Online courses directory (19947)

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How much can we know of the physical world? Can we know everything? Or are there fundamental limits to how much we can explain? If there are limits, to what extent can we explain the nature of physical reality? RealityX investigates the limits of knowledge and what we can and cannot know of the world and ourselves.

We will trace the evolution of ideas about the nature of reality in philosophy and the natural sciences through the ages. Starting with the philosophers of Ancient Greece and ending with cutting edge theories about the universe, quantum physics, and the nature of consciousness.

Learners who complete this course will be able to:

A. Communicate with others about the latest scientific discoveries in various disciplines including cosmology, quantum physics, mathematics, machine intelligence and cognitive science.

B. Identify key points in history where scientific advances changed humanity’s philosophy and understanding of the nature of reality and our place in the Universe.

C. Reflect on and examine their own worldview and identify if any changes occurred during this course.

D. Confidently argue about scientific evidence, philosophical viewpoints, and others’ interpretations of both.

E. Demonstrate how the scientific method works, its limitations, and how scientists use it to construct knowledge about physical reality.

Join world-renowned physicist and author Marcelo Gleiser and leading experts as we explore how philosophers and physicists from Plato to Einstein and many others have attempted to explain the nature of the world and of reality.

This course will be offered in both English and Portuguese. Videos will have subtitles,discussions will be supported in both languages, as will all assignments.

This course is a project of the Institute for Cross-Disciplinary Engagement at Dartmouth (ICE), dedicated to transforming the dialogue between the sciences and the humanities in academia and in the public sphere in order to explore fundamental questions where a cross-disciplinary exchange is essential.

If you are interested in learning programming, but find pure programming courses not very exciting, this course is for you.

Instead of just learning programming principles outside of any context, you will learn JavaScript programming by implementing key biological concepts in code so they can run in your browser.

If you know a little (or a lot of) programming already, but want to learn more about the rules that govern life without having to pick up a traditional academic textbook, this course will also be of interest to you. You will learn some key ideas that form the basis of modern biology, from population genetics to evolutionary biology to infectious disease spread.

No prior programming knowledge needed.

Are you thinking about teaching high school math? Learning how to implement effective teaching strategies is essential to creating a successful environment for both you and your students. In this education and teacher training course, you will learn, from experts at Teach for America, how to teach introductory fundamental geometry concepts and empower students to explore math on their own.

You will have the opportunity to engage in creative teaching practices and learn new ways to imagine and visualize approaches for teaching geometry. You will also learn best practices to better support student learning in a math classroom. If you are preparing for or considering teaching geometry, this course will be ideal for you as you explore effective classroom instructional strategies, operations and better understand the foundational content you will teach in a high school geometry class across diverse student communities.

This course includes a weekly module that covers teaching strategies while also introducing commonly taught high school geometry content including:

• segment/angle addition
• basic and parallel/transversal line angle
• angle relationships
• perpendicular and parallel linear equations

You can jump between lessons to quickly review geometry content and classroom strategies relevant to your learning interests. This course covers geometry curriculum typically covered in high school classroom and Common Core State Standards (CCSS) alignment is indicated where applicable. No prerequisite knowledge is required, however, basic algebra skills will be useful (as well as a strong desire to make an engaging and inclusive geometry class)!

In this course you will learn about the  different experiences patients go through in a medical context. The patient journey explores the interaction between the patient and the healthcare providers in all stages of the disease; coping with treatment and dealing with expectations, and interaction with and between different stakeholders.

This course will give designers and specialists in healthcare the knowledge, insights and tools to be able to analyze and improve patient experience. You will learn how to map complex healthcare scenarios, pinpoint opportunities and create hands-on solutions aimed at improving the patient experience.  

This course is an introduction to patient journey mapping; developed at the Delft University of Technology and applied in improvement of care pathway. Step-by-step, the course visualizes the different stakeholders, phases and actions involved in patient treatment. You will be challenged to pursue new insights and given unique opportunities to learn, observe and question patients and medical professionals, with the opportunity to attend a live broadcasted, interactive surgery.

