Online courses directory (19947)

"Are you sick & tired of trying to figure out all of the steps it takes to get things going online?"

Students will question for themselves the meaning of human freedom, responsibility and identity by reading and responding to Dante Alighieri's Divine Comedy. The Comedy, which is richly steeped in the medieval culture of the 14th century, still speaks vividly to modern readers struggling with the question, “who am I?” Dante, as a Florentine, a poet, a lover, and religious believer, struggled with the same question in each facet of his life before coming to a moment of vision that wholly transformed him as a person.

As a 21st century reader, you will encounter the poem in a novel online environment that integrates knowledge from the disciplines of literature, history, psychology, philosophy, and theology with modern technology. You will be guided through the poem by means of the "MyDante" Project, an online environment developed by Professor Ambrosio in collaboration with the Georgetown University Center for New Designs in Learning and Scholarship (CNDLS), which will aid your own contemplative engagement with the poem. Alone and with the edX community, you will reflect on both Dante's interpretation of freedom and how it functions in the formation of personal identity, and the problem of finding appropriate metaphors to discuss these issues in our modern life.

You, the modern reader, will only understand the full implications of Dante's poetry if you participate with it in a way that is personal and is genuinely contemplative. You will discover that contemplative reading goes beyond the literal meaning, and even beyond the traditional allegorical and interpreted meaning, to apply every possible meaning contained in the text to your own life and identity. Through the MyDante platform, you will learn to know yourself in your own historical, personal, and spiritual contexts as you journey towards your understanding of your personal freedom and identity.

This introductory Chinese language course will emphasize basic language skills for everyday life in Mandarin speaking countries.

The course utilizes pinyin, the standard system of Romanized spelling for transliterating Chinese, so learners will find it easy to understand and study the language.

The course is composed of several parts: Dialogues (taught through pinyin), listening comprehension exercises (in real-world situations), Chinese characters (frequently used in daily life), Mandarin songs, and Tea Time (tips for self-study).

This course is for anyone interested in learning Mandarin Chinese, especially if you plan to work or study in Mandarin-speaking countries. The course is also a good start toward the HSK Chinese proficiency test.

This course is designed for students who are new to programming, and want to learn how to develop Android apps. You’ll learn how to create an Android project with Android Studio and run a debuggable version of the app. You'll also learn some Android architecture and the key principles underlying its design. You will gain an understanding of the processes that are involved in an Android developed application and you will become familiar with Android development tools and user interface. By the end of the course, you’ll build two simple apps that you can share with your friends.

Our Android course is taught by a group of Google developer experts who create innovative mobile apps.

This course is part of the GalileoX Android Developer MicroMasters Program and is specifically designed to teach the critical skills needed to be successful in this exciting field and to prepare you to take the Google Associate Android Developer Certification exam. To qualify for the MicroMasters Credential you will need to earn a Verified Certificate in each of the four courses as well as a Final Project. 

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This is an interactive course about the basic concepts of Systems, Control and their impact in all the human activities. First, the basic concepts of systems, dynamics, structure and control are introduced. Then, looking at many examples in Nature and human made devices, we will realize that the dynamic behavior of most systems can be modified by adding a control system. Later we will see how knowing how to evaluate the dynamic behavior of a system and measure its performance will provide the tools to design new controlled systems fulfilling some requirements.

By considering which are the benefits of control and the challenges for the future we will open the mind to tackle new applications and develop new scenarios from the micro-systems level to the common systems and the whole universe. An overview of the techniques available for a deeper introduction to the subject will be presented at the end.

Control technology is said to be a hidden technology. We do not notice it under normal operation, but it appears if a failure happens. Looking around in Nature and at human made devices, we realize that their behavior presents analogies and that we can manipulate their temporal evolution.

Characterizing the dynamic behavior of systems and the possibility to change it by introducing control devices is the main aim of the course. You will learn to analyze the dynamic properties of a system and the options to change its behavior according to some requirements.You will learn the basic concepts to undertake further studies in control engineering and its use in a variety of disciplines, from human and social sciences to any engineering field. 

Supply chains are complex systems involving multiple businesses and organizations with different goals and objectives. Many different analytical methods and techniques are used by researchers and practitioners alike to better design and manage their supply chains. This business and management course introduces the primary methods and tools that you will encounter in your study and practice of supply chains. We focus on the application of these methods, not necessarily the theoretical underpinnings.

