Online courses directory (19947)

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.

Discussions of economic topics and how they relate to current events. Unemployment. Unemployment Rate Primer (v2). Unemployment Rate Primer. Simple Analysis of Cost per Job Saved from Stimulus. Unemployment. Unemployment Rate Primer (v2). Unemployment Rate Primer. Simple Analysis of Cost per Job Saved from Stimulus.

An alternative to Cartesian coordinates. Parametric Equations 1. Parametric Equations 2. Parametric Equations 3. Parametric Equations 4. Polar Coordinates 1. Polar Coordinates 2. Polar Coordinates 3. Parametric Equations 1. Parametric Equations 2. Parametric Equations 3. Parametric Equations 4. Polar Coordinates 1. Polar Coordinates 2. Polar Coordinates 3.

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。    

nomenclature and reactions of aldehydes and ketones. Aldehyde Introduction. Ketone Naming. Keto Enol Tautomerization. Aldol Reaction. Aldehyde Introduction. Ketone Naming. Keto Enol Tautomerization. Aldol Reaction.

nomenclature and reactions of amines. Amine Naming Introduction. Amine Naming 2. Amine as Nucleophile in Sn2 Reaction. Amine in Sn2 part 2. Sn1 Amine Reaction. Amine Naming Introduction. Amine Naming 2. Amine as Nucleophile in Sn2 Reaction. Amine in Sn2 part 2. Sn1 Amine Reaction.

Linear momentum. Conservation of momentum. Elastic collisions. Introduction to Momentum. Momentum: Ice skater throws a ball. 2-dimensional momentum problem. 2-dimensional momentum problem (part 2). Introduction to Momentum. Momentum: Ice skater throws a ball. 2-dimensional momentum problem. 2-dimensional momentum problem (part 2).

¿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.

This first-year University chemistry course explores the basic principles of the chemical bond by studying the properties of solids. Properties such as stiffness, electrical conductivity, thermal expansion, strength, and optical properties are the vehicle by which you can learn a great deal of practical chemistry. 

You will see how experts use their knowledge of trends in the periodic table to predict the properties of materials. 3.091x is an engineering course so there is an emphasis on applications and how materials are used. The on-campus version of the course has been taught for over forty years and is one of the largest classes at MIT.

This course will cover the relationship between electronic structure, chemical bonding, and atomic order, and characterization of atomic arrangements in crystalline and amorphous solids: metals, ceramics, semiconductors, and polymers (including proteins). There will be topical coverage of organic chemistry, solution chemistry, acid-base equilibria, electrochemistry, biochemistry, chemical kinetics, diffusion, and phase diagrams. Examples will be drawn from industrial practice (including the environmental impact of chemical processes), from energy generation and storage (e.g., batteries and fuel cells), and from emerging technologies (e.g., photonic and biomedical devices). 

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.

Thinking about making things rotate. Center of mass, torque, moments and angular velocity. Center of Mass. Introduction to Torque. Moments. Moments (part 2). Relationship between angular velocity and speed. Conservation of angular momentum. Center of Mass. Introduction to Torque. Moments. Moments (part 2). Relationship between angular velocity and speed. Conservation of angular momentum.

Pendulums. Slinkies. You when you have to use the bathroom but it is occupied. These all go back and forth over and over and over again. This tutorial explores this type of motion. Introduction to Harmonic Motion. Harmonic Motion Part 2 (calculus). Harmonic Motion Part 3 (no calculus). Introduction to Harmonic Motion. Harmonic Motion Part 2 (calculus). Harmonic Motion Part 3 (no calculus).

This topic focuses on how to design and create products that solve real problems and bring academic content to life. Ping pong ball launcher introduction. Build a ping pong ball launcher . Update and modify your ping pong ball launcher.

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

Thermo Can.

Brushed DC motor explained. Build your own motor. Compare the hair dryer motor to the one you can build.