No previous knowledge about health care innovation, design or journey mapping is necessary.

LICENSE

The course materials of this course are Copyright Delft University of Technology and are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA) 4.0 International License.

This course is designed to provide future STEM faculty, graduate students and post-doctoral fellows with an introduction to effective teaching strategies and the research that supports them.

The goal of the eight-week course is to equip the next generation of STEM faculty to be effective teachers, thus improving the learning experience for the thousands of students they will teach.

The course draws on the expertise of experienced STEM faculty, educational researchers, and staff from university teaching centers, many of them affiliated with the Center for the Integration of Research, Teaching, and Learning (CIRTL), a network of research universities collaborating in the preparation of STEM graduate students and post-docs as future faculty members.

Our capacity to collect and store data has exponentially increased, but deriving information from data from a scientific perspective requires a foundational knowledge of probability.

Are you interested in a career in the emerging data science field, or as an actuarial scientist? Or want better to understand statistical theory and mathematical modeling?

In this statistics and data analysis course, we will provide an introduction to mathematical probability to help meet your career goals in the exciting new areas becoming known as information science.

In this course, we will first introduce basic probability concepts and rules, including Bayes theorem, probability mass functions and CDFs, joint distributions and expected values.

Then we will discuss a few important probability distribution models with discrete random variables, including Bernoulli and Binomial distributions, Geometric distribution, Negative Binomial distribution, Poisson distribution, Hypergeometric distribution and discrete uniform distribution.

To continue learning about probability, enroll in Probability: Distribution Models & Continuous Random Variables, which covers continuous distribution models, central limit theorem and more.

 
The Center for Science of Information, a National Science Foundation Center, supports learners by offering free educational resources in information science.

In this statistics and data analysis course, you will learn about continuous random variables and some of the most frequently used probability distribution models including, exponential distribution, Gamma distribution, Beta distribution, and most importantly, normal distribution.

You will learn how these distributions can be connected with the Normal distribution by Central limit theorem (CLT). We will discuss Markov and Chebyshev inequalities, order statistics, moment generating functions and transformation of random variables.

This course along with the recommended pre-requisite, Probability: Basic Concepts & Discrete Random Variables, will you give the skills and knowledge to progress towards an exciting career in information and data science.

 
The Center for Science of Information, a National Science Foundation Center, supports learners by offering free educational resources in information science.

In order to be competitive in the computer science field, it’s imperative to understand the basic building blocks of a modern computer and how they directly impact the speed and efficiency of a program. Whether you work with embedded systems, mobile computer-based systems, or cloud systems, performance and energy efficiency are key drivers of usability and competitiveness of computerized products.

In this course, you will learn how to design modern multicore-based computers, and how the design choices you make affect performance and energy consumption. You will explore design principles governing modern microprocessors, such as pipelining and cache memories, as well as methods for determining the impact of your design on execution time and energy efficiency.

These skills can make a difference for practicing engineers for the purpose of building highly competitive products. Take, for instance, a smartphone with limited battery capacity. By adding value to end users through new or improved functionality, this can lead to significantly shorter operation time between battery charges, thus utilizing the already limited resources of a smartphone far more efficiently.

With this skillset, you can become an expert in computer system performance and energy efficiency - knowledge that is in high demand when designing computerized embedded products. With trends towards IoT (Internet of Things), autonomous systems and mobile computers, such a skillset will be critical in a career in systems engineering.

This course is derived from a Chalmers senior undergraduate course in computer system design. It assumes basic knowledge in computer organization.

Comment l’eau de pluie s'infiltre-t-elle dans le sol (et quelle partie ruisselle) ? Quelle est la recharge d’une nappe ? Quelle quantité d’eau un sol peut-il retenir ? Quelle sont les directions des flux de polluants dans un sol ?

Ce cours vous donnera les clés pour comprendre, modéliser et mesurer les processus de transferts de l’eau dans le sol.

