Online courses directory (1728)

What impact can art and the humanities have on patient care? Can art enhance medical caregivers’ powers of observation and humanize their interactions with patients? Through presence alone, can caregivers heal what they cannot cure?

In Artful Medicine: Art’s Power to Enrich Patient Care, we will explore the meaning of medical professionalism, techniques for a humanistic approach to caregiving, and the positive impact of humanism on clinical outcomes.

By looking closely at works of art that portray empathy in human interaction, caregivers can discover their common humanity with patients. Caregivers can also hone observation skills that help paint a portrait of a patient as a person and not a collection of symptoms, lab tests, and scans. Through presence at the patient’s side, unmediated by technology, a caregiver can make the patient feel cared for in addition to being treated.

One needn’t be a caregiver to benefit from this course—though all of us have probably been cared for at some point and can therefore easily relate to the importance of a humanistic approach to caregiving. Anyone interested in how art can be used to enhance observational and empathic skills will find this application to medical humanism fascinating.

We will:

• Explore elements of professionalism and humanism, why they are critical to patient care, and how they are threatened by technology that increasingly distances caregivers from patients;
• Analyze art for form, narrative, and technique;
• Practice techniques used by art educators to enhance observation and improve diagnostic skills;
• Examine works of art for the professional behaviors they exemplify;
• Apply techniques to patient care that will help humanize interactions, so caregivers can refocus their attention on patients and families and enhance their understanding of behaviors critical to healing; and
• Identify with both the caregiver’s and the patient’s points of view.

This MOOC is inspired by residential seminar taught by Dr. Schiffman at Brown University's Warren Alpert School of Medicine under the name The Doc's HeArt: Reflecting on Professional Values Through Art, and is especially relevant for healthcare professionals who are interested in differentiating themselves in their given or prospective field.

The field of learning games is rapidly growing, with interest from academics, publishers, schools and startups. But what makes a good learning game? Where do ideas come from and how do you create them? These are the questions that this course tries to answer.

The premise of learning games from some perspectives seems like a perfect and easy solution - get people to learn things they don’t want to by motivating them through game play. To others it seems like an oxymoron - if learning is hard then it can’t possibly be fun at the same time. The key to designing good learning games is to reconcile these perspectives by creating games that focus on creating environments based on “hard fun.” This idea will be a central tenet of this course.

Through six units comprising nine weeks, we will look at the evolution of educational video games and hear from experts working on many aspects of learning games from design to development to implementation. For the course project, participants will create their own learning game. This course utilizes Gameblox, a game editor that uses a block based programming language to allow anyone to create games.

This course is part of the Microsoft Professional Program Certificate in Big Data and the Microsoft Professional Program Certificate in Data Science.

Are you ready for big data science? In this course, learn how to implement predictive analytics solutions for big data using Apache Spark in Microsoft Azure HDInsight. See how to work with Scala or Python to cleanse and transform data and build machine learning models with Spark ML (the machine learning library in Spark),

Note: To complete the hands-on elements in this course, you will require an Azure subscription and a Windows 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.

This course is also part of the Microsoft Azure HDInsight Big Data Analyst XSeries.

Have you ever imagined what is deep under the ground? What is happening deep inside the earth? How has the earth evolved into its present state? This course is an introduction to earth science, focusing on the deep earth. We will learn how temperature and chemical compositions inside the Earth are inferred from limited observations combined with laboratory experiments. We will also explore the fate of water on the early Earth related to advanced research questions. Upon finishing this course, you will learn how scientists interpret the unknown and use the scientific method to address immeasurable research challenges.

No specific knowledge is needed. Join this course and let’s imagine the inside of the Earth together.

Urban school reform in the United States is characterized by contentious, politicized debate. This course explores a set of critical issues in the education and educational reform space, with a focus on aspects of the field that have sparked controversy and polarized views. We will dig into these debates, situating them within the larger history of public education and school reform, and considering the viewpoints, the evidence, and translation of issues into educational policy.
 
The class is designed with multiple student perspectives in mind with appropriate content and access points for policymakers, school leaders, teachers and parents or other concerned citizens. No background knowledge is required.
 
