Online courses directory (1728)

You love music. You listen to music all the time. Maybe you sing, play an instrument, or compose music. You don’t need to have musical talent to use music to enhance your well being, and even your health.

Learn simple techniques to enrich your mind, body, and spirit through music. The methods can be applied in your daily life, particularly when you are feeling down or stressed out. Developed by a board-certified music therapist and a vocalist/pianist/composer/recording artist specializing in Indian music, these strategies combine science with the wisdom of Eastern philosophy.

In the course, discover how to unlock your creativity. You will learn not only how to listen to music in a new way, but also how to listen to the impact that music has on you. You will find out how to care for yourself by practicing coping techniques that are supported by music that is special to you.

6.341x is designed to provide both an in-depth and an intuitive understanding of the theory behind modern discrete-time signal processing systems and applications. The course begins with a review and extension of the basics of signal processing including a discussion of group delay and minimum-phase systems, and the use of discrete-time (DT) systems for processing of continuous-time (CT) signals. The course develops flow-graph and block diagram structures including lattice filters for implementing DT systems, and techniques for the design of DT filters. Parametric signal modeling and the efficient implementation of DT multirate and sampling rate conversion systems are discussed and developed. An in-depth development of the DFT and its computation as well as its use for spectral analysis and for filtering is presented. This component of the course includes a careful and insightful development of the relationship between the time-dependent Fourier transform and the use of filter banks for both spectral analysis and signal coding.

6.341x is organized around eleven units each typically consisting of a set of two to four topics. The source material for learning each topic includes suggested reading in the course text, clarifying notes, other related reading, and video excerpts and will include an interactive on-line discussion forum. The course text is the widely used text by Oppenheim and Schafer (third edition). The video segments are adapted from live video recordings of the MIT residential course. 

Each topic includes a set of automatically-graded exercises for self-assessment and to help in digesting and understanding the basics of the topic, and in some cases to preview topics. A typical unit in the course concludes with a set of more extensive problems to help in integrating the topics and developing a deeper understanding. Automatic grading of your answers to these problems as well as solutions will be provided.

6.341x and this freely-available version were developed through the support and encouragement of the MIT Department of Electrical Engineering and Computer Science, the MIT Office of Digital Learning, and the MIT Research Laboratory of Electronics.

This course can be cited as: Alan V. Oppenheim and Thomas A. Baran, 6.341x Discrete-Time Signal Processing, on edX, Summer 2016. https://www.edx.org/course/discrete-time-signal-processing-mitx-6-341x-1

In this computer science course, you will learn advanced concepts underpinning the design of today’s multicore-based computers. Additionally, you will learn how design decisions affect energy efficiency and performance.

Overall, topics include fundamentals on exploiting parallelism among instructions such as out-of-order execution, branch prediction, exception handling and advanced concepts of memory systems including prefetching and cache coherency. These concepts are fundamental for future computer systems to maximize compute efficiency.

You will also engage with a community of learners with similar interests to share knowledge.

The course is derived from Chalmers’s advanced graduate course in computer architecture. Prospective students should have a foundation in basic computer design, as offered by, for example, in “Computer System Design - Improving Energy Efficiency and Performance.“

In this course you will learn to use some mathematical tools that can help predict and analyze sporting performances and outcomes. This course will help coaches, players, and enthusiasts to make educated decisions about strategy, training, and execution. We will discuss topics such as the myth of the Hot Hand and the curse of the Sports Illustrated cover; how understanding data can improve athletic performance; and how best to pick your Fantasy Football team. We will also see how elementary Calculus provides insight into the biomechanics of sports and how game theory can help improve an athlete’s strategy on the field.
 
In this course you will learn:

1. How a basic understanding of probability and statistics can be used to analyze sports and other real life situations.
2. How to model physical systems, such as a golf swing or a high jump, using basic equations of motion.
3. How to best pick your Fantasy Football, March Madness, and World Cup winners by using ranking theory to help you determine athletic and team performance. 

By the end of the course, you will have a better understanding of math, how math is used in the sports we love, and in our everyday lives. 