Il s’adresse aux ingénieurs, techniciens et étudiants désireux d'accroître ou de rafraîchir leurs connaissances dans le domaine de l’hydrodynamique des sols, pour des applications aussi diverses que l’agronomie, l’environnement, l’irrigation ou la mécanique des sols.

Ce cours sera donné par des experts de différents domaines liés à cette thématique. Il vous permettra d’acquérir les bases nécessaires à l’utilisation d’outils de modélisation hydrologique, d’irrigation, ou de pollution diffuse.

En collaboration avec

In Microsoft SharePoint 2016 Infrastructure, you will learn how to plan and configure a SharePoint on premise solution. You will learn about the necessary hardware and software requirements, the overall methodology to SharePoint Architecture, as well as how to deploy and configure the SharePoint environment.

This course is part of the Microsoft SharePoint Server 2016 XSeries. By completing this course, you will gain a better understanding of the infrastructure requirements of SharePoint Server 2016.

In Microsoft SharePoint 2016 Productivity Solutions, you will learn how to create and configure features that allow for SharePoint to be an effective and resourceful tool in an organization. You will learn about app management, configuration of productivity services and additional application features.

This course is part of the Microsoft SharePoint Server 2016 XSeries. By completing this course, you will gain a better understanding of the productivity feature requirements of SharePoint Server 2016.

In Microsoft SharePoint 2016 Search and Content Management, you will learn how to create and configure the features that allow for SharePoint to be an effective and resourceful tool an organization. This learning will be comprised of app management, configuration of productivity services and additional application features.

This course is part of the Microsoft SharePoint Server 2016 XSeries. By completing this course, you will gain a better understanding of how to use SharePoint Server 2016 to improve your organization’s productivity.

In Microsoft SharePoint 2016 Workload Optimization, you will learn the necessary information for creating site collections, using high availability for disaster carvery as well as prepare social workloads and web content management.

This course is part of the Microsoft SharePoint Server 2016 XSeries. By completing this course, you will gain a better understanding of the workload optimization requirements of SharePoint Server 2016 to improve your organization’s efficiency.

Digital systems are at the heart of the information age in which we live, allowing us to store, communicate and manipulate information quickly and reliably. This computer science course is a bottom-up exploration of the abstractions, principles, and techniques used in the design of digital and computer systems. If you have a rudimentary knowledge of electricity and some exposure to programming, roll up your sleeves, join in and design a computer system!

This is Part 1 of a 3-part series on digital systems, teaching the fundamentals of digital circuit design and is based on a course offered by the MIT Department of Electrical Engineering and Computer Science. Topics include digital encoding of information, principles of digital signaling; combinational and sequential logic, implementation in CMOS, useful canonical forms, synthesis; latency, throughput and pipelining.

Using your browser for design entry and simulation, you’ll get to design and debug circuits at both the transistor- and gate-level, culminating in the creation of a 32-bit arithmetic and logic unit.

Learner Testimonial

“This course is like a dream coming true...as kid (10 - 12 years) I was already building circuits and reading books about Digital Circuits. Due to all kind of circumstances I never got to pursue a study and career in electronics ...now I am almost 50... I see this as a second chance. Thank you very very much for this awesome course. One of the best, (if not the best) MOOCs I've ever taken.” -- Previous Student

The human mind is an evolutionary product, just like the body. However, the mind does not remain in fossil form like bones and teeth. Therefore, to better study and understand our minds their evolutionary origins we need to compare our cognitive features with those of different living primates. This approach is called "Comparative Cognitive Science (CCS)". CCS is a unique combination of Psychology and Primatology. CCS tries to give answers to the fundamental questions such as "what is uniquely human?", "where did it come from?”, "how did we get here?”, and "where do we go?" This intensive course focuses on chimpanzees, the closest relatives of humans.

This course covers selected areas of current research on CCS. We focus on behavioral studies of nonhuman animals, especially chimpanzees. Since the chimpanzee and the human share the latest common ancestor, only about five million years ago, this great ape provides the key to understanding our nature.

This is CS50 AP, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for students in high school, which satisfies the College Board's new AP CS Principles curriculum framework.