We will consider three themes in this course:

1. Federal Strategies in School Reform: How has the federal government legislated and incented public school reform? What are the implications of those approaches given the nature of local control in American public education? We will discuss three particular strategies the federal government has enacted recently and the diverging perspectives on them.
2. School Choice: How does school choice aim to improve schools? What forms does it take? Does providing school choice improve schools?
3. Accountability: What is the history of accountability in American public schooling? What are the policies and practices associated with accountability and what are the assumptions behind them? Does accountability lead to improved outcomes for students?

Principles of Electric Circuits (20220214x) is one of the kernel courses in the broad EECS subjects. Almost all the required courses in EECS are based on the concepts learned in this course, so it’s the gateway to a qualified EECS engineer.

The main content of this course contains linear and nonlinear resistive circuits, time domain analysis of the dynamic circuits, and the steady state analysis of the dynamic circuits with sinusoidal excitations. Important concepts, e.g. filters, resonance, quiescent point, etc., cutting-edge elements, e.g. MOSFETs and Op Amps, etc., systematic analyzing tools, e.g. node method and phasor method, etc., and real-world engineering applications, e.g. square wave generator and pulse power supply for railgun, etc., will be discussed in depth.

In order to facilitate the learning for students with middle school level, we prepare the necessary knowledge for calculus and linear algebra in week 0. With your effort, we can show you the fantastic view of electricity.

电路原理课程是电类各专业最重要的一门学科基础课，后续各专业基础课和专业课都建立在这门课程的知识体系之上，因此是电类专业本科生的“看家 课”之一。电路原理课程的主要内容包括：线性电阻电路分析、非线性电阻电路分析、动态电路的时域分析和正弦激励下动态电路的稳态分析4大部分。清华大学电 路原理课程的教学包括电路分析基本方法、当代电路元器件、电路原理的实际工程应用等，为学生提供了扎实的基础和丰富的应用。

为方便至只有中学知识的学生学习，电路原理MOOC专门利用第0周准备必要的微积分、线性代数和大学物理电学的基础。我们有信心：你能领悟电世界的奇妙。    

¿Quieres ser capaz de valorar de forma analítica a Cristiano Ronaldo o a Fernando Torres usando el Proceso Analítico Jerárquico (AHP), método empleado a nivel mundial para la valoración de todo tipo de activos?

El mundo del deporte mueve miles de millones de euros, muchos de los cuales se invierten en los traspasos de deportistas entre equipos. La valoración de futbolistas es tema complejo en el que influyen muchas variables con relaciones complejas.

En el curso aprenderás a utilizar herramientas que permiten seleccionar de una forma objetiva el mejor jugador para una posición dada o estimar el valor del traspaso de un jugador utilizando las cantidades pagadas por jugadores similares en operaciones recientes.

El contenido del curso es el siguiente:

Unidad 1: El mundo del deporte y la valoración
Unidad 2: El proceso analítico jerárquico (AHP)
Unidad 3: Aplicación de AHP a la valoración de deportistas
Unidad 4: Ejemplos

Este curso está actualmente en modo autónomo o “self-paced”. ¿Qué significa esto? Que puedes empezarlo cuando quieras y seguirlo a tu ritmo ya que no hay fecha prevista de cierre y cada 6-8 semanas se generarán certificados a aquellos que lo hayan superado. Por otro lado los profesores participarán algo menos en los foros, seguirás teniendo soporte por su parte pero es posible que tarde algo más en contestar tus dudas.

This course is taught in Spanish with English subtitles.

In this course, we will introduce you to edX Studio, edX’s course-authoring tool. This course is ideal for course authors and course teams interested in uncovering the nuts and bolts of building an edX course. We will cover everything you need to know to successfully create your first course on the edX platform, including:

• The basics of course set-up
• Adding course content, including videos, assessments, and interactive components
• Configuring course settings and optimizing the course experience for learners

Through engaging activities and hands-on learning, this course will walk you through the course development process directly in Studio.