The Yield Curve is one of the most closely scrutinized indicators in the world of finance. Whether you’re managing your own personal portfolio or sitting at a bond trading desk on Wall Street, an understanding of Yield Curve Analysis is essential for delivering returns rather than losses. And, with a Fed interest rate hike imminent, there has never been a more urgent time to learn how the Yield Curve affects your investments.

This course, designed as an intensive introduction to the Yield Curve and the U.S. Federal Reserve, will allow you to understand the impact of interest rates on the economy, the marketplace, and most importantly, your assets. With an understanding of this powerful decision-making tool, you will be far better prepared to protect your portfolio from the ephemeral nature of Fed policy. Additionally, for those in finance-facing positions, such as Corporate Treasurer or Comptroller, Yield Curve Analysis will give you valuable context as you work with investment bankers and other external finance personnel to understand the status of your organization’s assets.

Lastly, for those pursuing a career in finance, particularly as a Fixed Income Analyst, Bond Trader, or Economic Analyst, this course will give you a head start on an essential knowledge area for your job function. Best of all, upon successful completion of the course, you will receive an accredited Professional Certificate, backed by the 93 year history of the New York Institute of Finance. With your resume bearing this certificate and the knowledge it implies, you will have a significant advantage as you seek employment in the finance industry.

Don’t wait for the Fed to raise interest rates – Enroll in Yield Curve Analysis today, develop this essential skillset, and get the certificate to prove it!

"After this course, I know how the new US Treasury products work for my portfolio."
– Chief Dealer, Head of Treasury – Bank BNI

“I gained more knowledge that I can apply to daily work and real life scenarios.”
– Bond Desk Manager – Banco de Reservas

In this six-week course, you will learn the basics of photography and gain intriguing new perspectives on the visual world.  The course will include video tutorials, accompanied by photography assignments. Learners will upload their images to small, online working groups for discussion and review.  You will discover how subtle changes in lighting, composition, and background contribute to creating more compelling images that help communicate science visually. The course also includes interviews with noteable image makers and art directors.
 
While previous experience with a camera will be helpful, it is not essential. In order to complete the course assignments, you will need access to a single-lens reflex camera (a camera that can accept interchangeable lenses), a 105 macro lens, a flatbed scanner, and a smartphone or tablet with camera. Learners without access to this equipment can still benefit from the course concepts. However, full participation in the image making assignments will create more meaningful hands-on experience. 

Principles of Biochemistry integrates an introduction to the structure of macromolecules and a biochemical approach to cellular function. Topics addressing protein function will include enzyme kinetics, the characterization of major metabolic pathways and their interconnection into tightly regulated networks, and the manipulation of enzymes and pathways with mutations or drugs. An exploration of simple cells (red blood cells) to more complex tissues (muscle and liver) will be used as a framework to discuss the progression in metabolic complexity. Learners will also develop problem solving and analytical skills that are more generally applicable to the life sciences.

New in version 2, learners will explore how alteration of these metabolic pathways relates to the development and progression of some human diseases.

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.

Image credit: PDB ID 2DN1, 2DN2

Park S-Y, Yokoyama T, Shibayama N, Shiro Y, Tame JRH (2006) 1.25 A resolution crystal structures of human haemoglobin in the oxy, deoxy and carbonmonoxy forms. J Mol Biol 360: 690–701.

This course will walk you through a patterns-based approach to building real-world cloud solutions. The patterns apply to the development process as well as to architecture and coding practices.

The concepts are illustrated with concrete examples, and each module includes links to other resources that provide more in-depth information. The examples and the links to additional resources are for Microsoft frameworks and services, but the principles illustrated apply to other web development frameworks and cloud environments as well.

This is part three of a three-course series. New patterns introduced in part 3 include monitoring, telemetry, and designing apps to survive failure.

SO... WHAT DO YOU WANT TO LEARN?

Do you have any burning questions about developing apps for the cloud? Once you enroll, please send your question to DEV202x@microsoft.com. Not only will this help us fine-tune the course content but Tom Dykstra and Rick Anderson will post answer to the most asked questions when the course launches.

