la notion d’espace à partir de vos expériences quotidiennes, de vos perceptions et de vos pratiques.

Dans EspaceX, nous explorons ensemble la ville, l’urbanisation, l’urbanité, et l’urbanisme, l’acteur individuel au sein d’un Monde mondialisé, les spatialités numériques, le couple espace-temps et la relation complexe entre les sociétés et les mondes bio-physiques. Une large part sera accordée à la cartographie. À l’issue de ce cours, vous serez capable non seulement de lire, mais aussi de dessiner vos propres cartes. Enfin, les problématiques de l’agir spatial et de la justice spatiale seront abordées. Un(e) specialiste reconnu(e) interviendra à chacune des 9 séances sous la forme d’un entretien filmé mettant en lumière la relation de ce chercheur à l’espace.

This computer science course from Microsoft provides learners with the knowledge and skills required to design, implement, and load a relational data warehouse. In this four week course, you’ll learn how to analyze business requirements, design dimension and fact tables, index and partition the data for performance, and create ETL solutions for ongoing loading of the warehouse.

This course is taught with short-form lectures, demonstrations, and interviews with industry experts. Quizzes and hands-on labs, using Microsoft SQL Server 2016 and Azure SQL Database, will help to reinforce your knowledge, practice skills, and solve problems.

Note: To complete the hands-on elements in this course, you will require an Azure subscription and a Windows, Linux, or Mac OS X client computer. You can sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services). Note that the free trial is not available in all regions. It is possible to complete the course and earn a certificate without completing the hands-on practices.

This course is presented in French, with English subtitles.

Ce cours traite des systèmes alternatifs triphasés, piliers de l'alimentation électrique industrielle et de certains types de machines électriques. Les charges triphasées associées, symétriques ou dissymétriques, seront étudiées ainsi que les puissances actives, réactives et apparentes qui en découlent. Des méthodes de compensation de la puissance réactive seront développées.

Ce cours traite également des régimes transitoires, induits par les enclenchements, déclenchements ou pannes de circuits sur leur source, qu'elle soit continue ou alternative. L'importance de l'étude des régimes transitoires réside dans le fait qu'ils sont la base du fonctionnement d'appareils que l'on retrouve dans de nombreuses applications modernes comme la distribution d'énergie, les entraînements électriques, la recharge de batteries, les alimentations à découpage ou encore de l'éclairage.

Acerca de este curso

El curso aborda un tema que se mantiene vigente en la antropología de la música y la sociología de la cultura: la amplia gama de relaciones que se dan entre los hechos musicales y los grupos humanos que toman parte en ellas. Las discusiones al respecto se han planteado en distintos campos y disciplinas del conocimiento interesadas en la dimensión sonora de la cultura como los estudios en comunicación, la musicología, la antropología y la psicología.

A través de este curso viajaras por el pacifico y lograras interpretar a partir de elementos conceptuales y metodológicos de la antropología simbólica, prácticas musicales del pacifico colombiano asociadas a la espiritualidad, el Territorio y la Política.

Disfruta de este viaje y contribuye al desarrollo de nuevas maneras de comprender y trabajar en favor de la diversidad cultural característica de Colombia, en particular en las maneras que superen algunas de las dificultades del actual modelo multi culturalista. 

Mouse Interaction. mouseIsPressed. keyIsPressed. keyCode.

Watch fun, educational videos on all sorts of Materials, how they're created and what they can do. Whats all the matter? Atoms and Molecules. What is Soap?. Flocculation: Making Clean Water. Manufacturing Processes: Hands On to Hands Off. Whats all the matter? Atoms and Molecules. What is Soap?. Flocculation: Making Clean Water. Manufacturing Processes: Hands On to Hands Off.

课程介绍视频也可以访问中国网站

点击上方绿色按钮报名。

计算机是现代社会中用于解决问题的重要工具。利用计算机解决实际问题需要将问题抽象，并对数据进行操作，最后通过计算机程序求解问题。而本门课程主要内容就是对以上内容进行研究。

图灵奖获得者N.Wirth写了一本经典著作“程序=算法+数据结构”。数据结构，是抽象的表示数据的方式；算法，则是计算的一系列有效、通用的步骤。算法与数据结构是程序设计中相辅相成的两个方面。

我 们会围绕着“算法+数据结构=程序”的思路，以问题求解为导向进行学习。希望能够帮助大家提高理论、抽象、设计的能力。在扎实的经典理论基础上，运用问题 抽象、数据抽象、算法抽象来分析问题，应用适当的数据结构和算法来设计和实现相应的程序。通过课程学习，大家的抽象思维能力、问题求解能力将得到较大提 升，编程能力和代码质量会有质的飞跃！

在求解实际问题方面，我们会学习到通过权衡时空和其他资源开销，利用数据结构来组织数据、设计高效的算法、完成高质量的程序以满足错综复杂的实际应用需要。

此外，课程所学到的内容会被利用到计算机科学后续的各个课程中，如操作系统、软件工程、数据库概论、编译技术、计算机图形学、人机交互等。希望可以为大家将来从事计算机相关的学习、研究和开发工作打下扎实的基础。

本课程采用张铭主编的国家“十一五”规划教材《数据结构与算法》（高等教育出版社）。适合计算机以及相关理工专业的大二本科生学习，需要先修过计算概论等课程，具有结构化和面向对象的程序设计基础。

课程主要包括的内容有：线性表，栈与队列，字符串，二叉树，树，图，排序（内排序，外排序），检索，索引，高级数据结构、以及数据结构应用。课程持续16周（分为两个session，每个8周），学习者每周在本课程上需要投入4－8小时。

本课程的本次开设得到Google研究经费支持。

Computers are an important tool for problem solving and are deeply involved in modern life. Computers perform operations on data. What is the logical relationship among data? How is data stored in computers? What algorithms are required to solve particular problems? These are the questions that will be answered in “Data Structures and Algorithms,” an important core course in Computer Science. The course also introduces students to fundamental data structures and classical algorithms used in more specialized courses, including Operating Systems, Software Engineering, Database Systems, Compiler Principles, Computer Graphics and Human Computer Interaction.

Niklaus Wirth described the important and indivisible link between algorithms and data structure in his book, Algorithms + Data Structures = Programs.

The course will build on Wirth’s ideas as it helps students improve their knowledge of theory and their ability to think abstractly to solve problems. Building on a solid theoretical foundation, students will analyze problems using data and algorithm abstraction. Students will learn how to organize data efficiently and make tradeoffs between space and time complexity, design efficient and effective algorithms, and implement high quality programs to solve complex real-world problems. After studying this course, students will be well prepared for further study and research in engineering and other computer-related areas.

This is an intermediate-level course appropriate for sophomore students majoring in computer science or other science/engineering disciplines. Students should have learned "introduction to computing", with the knowledge of structured and object-oriented programming.

This course is presented in two eight-week sessions.

Students who score 60% or higher will receive an Honor Code Certificate.

The Autumn 2014 Sessions of this course are supported by Google.

课程采用的算法语言? Which programming languages does the course use?

本课程采用基于C++的伪代码授课和出习题。编程作业是POJ自动评判的，该平台目前接受 C、C++、Java等都可以。

The course’s content and exercises are both based upon C++ pseudo code. Programming assignments are automatically assessed by POJ which accepts code written in C/C++ and JAVA.