Important note: Access to an updated version of the edX platform is required to complete this course. If you are a member of one of edX’s partner institutions and are interested in creating a course with edX, please reach out to your institutional leadership or contact your edX Program Manager.

In this course you’ll learn various statistics topics including multiple testing problem, error rates, error rate controlling procedures, false discovery rates, q-values and exploratory data analysis. We then introduce statistical modeling and how it is applied to high-throughput data. In particular, we will discuss parametric distributions, including binomial, exponential, and gamma, and describe maximum likelihood estimation. We provide several examples of how these concepts are applied in next generation sequencing and microarray data. Finally, we will discuss hierarchical models and empirical bayes along with some examples of how these are used in practice. We provide R programming examples in a way that will help make the connection between concepts and implementation.

Given the diversity in educational background of our students we have divided the series into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts.

These courses make up 2 XSeries and are self-paced:

PH525.1x: Statistics and R for the Life Sciences

PH525.2x: Introduction to Linear Models and Matrix Algebra

PH525.3x: Statistical Inference and Modeling for High-throughput Experiments

PH525.4x: High-Dimensional Data Analysis

PH525.5x: Introduction to Bioconductor: annotation and analysis of genomes and genomic assays 

PH525.6x: High-performance computing for reproducible genomics

PH525.7x: Case studies in functional genomics

This is the third part of an introductory business information systems series, designed to help you pass the CLEP Information Systems and Computer Applications exam and introduce you to the amazing world of Information Technology.

In this course, you will learn the basic concepts of information systems and their application.

Chinese archaeology is one of the fastest-growing and most exciting fields of study in China. With a wealth of cultural relics unearthed this past century, the world’s fascination with China’s rich history has been renewed. This course will examine the unique cultural relics identified by scholars as important to Chinese civilization. We will focus on the fields of agriculture, astronomy, music, metallurgy, textiles, architecture, painted pottery, jade articles, bronze ware, shipbuilding and acupuncture. We will ignite your curiosity as we explore how these treasures reveal China’s past, and guide the future of Chinese culture.

考古学在中国是发展最快且最令人兴奋的研究领域之一。在上个世纪，中国凭借丰富的文物出土，让世界在此沉迷在其悠久的历史之中。本课程将探讨被学者认定为对中国文明有着重要意义的独特文物。我们将专注于农业、天文、音乐、冶金、纺织、建筑、彩陶、玉器、青铜器、造船和针灸等领域。通过探索这些珍品是如何揭示中国的过去，并引导中国文化的未来，我们将点燃你的好奇心。

FAQ

I don’t speak Chinese, can I learn the course? 

Only the spoken language is Chinese. All the other materials are in English. There are many ways of learning this wonderful course for learners without Chinese background.

• Use the English subtitles, which are provided with the video player of the course webpage.
• Download the mp4 files and subtitles and use your favorite video player to watch the video.
• Download the dubbing mp3 files. When playing the video in the course webpage, turn off the volume in the video player of the course webpage and play the mp3 files with your favorite player at the same time with proper volume. The dubbing mp3 files are synchronized with the mp4 files. It’s almost the same feeling watching a foreign movie with the English dubbing.

Data structures play a central role in computer science and are the cornerstones of efficient algorithms. Knowledge in this area has been at the kernel of related curriculums. This course aims at exploring the principles and methods in the design and implementation of various data structures and providing students with main tools and skills for algorithm design and performance analysis. Topics covered by this course range from fundamental data structures to recent research results.

数据结构是计算机科学的关键内容，也是构建高效算法的必要基础。其覆盖的知识，在相关专业的课程体系中始终处于核心位置。本课程旨在围绕各类数据结构的设计与实现，揭示其中的规律原理与方法技巧；同时针对算法设计及其性能分析，使学生了解并掌握主要的套路与手法。讲授的主题从基础的数据结构，一直延伸至新近的研究成果。

This course is presented in Mandarin.

FAQ

In what language will this course be offered?

Mandarin.

Will the text of the lectures be available?

Yes. All of our lectures will have transcripts synced to the videos.

Do I need to watch the lectures live?