Basic concepts of computer programming are introduced, starting with the notion of an algorithm. Emphasis is on developing the ability to write programs to solve practical computational problems.

Topics include:

• Algorithms
• Elements of C/C++ programming languages
• Basic data types
• Sequential and conditional execution
• Iterative solutions
• Arrays, matrices and their applications
• Functions
• Sorting and searching
• Elements of string processing
• Introduction to pointers
• Basics of Software Engineering
• Structures
• File Processing

Learners will read and understand many sample programs, and will have to write several on their own. This course deals with basic programming, and sets the foundation for solid programming practices for beginners.

This course is part of the Fundamentals of Computer Science XSeries Program: 

• Object-Oriented Programming
• Foundations of Data Structures
• Implementation of Data Structures
• Algorithms

Ce cours donne les connaissances fondamentales liées aux fonctions trigonométriques, logarithmiques et exponentielles. Il est articulé autour de 9 chapitres:

1. L'angle et sa mesure
2. Les fonctions trigonométriques sinus et cosinus et leurs inverses
3. Les fonctions trigonométriques tangente et cotengente et leurs inverses
4. Les formules trigonométriques (addition, bissection, etc)
5. Les oscillations harmoniques
6. Les équations trigonométriques
7. Les relations dans le triangle (théorème du sinus, du cosinus)
8. Continuité et dérivabilité des fonctions trigonométriques
9. Les fonctions logarithmiques et exponentielles

Le cours propose une approche très détaillée et précise des notions fondamentales liées aux fonctions trigonométriques, logarithmiques et exponentielles. La présentation des concepts et des propositions est soutenue par une grande gamme de figures et d'animations, ainsi que par des exemples qui illustrent la mise en oeuvre des connaissances acquises.

Ignorance! provides a comprehensive framework for understanding how people think about unknowns, how they deal with them, and even how certain kinds of ignorance are enshrined in cultures and social institutions. We’ll be taking you on a tour through ignorance in all its varieties and guises. Ignorance is everyone’s business. Ignorance is relevant to every discipline and profession, and to everyday life, both at work and at play.

No matter what domain you study or work in, this course will have something to offer to you.

We will explore questions about ignorance such as the following: Where does ignorance come from? How do we impose it on each other, and even on ourselves? And why? We usually think about ignorance as a bad thing, but when can it be preferable not to know something? What uses do people have for ignorance? What roles does ignorance play in social interaction, group relations, institutions, and law? Can ignorance sometimes be a virtue? When can ignorance be good or bad for us? How can we harness the unknown for learning, discovery, and creativity? How can we make good decisions under ignorance?

Your understanding of ignorance will be expanded via online games, discussion forums, opportunities to find out what your own “ignorance profile” is, additional readings, and Wiki materials. There also will be discussion threads specifically for those of you who want to apply understandings about ignorance to complex social and environmental problems. Knowing more about ignorance will help you to manage it and work with it. It also will help you in dealing with the unexpected, with complex problems, and even wicked problems.

“无知！”这门课提供了一个全面的框架以了解人们如何思考未知事物，如何处理未知事物，以及某些无知如何被纳入文化和社会制度。 我们将带你浏览所有种类和伪装下的无知。 无知和每个人都有关，与每一门学科、职业以及日常生活的工作和娱乐都息息相关。

无论你的学习或职业属于什么领域，你都可以从这门课程中得到收获.