We will begin with an overview of introductory probability and decision analysis to ensure that students understand how uncertainty can be modeled. Next, we will move into basic statistics and regression. Finally, we will introduce optimization modeling from unconstrained to linear, non-linear, and mixed integer linear programming.

This is a hands-on course. Students will use spreadsheets extensively to apply these techniques and approaches in case studies drawn from actual supply chains.

MITx MicroMasters Credential in Supply Chain Management

The MITx MicroMasters Credential in Supply Chain Management is specifically designed and administered by MIT’s Center for Transportation & Logistics (CTL) to teach the critical skills needed to be successful in this exciting and growing field. In addition to being a standalone certificate demonstrating expertise in the field, students who complete all of the required courses and the final proctored exam will be qualified to apply to gain credit at MIT for the blended graduate master's degree program. In order to qualify for the MITx MicroMasters Credential in Supply Chain Management you need to earn a Verified Certificate in all of the required courses. When you register for a Verified Certificate you will also be granted access to additional practice problems, supplemental readings, and opportunities for increased interaction with the faculty and teaching staff.

To learn more about the MITx MicroMasters Credential in Supply Chain Management, please visit http://scm.mit.edu/micromasters

MITx requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. MITx will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the MITx course; revocation of any certificates received for the MITx course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations.

The Office of Foreign Assets Control (OFAC) has restricted access of these courses to any learners living in Cuba or Iran. The only exception is that learners in Iran may take SC0x, but no other classes. This is not a ruling that MITx, edX, or the course staff may overrule or change.

Curso de Qualidade, Seguran

DNS is an essential core pillar of all Microsoft networking infrastructure. However, incorrectly configured DNS is one of the most common causes of slow and failed logons in Microsoft environments.

In this computer science course, you will learn the core skills to quickly and easily implement DNS in your work environment.

You can take this course before or after course Implementing DHCP in Microsoft Windows Server. Both courses provide essential skills for working with networks.

Is my program correct?  Will it give the right output for all possible permitted inputs?  Computers are now essential in everyday life.  Incorrect programs lead to frustration in the best case and disaster in the worst. Thus, knowing how to construct correct programs is a skill that all who program computers must strive to master. 

In this computer science course, we will presents "goal oriented programming" the way Edsger Dijkstra, one of the most influential computer scientists, intended. You will learn how to derive programs hand-in-hand with their proofs of correctness. The course presents a methodology that illustrates goal-oriented programming, starting with the formalization of what is to be computed, and then growing the program hand-in-hand with its proof of correctness. The methodology demonstrates that, for a broad class of matrix operations, the development, implementation, and establishment of correctness of a program can be made systematic.

Since this technique focuses on program specifications, it often leads to clearer, correct programs in less time. The approach rapidly yields a family of algorithms from which you can then pick the algorithm that has desirable properties, such as attaining better performance on a given architecture. 

The audience of this MOOC extends beyond students and scholars interested in the domains of linear algebra algorithms and scientific computing. This course shows how to make the formal derivation of algorithms practical and will leave you pondering how our results might extend to other domains.

As a result of support from MathWorks, learners will be granted access to MATLAB for the duration of the course.

In Compliance in Office 365​^®: Data Governance, you will learn how to plan, implement, and manage the archiving and data retention features of Office 365 in your organization. As organizational data stored in email and documents continues to grow, Office 365 makes it easy to control the information that you want to keep and control the flow of information out of your organization. This course covers all the information you need to effectively plan and manage data retention and data leakage.

This is the second in a series of courses concerning Compliance in Office 365. By completing this course, you will gain an understanding of the archiving and data retention capabilities of Office 365 and data leakage prevention.

Understand the background and meaning of Six Sigma and the five steps of the DMAIC process improvement flow: Define, Measure, Analyse, Improve and Control. Discuss what "Quality" means and how to identify the Voice of the Customer.

You will learn how to set an improvement project goal, calculate process yield, and identify Critical to Quality parameters.

You will learn how to map a process and to use the necessary statistical techniques to establish the baseline performance of a process and to calculate the process capability.

To complement the lectures, we provide interactive exercises, which allow learners to see the statistics "in action." Learners then master the statistical concepts by completing practice problems. These are then reinforced using interactive case-studies, which illustrate the application of the statistics in quality improvement situations.

Upon successful completion of this program, learners will earn the Technical University of Munich Lean Six Sigma Yellow Belt Certification, confirming mastery of the fundamentals of Lean Six Sigma to a Yellow Belt level, based on the American Society of Quality's Body of Knowledge for the Certified Six Sigma Yellow Belt.