No. You can watch the lectures at your leisure.

Will certificates be awarded?

Yes. Online learners who achieve a passing grade in a course can earn a certificate of  mastery. These certificates will indicate you have successfully completed the course, but will not include a specific grade. Certificates will be issued by edX under the name of DelftX, designating the institution from which the course originated.

Can I contact the Instructor or Teaching Assistants?

Yes, but not directly. The discussion forums are the appropriate venue for questions about the course. The instructors will monitor the discussion forums and try to respond to the most important questions; in many cases response from other students and peers will be adequate and faster.

Is this course related to a campus course at Tsinghua?

Yes. This course corresponds to the campus courses 00240074 (elective for undergraduates of all majors) and 30240184 (required for CS undergraduates), both named Data Structures.

What is the textbook of the course?

Junhui DENG, Data Structures in C++, Sep. 2013, 3rd edn., Tsinghua University Press, ISBN: 7-302-33064-6. (in Chinese)

What is the grading breakdown?

60% - 12 problem sets

40% - 4 programming assignments

Global Warming Science teaches you about the risks and uncertainties of future climate change by examining the science behind the earth’s climate. You will be able to answer such questions as, “What is the Greenhouse Effect?” and “How and why has earth’s climate changed through geologic history?”

This science course is designed for college sophomores and juniors with some preparation in college-level calculus and physics. 

In recent years, flying robots such as miniature helicopters or quadrotors have received a large gain in popularity. Potential applications range from aerial filming over remote visual inspection of industrial sites to automatic 3D reconstruction of buildings. Navigating a quadrotor manually requires a skilled pilot and constant concentration. Therefore, there is a strong scientific interest to develop solutions that enable quadrotors to fly autonomously and without constant human supervision. This is a challenging research problem because the payload of a quadrotor is uttermost constrained and so both the quality of the onboard sensors and the available computing power is strongly limited. 

In this course, we will introduce the basic concepts for autonomous navigation for quadrotors. The following topics will be covered:

• 3D geometry,
• probabilistic state estimation,
• visual odometry, SLAM, 3D mapping,
• linear control.

In particular, you will learn how to infer the position of the quadrotor from its sensor readings and how to navigate it along a trajectory.

The course consists of a series of weekly lecture videos that we be interleaved by interactive quizzes and hands-on programming tasks. For the flight experiments, we provide a browser-based quadrotor simulator which requires the students to write small code snippets in Python.

This course is intended for undergraduate and graduate students in computer science, electrical engineering or mechanical engineering. This course has been offered by TUM for the first time in summer term 2014 on EdX with more than 20.000 registered students of which 1400 passed examination. The MOOC is based on the previous TUM lecture “Visual Navigation for Flying Robots” which received the TUM TeachInf best lecture award in 2012 and 2013.

FAQ

Do I need to buy a textbook?

No, all required materials will be provided within the courseware. However, if you are interested, we recommend the following additional materials:

1. This course is based on the TUM lecture Visual Navigation for Flying Robots. The course website contains lecture videos (from last year), additional exercises and the full syllabus: http://vision.in.tum.de/teaching/ss2013/visnav2013
2. Probabilistic Robotics. Sebastian Thrun, Wolfram Burgard and Dieter Fox. MIT Press, 2005.
3. Computer Vision: Algorithms and Applications. Richard Szeliski. Springer, 2010.

Do I need to build/own a quadrotor?

No, we provide a web-based quadrotor simulator that will allow you to test your solutions in simulation. However, we took special care that the code you will be writing will be compatible with a real Parrot Ardrone quadrotor. So if you happen to have a Parrot Ardrone quadrotor, we encourage you to try out your solutions for real.

In this interdisciplinary course you will learn about the water-related dimensions of environmentally sustainable urbanism. The course features Vancouver, one of the world's leading cities for green design.