我们将探讨有关无知的如下问题：无知从何而来？我们是如何将其强加于彼此甚至是我们自己？这又是为什么？我们通常认为无知是一件坏事，但是在哪些时候不知道太多反而是一件好事呢？人们如何利用无知？无知在社会互动、团体关系、制度和法律中扮演什么角色？无知有可能在某些时候成为一种美德吗？无知在什么时候对我们是好事，什么时候是坏事？我们如何利用未知事物来促进学习、新发现和创造力？ 我们如何在无知的情况下做出好的决定呢？

你对无知的理解将通过网络游戏、论坛、探索自己的“无知个人资料”的机会、附加阅读和维基资料获得扩展。课程里还将有专门针对那些希望将无知理解应用于复杂的社会和环境问题的讨论组。 深入了解无知将有助你管理和对待它。 它也将帮助您处理意想不到的，复杂的，甚至是邪恶的问题。

Despite spectacular recent progress, there is still a lot we don't know about our universe. We don't know why the Big Bang happened. We don't know what most of the universe is made of. We don't know whether there is life in space. We don't know how planets form, how black holes get so big, or where the first stars have gone. This course will take you through nine of the greatest unsolved problems of modern astrophysics. We can't promise you the answers, but we will explain what we do and don't know, and give you an up-to-date understanding of current research. This course is designed for people who would like to get a deeper understanding of these mysteries than that offered by popular science articles and shows. 

This is the first of four ANUx courses which together make up the Australian National University's first year astrophysics program. It is followed by courses on exoplanets, on the violent universe, and on cosmology. These courses compromise the Astrophysics XSeries. Learn more about the XSeries program and register for all the courses in the series today!

We make ethical or behaviour guiding right / wrong judgments all the time but have you ever wondered where Ethics comes from, what it is about and why it is important? This course provides an introduction to traditional Chinese ethical thought and focuses on the pervasive contrast in the way Chinese and Westerners think about ethical guidance or guidance concerning what is right and what is wrong, good or bad.  Traditional Western orthodoxy uses the metaphor of a law – in its most familiar popular form, the command of a supernatural being backed by a threat of eternal punishment or reward – to explain ethical guidance. The Classical Chinese philosophers by contrast were all naturalists. They talked about ethical guidance using a path metaphor – a natural dào.

We will look at two rival directions this natural dào model took in ancient China. The first direction views ethical paths as generated from human sources such as human history and past social practices. The other Confucian version views guidance as arising from a distinctly human guiding organ, something like a combination of our faculties of heart and mind. This organ issues the right/wrong or this/not-that judgements naturally. This internal map to moral choices branches, like a plant, as we mature. The alternative to human-based naturalism in China treated normative guidance as natural in a broader sense, such as the dào of water or one guided by what is beneficial vs harmful. Finally, we will take a brief look at a development after the classical period that resulted from the invasion of the more super-naturalist, Indo-European way of thinking about guidance – Medieval Chinese Buddhism.

Although Chinese concepts will be the focus of our discussion, all the content of this course is intended to be accessible to beginner students. For those who are beginners in Philosophy, we will include a brief introduction to the ideas of logic that further shape the Western metaphor of a law and help us understand its role in Western ethics, science and psychology so you can better understand the different ways these two philosophical metaphors explain where norms of behaviour come from, what they are about and why they are important.

我们常常判断事物的正误，但你是否思考过什么是道德/行为准则，它来自哪里，为什么重要？本课程介绍中国传统道德思想，关注中西哲学关于道德准则、正误、好坏的不同理解。传统西方观念以“法”（即超自然个体的指令以及遵循或违背该指令所意味的奖惩后果）来解释道德准则。与此截然不同，中国古代哲学家们则均为自然主义者，他们以“道”为喻体来讨论道德标准。

本课程重点关注“道”在中国古代沿着两个不同方向竞相演变的过程。一种方向认为道德准则来自于人类历史以及以往社会的实践。另一个方向则认为道德标准源自人本身的一种类似于心脑结合的感官，该感官自然的发出正误、此彼等判断。有如我们内心的一幅导图，像植物一样，随着我们的成长日渐丰茂强大。中国的这种不以人本身为基础的自然主义对待道德准则的方式，从广义角度看待自然，比如水之道，善与恶之道。课程结尾部分我们会简单探讨古代中国之后随着超自然、印欧哲学被引入中国而出现的一个新事物，即中世纪中国佛教。

