Online courses directory (1728)

Please note that this course is self-paced and you can enroll at any time. The course will take 4 weeks to complete. 

This course is presented in English with limited video subtitles in Chinese.

Modern China presents a dual image: a society transforming itself through economic development and infrastructure investment that aspires to global leadership; and the world's largest and oldest bureaucratic state, with multiple traditions in its cultural, economic, and political life. The modern society and state that is emerging in China bears the indelible imprint of China's historical experience, of its patterns of philosophy and religion, and of its social and political thought. These themes are discussed in order to understand China in the twenty-­first century and as a great world civilization that developed along along lines different from those of the Mediterranean.

ChinaX introduces new features to make the riches of Harvard's visual collections and the expertise of its faculty more accessible to learners worldwide. We will engage intellectual and religious trends, material and political culture, the local diversity and the national unity, art and literature, and China’s economic and political transformation— past, present and future.

This is the fourth of ten ChinaX "Mini-­Courses" that collectively span over 6,000 years of history. Each mini-­course consists of 4 to 8 weekly "modules," each with videos, readings, interactive engagements, assessments, and discussion forums.

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.

Want to master project management? Have a project to manage but unsure where to begin?

With over 20 million users, Microsoft Project is the go to app for project managers. In this project management course, you will learn industry standard best practices for project management using Microsoft Project, the cloud-delivered desktop client. You will learn how to do deep scheduling, resource capacity planning, progress tracking and status reporting.

No previous project management knowledge needed. Join us as you start your journey as a project manager.

This course is part of the MITx MicroMasters program in Data, Economics, and Development Policy (DEDP). To audit this course, click “Enroll Now” in the green button at the top of this page.

To enroll in the MicroMasters track or to learn more about this program and how it integrates with MIT’s new blended Master’s degree, go to MITx’s MicroMasters portal.

This statistics and data analysis course will introduce you to the essential notions of probability and statistics. We will cover techniques in modern data analysis: estimation, regression and econometrics, prediction, experimental design, randomized control trials (and A/B testing), machine learning, and data visualization. We will illustrate these concepts with applications drawn from real world examples and frontier research. Finally, we will provide instruction for how to use the statistical package R and opportunities for students to perform self-directed empirical analyses.

This course is designed for anyone who wants to learn how to work with data and communicate data-driven findings effectively, but it is challenging. Students who are uncomfortable with basic calculus and algebra might struggle with the pace of the class.

Ever wondered why you hear the term “smart grid” so often these days, and what it’s all about? This engineering course will explain the essential nature of the smart grid, an electricity network based on digital technology, and the importance of grid modernization.

This course will provide high-level insight into a smart grid’s many aspects such as distributed energy, energy storage, transmission and distribution automation, microgrids, demand response, data analytics, and cyber security.

This course builds an understanding of key smart grid technologies both from a utility and customer perspective. It delivers a business perspective through cost-benefit analysis, market adoption, and industry mega trends.

It concludes by laying out a typical roadmap for the progression of smart grids, along with an implementation methodology for realizing it.

No previous power systems or utility industry knowledge needed. Simply sit back and enjoy your journey through the world of Smart Grid.

China (Part 10): Greater China Today: The People's Republic, Taiwan, and Hong Kong is the tenth of ten parts of ChinaX, that collectively span over 6,000 years of history. Each part consists of 4 to 8 weekly "modules," each with videos, readings, interactive engagements, assessments, and discussion forums. There are a total of 52 modules in ChinaX.

Parts 6 - 10 make up China and the Modern World, taught by Professor William C. Kirby. Parts 1 - 5 make up China: Civilization and Empire, taught by Professor Peter K. Bol.  

For more information about ChinaX, please visit the ChinaX page.

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.

What can we learn through philosophical inquiry that will help us to think with clarity, rigour and humour about things that matter?

This course introduces principles of philosophical inquiry and critical thinking that will help us answer this question. Learn how we can use philosophical ideas to think about ourselves and the world around us.

Educational technology is developing rapidly, and that development has presented educators with an opportunity to rethink and improve their pedagogical practices. The concept of blended learning provides a framework to help educators integrate online educational technologies into face-to-face classes purposefully. When done effectively, blended learning has been shown to enhance student engagement and improve students’ learning outcomes.

In this self-paced course, we introduce you to principles and practices of blended learning. We cover the benefits and challenges of creating blended learning experiences, discuss how to design and deliver a successful blended course, and provide specific strategies and examples for using edX content in your classroom. This course is rich with case examples of institutions who have adopted blended learning, with stories shared from faculty around the world. The course also references research on blended learning models, and its impact.

We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R. We provide R programming examples in a way that will help make the connection between concepts and implementation. Problem sets requiring R programming will be used to test understanding and ability to implement basic data analyses. We will use visualization techniques to explore new data sets and determine the most appropriate approach. We will describe robust statistical techniques as alternatives when data do not fit assumptions required by the standard approaches. By using R scripts to analyze data, you will learn the basics of conducting reproducible research.