Each week, you’ll watch lectures plus a compelling documentary-style video featuring architects, planners, artists, engineers, and academics that have created real-world innovations which link water and sustainability in the built environment. You’ll meet the inspiring founder of the Center for Interactive Research on Sustainability (one of the greenest buildings in North America); visit North America’s largest urban wastewater-to-energy plant; learn from architects designing urban waterscapes as ‘landscape infrastructure’ along Vancouver’s revitalized waterfront; travel along one of North America’s largest revitalized urban streams, which has become a hub for community engagement; and explore the creation of a ‘watershed mind’ with an award-winning poet and artist. 

Medicine is in the midst of a shift never before seen. Information and technology are advancing at rates faster than our ability to adapt. These changes, along with social forces such as the health 2.0 movement, are redefining the role of the doctor and patient. This course offers participants an engaging, never-before-seen view of medicine and healthcare. 

"Medicine in the Digital Age" features in-depth interviews with thought leaders in digital health, including:

Dr. Eric Topol, author of The Creative Destruction of Medicine (2012) and The Patient Will See You Now (2015) 
Dr. Roni Zeiger, former Chief Health Strategist for Google and CEO and Co-founder of Smart Patients 
Dr. Peter Killoran, Biomedical informatics and EHR usability expert
Fred Trotter, Data Journalist and Author of ​Meaningful Use​ and Beyond (2011) 
Dr. David Wetter, Director of Innovation for Behavioral Health on Mobile Data to Knowledge (MD2K) center, for NIH Big Data to Knowledge (BD2K) Initiative 

The course is intended for a general audience and is relevant to anyone working or interested in the emerging healthcare environment. At the end of the course, participants will have the knowledge to successfully engage with the future of digital medicine. 

Medicine in the Digital Age maps out the challenges and opportunities facing healthcare in the networked age. We will explore the role of social media in healthcare communication, the uses of wearable technologies, the potential for big data to reshape health behaviors, the ethics of personalized medicine, and the impact of these new developments on the doctor-patient relationship. Participants will gain an understanding of the connected health revolution and tools to critically analyze this evolving ecosystem. Medicine in the Digital Age will launch a fresh conversation about what the future of medicine should be, and how we should get there. Join us!

What background is required to participate in this course?
No specific background is required for this course, but it is aimed at professionals who have (or would like to have) some amount of decision-making capability in their organization. This course is for leaders and aspiring leaders in healthcare and allied sectors including telecommunications, health insurance, biotechnology, pharmaceuticals, device manufacturing, policy and government, investment, consulting and innovation.

Is this course part of a series?
Not yet, but watch for future announcements!

Can I still enroll if the course has started?
Yes, but look for additional announcements from course staff about assessments that will need to be completed to qualify for the RiceX Certificate.

What types of certificates does RiceX offer?
Upon successful completion of RiceX courses, learners will be awarded a RiceX Certificate from Rice University.

How are certificates determined?
Earning a certificate is determined by the individual course. Generally, learners must complete all course requirements at a level pre-determined by the course instructor to earn a certificate.

What happens if I do not pass or cannot complete a course?
There is no limit on the number of times you can enroll in RiceX courses. Many of RiceX courses are offered on a routine basis and you will be able to enroll in the next offering.

How can I earn a certificate for the series?
Some RiceX courses are part of a series. Usually you can enroll in just one course or the entire series.  Often you do not have to decide to complete the full series when you begin. Participants can earn a series certificate if they satisfactorily fulfill the requirements for completing the series.

What happens after I sign up?
Once you have registered and paid for a course, you will receive a confirmation email from RiceX.

What time is the class?'
Courses materials are available 24 hours a day once the course has officially opened.  Some courses include live webcasts with instructors scheduled at a specific time. The webcasts are recorded and available to participants who are not able to join.  

What if I have a question or concern for the instructor?
You will be part of a dynamic global learning community of fellow professional participants available 24-7 to help within the framework of the honor code. Course engagement managers monitor the discussion forum and can address your questions or forward to the instructor.

How can I meet/find other course participants?
Every RiceX course includes a Participant Discussion Forum where you can interact with other participating professionals. The Forum is guided by an honor code. You can also connect through Google+ Hangouts and interactive activities like live webcasts that may be included in a course.

Is there an exam at the end?
No, there is no exam. Instead, there is a final project at the end of the course.