Technological innovations have revolutionized the way we view and interact with the world around us. Editing a photo, re-mixing a song, automatically measuring and adjusting chemical concentrations in a tank: each of these tasks requires real-world data to be captured by a computer and then manipulated digitally to extract the salient information. Ever wonder how signals from the physical world are sampled, stored, and processed without losing the information required to make predictions and extract meaning from the data?

Students will find out in this rigorous mathematical introduction to the engineering field of signal processing: the study of signals and systems that extract information from the world around us. This course will teach students to analyze discrete-time signals and systems in both the time and frequency domains. Students will learn convolution, discrete Fourier transforms, the z-transform, and digital filtering. Students will apply these concepts in interactive MATLAB programming exercises (all done in browser, no download required).

Part 1 of this course analyzes signals and systems in the time domain. Part 2 covers frequency domain analysis.

Prerequisites include strong problem solving skills, the ability to understand mathematical representations of physical systems, and advanced mathematical background (one-dimensional integration, matrices, vectors, basic linear algebra, imaginary numbers, and sum and series notation). Part 1 is a prerequisite for Part 2. This course is an excerpt from an advanced undergraduate class at Rice University taught to all electrical and computer engineering majors.

Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability and optimization. Learning algorithms enable a wide range of applications, from everyday tasks such as product recommendations and spam filtering to bleeding edge applications like self-driving cars and personalized medicine. In the age of ‘big data’, with datasets rapidly growing in size and complexity and cloud computing becoming more pervasive, machine learning techniques are fast becoming a core component of large-scale data processing pipelines.

This statistics and data analysis course introduces the underlying statistical and algorithmic principles required to develop scalable real-world machine learning pipelines. We present an integrated view of data processing by highlighting the various components of these pipelines, including exploratory data analysis, feature extraction, supervised learning, and model evaluation. You will gain hands-on experience applying these principles using Spark, a cluster computing system well-suited for large-scale machine learning tasks, and its packages spark.ml and spark.mllib. You will implement distributed algorithms for fundamental statistical models (linear regression, logistic regression, principal component analysis) while tackling key problems from domains such as online advertising and cognitive neuroscience.

Are you interested in understanding freedom of expression and information? Do you want to learn how it is defined under international law, who abuses it and how it is protected on or off-line?

Adopting a global standpoint, this course will present the international human rights norms and laws that define free speech and the global jurisprudence that has developed to safeguard it. It will explore political expression, press freedom and freedom of expression on the Internet. It will outline the legitimate restrictions to freedom of expression, and discuss its most pressing challenges and violations globally.

Taught with the support of journalists, human rights defenders and press freedom activists from around the world, this course is a formidable introduction to a complex fundamental right, at the heart of today’s many global challenges, from the Internet to national security, freedom of religion and privacy.

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In this quantum physics course you will learn the basics of quantum mechanics. We begin with de Broglie waves, the wavefunction, and its probability interpretation. We then introduce the Schrodinger equation, inner products, and Hermitian operators. We also study the time-evolution of wave-packets, Ehrenfest’s theorem, and uncertainty relations.

This is the first course in a series which includes:

• Quantum Mechanics: Wavefunctions, Operators, and Expectation Values
• Quantum Mechanics: Quantum Physics in 1D Potentials
• Quantum Mechanics: 1D Scattering and Central Potentials

The series is based on MIT 8.04: Quantum Mechanics I. At MIT, 8.04 is the first of a three-course sequence in Quantum Mechanics, a cornerstone in the education of physics majors that prepares them for advanced and specialized studies in any field related to quantum physics.

After completing the 8.04x series, you will be ready to tackle the Mastering Quantum Mechanics course series on edX, which will be available in Spring 2018.

This economics and finance course is a survey of risk measures and risk measurement practices applied to individual securities and portfolios. Students will also study risk reports of publicly traded financial institutions.

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

For those who wish to learn more, students can enroll in the remaining four courses to earn the complete Risk Management Professional Certificate, backed by the New York Institute of Finance’s 93-year history.

Students and professionals in science, design and technology have to develop and communicate concepts that are often difficult to comprehend for the public, their peers and even themselves.

This communication course will help you enhance your communication and interpersonal skills and provide insight, tips and tricks to make such complex and seemingly unimaginable concepts and ideas imaginable.

After finishing this course you will be more skilled in finding the right visual language to convey your ideas, thoughts and vision. You will be able to illustrate concepts and themes and you will know how to unravel complexity by using diagrams and schemes.