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

Products and technologies that influence and transform the way we live, work, and communicate rely on the development of technical standards. Standards also fuel compatibility and interoperability, reduce costs and risk, simplify product development, enable innovation, hasten time-to-market for new products – and can help determine a company’s global competitiveness. Standards play a vital role in helping consumers understand and compare competing products, and give confidence to investors.

This course will enable learners to better contribute to their organization and to advance their careers. By completing this course, learners will understand:

• different types of standards
• how they impact trade and innovation
• how they evolve
• why companies participate in standards development
• how standards change to meet emerging needs
• how to integrate related activities with other organizational functions
• strategic implications
• how standards apply to product design and planning.

We will also discuss conformity assessment, regulation and intellectual property.

This engineering course offers a practitioner’s view of technical standards and is geared to students and professionals in the fields of engineering, technology, computing, business, economics and law – particularly those working in all facets of product planning, development, and support.

We live in a world of numbers. You see them every day: on clocks, in the stock market, in sports, and all over the news. Algebra is all about figuring out the numbers you don't see. You might know how fast you can throw a ball, but can you use this number to determine how far you can throw it? You might keep track of stock prices, but how can you figure out how much money you've made (or lost) in the market? And you may already know how to tell time, but can you calculate at what times a clock's hour and minute hands are exactly aligned? With algebra, you can answer all of these questions, using the numbers you already know to solve for the unknown. Algebra is an essential tool for all of high school and college-level math, science, and engineering. So if you're starting out in one of these fields and you haven't yet mastered algebra, then this is the course for you!
 
In this course, you'll be able to choose your own path within each lesson, and you can jump between lessons to quickly review earlier material. AlgebraX covers a standard curriculum in high school Algebra I, and CCSS (common core) alignment is indicated where applicable.

Learn more about our High School and AP* Exam Preparation Courses

In 3.072x: Symmetry, Structure, and Tensor Properties of Materials, you will study the underlying structures of materials and deepen your understanding of the relationship between the properties of materials and their structures. Topics include lattices, point groups, and space groups in both two and three dimensions; the use of symmetry in the tensor representation of crystal properties; and the relationship between crystalline structure and properties, including transport properties, piezoelectricity, and elasticity. Two course projects will allow students to explore their particular interests in greater depth.  

FAQ

Who can register for this course?
Unfortunately, learners from Iran, Sudan and the Crimea region of Ukraine will not be able to register for this course at the present time. While edX has received a license from the U.S. Office of Foreign Assets Control (OFAC) to offer courses to learners from Iran and Sudan our license does not cover this course. Separately, EdX has applied for a license to offer courses to learners in the Crimea region of Ukraine, but we are awaiting a determination from OFAC on that application. We are deeply sorry the U.S. government has determined that we have to block these learners, and we are working diligently to rectify this situation as soon as possible.

A flow is called hypersonic if the Mach number is greater than 5. This means that the flow speed is more than five times the speed of sound. In air at room temperature, the speed of sound is around 340 m/s, so a Mach 5 flow would have a flow speed of 1.7 km/s or just over 6,000 km/h. When a rocket launches a satellite into earth orbit, when a probe enters the atmosphere of another planet or when an aircraft is propelled by a supersonic combustion ramjet engine (a scramjet), hypersonic flows are encountered. Hypersonics – from Shock Waves to Scramjets introduces the basic concepts associated with flight at speeds greater than Mach 5 and takes students to the stage where they can analyse the performance of a scramjet engine that might be used in a future access-to-space system.

Albert Einstein has become the icon of modern science. Following his scientific, cultural, philosophical, and political trajectory, this course aims to track the changing role of physics in the 20^th and 21^st centuries. This history course addresses Einstein's engagement with relativity, quantum mechanics, Nazism, nuclear weapons, philosophy, the arts, and technology, and raises basic questions about what it means to understand physics in its broader history.
 
Participants in the course will follow seventeen lessons, each of which will present a mix of science (no prerequisites!) and the broader, relevant cultural surround.  Some weeks will examine the physics concepts, while others will see excerpts of films or discuss modernist poetry that took off from relativity. Or we might be looking at the philosophical roots and philosophical consequences of Einstein’s works.  At other times we will be fully engaged with historical and political questions: the building, dropping, and proliferation of nuclear weapons, for example. 
 
Typically, in a lesson (about an hour of streamed material), there will be opportunities for individual mini-essay writing, some multiple choice questions to bolster your understanding of the science, and a group activity which might one week be a debate and another a collective commentary on elements of an artwork from 1920s Weimar Germany.   

HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code : https://www.edx.org/edx-terms-service. 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 : http://harvardx.harvard.edu/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 : https://www.edx.org/contact-us.

Matrix Algebra underlies many of the current tools for experimental design and the analysis of high-dimensional data. In this introductory data analysis course, we will use matrix algebra to represent the linear models that commonly used to model differences between experimental units. We perform statistical inference on these differences. Throughout the course we will use the R programming language.