Este curso está destinado a estudiantes universitarios de la rama de las Tecnologías de la Información y las Comunicaciones que quieran conocer los mecanismos fundamentales de las comunicaciones por fibra óptica. También es adecuado para profesionales relacionados con las instalaciones de fibra óptica que deseen comprender aspectos fundamentales sobre la generación, propagación y detección de la señal óptica.

En él aprenderás los conceptos básicos relacionados con las comunicaciones ópticas. Tras comprender la importancia de las redes ópticas en la actualidad atendiendo a la evolución de la demanda y los servicios, se explicarán los fundamentos del guiado de la luz en la fibra óptica, así como las características de los modos propagados por fibras multimodo y monomodo. A continuación se estudiarán la atenuación y la dispersión, como efectos fundamentales de propagación en la fibra óptica, así como las limitaciones que éstos suponen en alcance y capacidad máxima. También se explicará la generación de señal óptica en LEDs y láseres, así como la detección y recuperación de la información transmitida por la fibra. Finalmente, el último capítulo permitirá al alumno realizar los cálculos necesarios para diseñar un sistema de comunicaciones ópticas, con la posibilidad de emplear técnicas multicanal WDM o SCM en estos sistemas.

This module, the fifth installment of the multi-part Poetry in America series, explores the Poetry of the Civil War and its Aftermath. We will:

• Encounter such poets as Herman Melville, Julia Ward Howe, Walt Whitman, Edwin Arlington Robinson, Paul Laurence Dunbar, James Weldon Johnson, Francis Ellen Watkins Harper, Emma Lazarus and W.E.B DuBois.
• Examine the language of patriotism, pride, justice, violence, loss, and memory inspired by the Nation’s greatest conflict. 
• Travel to Boston’s Robert Gould Shaw and Massachusetts 54th Regiment Monument, and to Harvard’s Memorial Hall, two iconic sites of Civil War public memory.

Distinguished guests for this module include Harvard President Drew Faust, Pulitzer Prize-winning playwright and screenwriter Tony Kushner, Professor and Emmy Award-winning filmmaker Henry Louis Gates Jr., baritone Davone Tines, and Harvard Civil War scholar John Stauffer, among others.

Led by Harvard Professor Elisa New, Poetry in America surveys nearly 400 years of American poetry. Through video lectures, archival images and texts, expeditions to historic sites, interpretive seminars with large and small groups, interviews with poets and scholars, and conversations about poems with distinguished Americans, Poetry in America embarks on a journey through the literature of a nation. Distinguished guests, including President Bill Clinton, Elena Kagan, Henry Louis Gates, Eve Ensler, John McCain, Andrea Mitchell, Michael Pollan, Drew Faust, Tony Kushner, and Nas, among others, bring fresh perspectives to the study of American Poetry.

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.

As contemporary humans, we are a product of our evolutionary past. That past can be directly observed through the study of the human fossil record, the materials preserved for archaeological study, and the DNA of living and extinct human populations. This course will provide an overview of human evolutionary history from the present--contemporary human variation in a comparative context--through our last common ancestor with the living great apes, some 5-7 million years in the past. Emphasis will be placed on major evolutionary changes in the development of humans and the methodological approaches used by paleoanthropologists and related investigators to develop that knowledge.

The course will begin by asking basic questions about how evolution operates to shape biological variation and what patterns of variation look like in living humans and apes. We will then look at how the human lineage first began to differentiate from apes, the rise and fall of the Australopithecines, the origin and dispersal of the genus Homo, and eventually the radical evolutionary changes associated with the development of agricultural practices in the past 15,000 years. Throughout the course students will be exposed to the primary data, places and theories that shape our understanding of human evolution.

As organizational data stored in email and documents continues to grow, Office 365 makes it easy to find relevant information as you need it.

In this course, you will learn how to plan, implement and manage eDiscovery in your organization. This course covers all necessary steps to effectively plan and manage discovery requests and conduct an Advanced eDiscovery analysis.

This is the first in a series of courses concerning Compliance in Office 365.