An entry-level course taught by David J. Malan, CS50 AP teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, PHP, and JavaScript plus SQL, CSS, and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming. As of Fall 2015, the on-campus version of CS50 was Harvard's largest course.

Students in high school may receive AP credit for this course provided their school approves the credit and administers the College Board's end-of-year exam. Students who earn a satisfactory score on 9 problem sets (i.e., programming assignments) and a final project are also eligible to receive a verified certificate from HarvardX.

¿Qué es envejecer? ¿Qué es más importante a la hora de envejecer, la herencia o el ambiente? ¿Podemos actuar sobre nuestro propio envejecimiento? ¿Qué tendríamos que hacer para envejecer bien?

Estas y otras muchas preguntas serán respondidas a los largo de este MOOC en el que se pretende transmitir conocimientos actualizados y científicos sobre cómo llegar a una longevidad positiva y saludable a la vez que se pretende motivar a los participantes en la puesta en práctica de una serie de comportamientos que conforman lo que llamamos estilos de vida activos y saludables. Así pues, esos conocimientos no serán suficientes para el cambio hacia un envejecimiento activo; ello dependerá de que cada uno de los participantes incorpore, como hábitos, esos comportamientos que sabemos influyen en un envejecimiento óptimo, lo cual requerirá de una actitud positiva y de la determinación, el querer realizar algunos cambios.

Partimos de la consideración de que el envejecimiento no tiene un claro inicio sino que “vivir es envejecer y envejecer es vivir” y consideramos que a todo lo largo de la vida hay crecimiento, estabilidad y declive. Desde luego, huimos de una visión simplista, exclusivamente positiva, del envejecimiento y dado que la edad está asociada a la enfermedad, la discapacidad y a otros problemas, tratamos de promover ciertas “soluciones” que llevan consigo lo siguiente: optimizar las capacidades físicas, mentales, afectivas y sociales; prevenir potenciales enfermedades y problemas y, en su caso, compensar o paliar existentes déficits.

Esas estrategias, soluciones comportamentales y estilos de vida protectores o combativos de factores de riesgo pertenecen a cuatro dominios esenciales: la mejora de la salud y la funcionalidad; promover el ejercicio físico y cognitivo regular; el mantenimiento y la optimización del afecto positivo y el control y, finalmente, la implicación familiar y social.

Este curso está dirigido a personas de cualquier edad que estén interesadas en envejecer bien. Va a requerir no solo el aprendizaje de conocimientos científicos sino una implicación personal de los participantes puesto que pretendemos, también, la introducción de cambios en la forma de percibir la vejez y en la incorporación de hábitos saludables que lleven consigo, a largo plazo, el desarrollo personal y la satisfacción con la vida.

In this economics course, you will learn some of the major concepts of macroeconomics, such as gross domestic product, price level, inflation, unemployment, economic growth and the balance of payments.

You will see that macroeconomics is not that different from microeconomics, in that the interaction of supply and demand provides the basic organizing framework for analyzing the workings of a national economy. You will learn how the equilibrium levels of national income and prices are determined at the intersection of aggregate supply and aggregate demand curves, just as the equilibrium quantity of transaction and price of an individual commodity is determined at the intersection of supply and demand curves.

This is an introductory course at the most elementary level so no prior knowledge of economics is required.

Designing effective interactive systems requires understanding the needs and capabilities of the people who will be using them. In this UX course we will focus on how to interact with users (or potential users) to understand what they need, what they currently do, what they love and hate, and examine human capabilities and behavior as they relate to UX design.

Learners will be introduced to numerous techniques to gather data from and about users.

This course is part of the User Experience (UX) Research and Design MicroMasters Program offered by MichiganX.

Building on UX Design: From Concept to Wireframe, this UX course you will show you how to take a set of wireframes and interaction architecture and embody it in an interactive prototype. Using a state-of-the-art prototyping tool, you will build a testable prototype and use it to gain preliminary user feedback. You will also learn about how to document your prototype so that a development team can take it to the next level.

This course is part of the User Experience (UX) Research and Design MicroMasters Program offered by MichiganX.