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

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.

Windows Server administrators must be able to implement Active Directory Domain Services (AD DS). AD DS is the foundation for centralized management of an organization’s users and resources.

Through videos, discussions, hands-on labs and assessments, you will put in place a secure and scalable AD DS infrastructure for Windows Server users and resources.

In this hands-on course, you’ll learn how to perform engineering simulations using a powerful tool from ANSYS, Inc. This is a problem-based course where you’ll learn by doing. The focus will be on understanding what’s under the blackbox so as to move beyond garbage-in, garbage-out. You’ll practice using a common solution approach to problems involving different physics: structural mechanics, fluid dynamics and heat transfer.

We’ll solve textbook examples to understand the fundamental principles of finite-element analysis and computational fluid dynamics. Then we’ll apply these principles to simulate real-world examples in the tool including a bolted rocket assembly and a wind turbine rotor.We’ll discuss current industry practices with a SpaceX engineer. By working through examples in a leading simulation tool that professionals use, you’ll learn to move beyond button pushing and start thinking like an expert.

This course teaches fundamental concepts and tool use in an integrated fashion using the power of online learning. All learners will have access to a free download of ANSYS Student.

Join us to discover why simulations have changed how engineering is done and how you can be a part of this revolution.

In Part 2 of Science and Cooking (Part 1 is available here), we will be visited by more world-famous chefs who use a number of different styles and techniques in their cooking.  Each chef will demonstrate how he or she prepares delicious and interesting creations, and we will explore how fundamental scientific principles make them possible.

Topics will include:

• How cooking changes food texture
• Making emulsions and foams
• Phase changes in cooking

You will also have the opportunity to become an experimental scientist in your very own laboratory — your kitchen! By following along with the recipes of the week, taking precise measurements, and making skillful observations, you will learn to think like both a chef and a scientist.  This practice will prepare you for the final project, when you will design and perform an experiment to analyze a recipe of your choice from a scientific perspective.

The lab is certainly one of the most unique components of this course — after all, in what other science course can you eat your experiments?

This course focuses on the physical changes that occur during cooking.  If you are interested in signing up for “Part 1,” which focuses more on the chemistry of cooking, you can do so here.

How can you improve your understanding of Islam and its most important holy text, the Quran? How can you make sense of a tradition and a text that have been interpreted in different ways across vast geographical spaces for nearly a millennium and a half?

Using a multimedia and student-centered approach, this religion course provides tools and perspectives for understanding the role of the Quran in the Islamic tradition. Learners will develop the skills and context to read the text themselves, while also being introduced to some of the issues classical and contemporary interpreters have addressed. This approach enables learners to explore the influence of the Quran on diverse Muslim understandings of Islam.

No previous knowledge of Islam or Religious Studies is required.

This course is part of the World Religions Through Their Scriptures XSeries Program.

The world as it presents itself to dogs is not the same as the world humans experience. While dogs are far from blind, the experience of smell and sound plays a far more important role in their lives than ours.

In this course, you will learn how dogs think and comprehend the world around them. You will learn how simple relationships between objects like strings and tubes are completely incomprehensible to dogs, but social relationships are powerfully salient to both species.

This course is part of the Dog Behavior and Cognition XSeries. 

This course is approved for CEUs by the following organizations:

• Certification Council for Professional Dog Trainers (CCPDT)
  • Students who pass will receive a certificate for a total of 7.5 CEUs for behavior consultants. Additional CEUs are available by taking the remaining two courses in the series: Dog Origins (7 CEUs) and Dog Behavior: Problems and Solutions (6 CEUs).
• International Association of Animal Behavior Consultants (IAABC)
  • Students who pass will receive a certificate for a total of 6.5 CEUs. Additional CEUs are available by taking the remaining two courses in the series: Dog Origins (6.125 CEUs) and Dog Behavior: Problems and Solutions (5.375 CEUs).
• Pet Professional Accreditation Board (PPAB) for Pet Professional Guild (PPG)
  • Students who pass will receive a certificate for a total of 3.5 CEUs. Additional CEUs are available by taking the remaining two courses in the series: Dog Origins (3.5 CEUs) and Dog Behavior: Problems and Solutions (3 CEUs).

Christianity is a global religion. From modest beginnings 2,000 years ago, it has grown to encompass nearly a third of the human population. Diverse in languages, cultures, histories and creeds, Christians nonetheless share a common collection of sacred scripture called the Bible.

This religion course introduces you to the Bible and its scripture and asks the questions:

• What are the contents, languages, and forms of Bibles in various times and places?
• How have Christians lived out their stories and teachings?
• How does Christian history reflect the contested and varied uses of scripture—in the ancient Roman world where Christianity began, in its spread through European and American colonialism, in the diverse forms it takes in varied locations around the globe?

You will begin to explore these questions and others while learning about the content and interpretations of these sacred texts.

No previous knowledge of Christianity or the Bible required.

This course is part of the World Religions Through Their Scriptures XSeries Program.