尽管课程重点讨论的是中国传统哲学思想，不熟悉中国哲学的学生也会发现课程内容浅显易懂。针对哲学初学者，课程包含了关于逻辑这一概念的简单介绍，以及它如何加强西方“法”的概念，以便帮助我们了解“法”在西方道德、科学以及心理学领域的作用，以利于学生更好地了解中西哲学思想间对于行为准则的来源、内容、及其重要性的不同理解。
课程目标：
•    学习描述中国古代哲学思想中的人类与自然观；
•    学习辩证思考中国哲学思想中的人类与自然观，明辨其优缺；
•    反思人类与自然的关系；
•    培养解释说明及分析辩证技巧。

Las economías latinoamericanas han padecido en forma generalizada la falta de crecimiento, así como una gran inestabilidad macroeconómica. Es poco lo que se ha ganado en productividad y ha habido numerosos episodios de recesiones profundas, crisis bancarias, inflación desbordada y escasez de divisas. Todos estos factores afectan la calidad de vida en América Latina. En realidad, solo con mayores niveles de crecimiento sostenido a través del tiempo, es posible pensar que América Latina supere la pobreza y mejore el nivel de vida de la región.

Este curso analiza los principales desafíos que la región enfrenta en cuanto a su crecimiento económico y estabilidad macroeconómica. Los contenidos serán presentados en un lenguaje simple y comprensible para no especialistas en el tema.

Este curso pretende abordar las siguientes preguntas:

• ¿Cuáles son los desafíos que enfrentan los países en América Latina y el Caribe para incrementar sus niveles de inversión privada?
• ¿Por qué la productividad en la región es más baja comparada con la de otras regiones?
• ¿Cuáles son los principales desafíos que enfrenta la infraestructura, sea esta la relacionada con agua y saneamiento básico, el transporte o la energía, para mencionar algunos sectores?
• ¿Por qué los recursos naturales, que abundan en la región, no siempre han dado los resultados esperados para propiciar el desarrollo regional?
• ¿Cómo se origina la inestabilidad económica y las crisis macroeconómicas?
• ¿Cuál es el rol de las políticas monetarias, cambiarias y financieras para alcanzar estabilidad macroeconómica?

La preparación de este curso fue financiada por el Programa Especial para el Desarrollo Institucional (SPID) del Banco Interamericano de Desarrollo. Mayor información en la página web del SPID.

Risk management is a process used for the identification, assessment and analysis of potential risks to an organization or project. This process enables you to develop the most appropriate risk response.

In the Risk Management for Projects course, you will learn the fundamentals of risk management, as well as how to apply a risk management process in a project-based setting. Risk management is an iterative process and you will learn how adopting key procedures can help you maximize opportunities and minimize negative impact on your project objectives.

In this course, you will further upskill through the application of the risk management canvas, which is a framework that enables you to manage risk within your own environment. It will immerse you in the concepts of risk management and help you to apply the key processes.

Practical activities through the course will allow you to apply the knowledge you learn as each week focuses on a key stage of the risk management process. The theories and practices taught in the course can easily be applied to any project, organization or business environment.

Risk Management for Projects is brought to you by the same team that developed the highly successful Introduction to Project Management MOOC, and builds on risk management for projects introduced in that course.

Participating in this course will ensure that you gain the know-how to reduce your project and organizational risk in the future.

In the second part of a two part statistics course, we’ll learn how to take data and use it to make reasonable and useful conclusions. You’ll learn the basics of statistical thinking – starting with an interesting question and some data. Then, we’ll apply the correct statistical tool to help answer our question of interest – using R and hands-on Labs. Finally, we’ll learn how to interpret our findings and develop a meaningful conclusion.

We will cover basic Inferential Statistics – integrating ideas of Part 1. If you have a basic knowledge of Descriptive Statistics, this course is for you. We will learn how to sample data, examine both quantitative and categorical data with statistical techniques such as t-tests, chi-square, ANOVA, and Regression.

Both parts of the course are intended to cover the same material as a typical introductory undergraduate statistics course, with an added twist of modeling. This course is also intentionally devised to be sequential, with each new piece building on the previous topics. Once completed, students should feel comfortable using basic statistical techniques to answer their own questions about their own data, using a widely available statistical software package (R).

This course will consist of:

• Instructional videos for statistical concepts broken down into manageable topics
• Guided questions to help your understanding of the topic
• Weekly tutorial videos for using R
• Scaffolded learning with Pre-Labs (using R), followed by Labs where we will answer specific questions using real-world datasets
• Weekly wrap-up questions challenging both topic and application knowledge

With these new skills, learners will leave the course with the ability to use basic statistical techniques to answer their own questions about their own data, using a widely available statistical software package (R). Learners from all walks of life can use this course to better understand their data, to make valuable informed decisions.

Join us in learning how to look at the world around us. What are the questions? How can we answer them? And what do those answers tell us about the world we live in?

What is sustainability, and how are we active participants in it? How does our individual ‘ecological footprint’ matter among the billions of humans’ footprints on earth? How are we alike and different in our impacts, depending on where we live; and how does civic and governmental attitude impact sustainability and resilience in the future? These questions will be explored on a global, local and personal level in this introductory course. Students will compare and contrast case studies from suburban Seattle to rural, mountainous China and consider their own significant impacts on ecology.

Together, we will go over the concepts of sustainability and resilience, and analyze your impact on our environment. For a global perspective, we will go over a case study of societal impacts. Our emphasis will be on translating theory to individual impact and comprehension.

No previous knowledge is needed. We welcome your voice and look forward to your participation!

ANTH 378x is the first five weeks of the full course offered by the University of Washington online Integrated Social Science bachelor’s completion degree. 

Since the introduction of mass production, the concept of “quality” has evolved from simple assembly line inspections to a broad approach to production and management involving an entire corporation. Quality has become a critical driver for long-term success through continuous process improvement and customer satisfaction. Quality Management today concerns the entire value chain, encompassing multi-tiered supplier networks and customer service and returns.

This business and management course balances the quantitative elements of quality engineering with a managerial approach to using quality in an organization to effect change. We cover the statistical basics needed for a Six-Sigma Green Belt certification, following the well-known process-improvement cycle: Define, Measure, Analyze, Improve, and Control. The most important quality methods and techniques are taught, including sampling, statistical process control, process capability, regression analysis, and design of experiments. Quality management is examined, from the viewpoint of quality incorporated into product design, measuring and controlling quality in production and improving quality, using interactive, guided projects and case studies. The course closes with the presentation of a full Six-Sigma project.

The contents of this course are essentially the same as those of the corresponding TUM class (Quality Engineering and Management) and will enable you to immediately understand and apply quality concepts in your work and research.

WHY TAKE THIS COURSE?

• Quality issues appear everywhere and affect the entire organisation.
• You'll quickly master quality concepts so that you can apply quality tools and drive quality programs within your own organisation.
• You'll gain the fundamentals for a Six-Sigma Green Belt in a manageable and positive learning environment, along with the chance to discuss with staff and fellow learners worldwide.

INQ101x is designed with K-12 teachers in mind. Teacher candidates, higher education instructors, and other educators may also find it relevant. In six weeks, we discuss some of the major themes and challenges of integrating inquiry and technology as a community of practitioners. We collect and share resources and exchange ideas about what works for specific topics and age groups.

This literature course will examine James Joyce’s collection of fifteen short stories called simply Dubliners. This volume was first published in 1914, but not without a struggle. Joyce first submitted these stories to a publisher in 1905, and had it rejected 17 times before it was finally published in 1914. It has become one of the classics of English language literature, despite its rocky beginnings.

Dubliners depicts middle class Irish life in the early part of the 20th century. The first stories are narrated by protagonists who are children. As the stories continue, they examine the lives of characters in increasingly older stages of life. Interestingly, many of the characters who appear in these short stories appear later in minor roles in Joyce’s famous novel Ulysses.
 
Participants in this course will read, discuss, and write about the text and its influence. As in most book clubs, the focus will be on lively discussion. Course materials will include background information for understanding the text, as well as vocabulary and language support. Assessment will include quizzes and short writing assignments.
 
This is the fifth part of the BerkeleyX Book Club offerings.