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E.g., 2017-01-20
E.g., 2017-01-20
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Jan 24th 2017

Mandarin Chinese 1: Chinese for beginners is a beginner's course of Mandarin Chinese. It uses lectures, short plays, interactive exercises and cultural tips to help learners build fundamental capability of oral Chinese in real-life situation.

Average: 6.5 (4 votes)
Jan 23rd 2017

What is the Internet of Things? What is augmented reality? This course deals with the new emerging technologies of IoT (Internet of Things) and AR (Augmented Reality).

Average: 4 (3 votes)
Jan 23rd 2017

Since Antiquity, scholars have appreciated the importance of communication: as social beings, we cannot exist without communication. We need to interact with people around us, to make sense of the world and to position ourselves in a wider social and cultural reality. In this course, we look at how and why communication evolved as a science and reflect on today’s dominant paradigms. The course also extends beyond the boundaries of communication science itself, exploring dimensions of history, sociology and psychology. Join our class, together with people all over the world.

Average: 5.3 (10 votes)
Jan 23rd 2017

This course examines how digital tools, such as the Internet, smartphones, and 3D printing, are revolutionizing the world of marketing by shifting the balance of power from firms to consumers. Marketing in a Digital World is one of the most popular courses on Coursera and has attracted over 100,000 Learners.

Average: 2.6 (8 votes)
Jan 23rd 2017

拍微电影,没什么必须要走的路,可以从任何地方起步。但起步之前,需要对拍微电影有个较为正确的认知。 拍微电影,很多人以为是关于“拍”的问题,而实际上,“拍”只是一个关于微电影实现的动作而已,好比露在水面上的冰山上一角,只是冰山庞大山体的很小部分。拍微电影这座冰山,更多的是关于“拍什么”、“怎么拍”这些隐藏在水面之下不为大多数人知道的真正内涵所在。所以,本课程从水面上可见的冰山一角——“拍”开始,逐渐深入水面之下,挖掘“拍什么”、“怎么拍”的问题,揭开冰山的真相。

Average: 7 (1 vote)
Jan 23rd 2017

This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data.

Average: 7.2 (5 votes)
Jan 23rd 2017

Aprende los elementos esenciales necesarios para empezar a tocar la guitarra acústica o eléctrica. Aprenderás un enfoque fácil que te hará tocar rápidamente a través de una combinación de la exploración del instrumento, la técnica de ejecución y la teoría básica de la música.

Average: 2.7 (3 votes)
Jan 23rd 2017

In this six-modules course you will learn how firms behave in situations in which strategic decisions are interdependent, i.e. where my actions affect my competitors' profits and vice versa. Using the basic tools of game theory, we will analyze how firms choose strategies to attain competitive advantage.

Average: 5.8 (4 votes)
Jan 23rd 2017

本課程之教學內容以希臘哲學之發展為主,並輔以哲學對人生意義之說明。希臘哲學是西洋哲學的骨幹,呈現西方人思維的核心理念,不但足以解釋今日之西方世界,甚至可以說明全世界的發展趨勢。本課程以希臘哲學為教學之主幹,分為先蘇哲學、詭辯學派、蘇格拉底、柏拉圖、亞理斯多德五個階段。教學的方式以強調他們之間的不同與相同的部分。課程將以演講的方式進行,揉合日常經驗作說明,並不時地會以整體的角度回頭看希臘哲學在今日哲學與社會所扮演的角色。

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Jan 23rd 2017

刑法是规定犯罪与刑罚的法律。刑法学是研究刑法的科学,主要研究犯罪的成立条件以及刑罚的种类与适用刑法的制度等问题。本课程的主要目的是简明完整地说明现代刑法学总论的基本概念、基本理论与基本方法,包括的主要内容有刑法与刑法学的基本概念,刑罚的正当性,罪刑法定原则,刑法解释,刑法的适用范围,犯罪与犯罪构成的概念,犯罪构成的主要内容,排除犯罪的根据,犯罪的未完成状态,共同犯罪,刑罚的概念与体系,量刑制度,数罪并罚,缓刑、减刑与假释。本课程通过理论说明与案例分析对有关问题进行讲解,鼓励同学们通过刑法发展来认识刑法的生命,通过刑法比较来认识刑法的国际标准,通过确立刑法理想来追求社会的公平正义。

Average: 9 (1 vote)
Jan 23rd 2017

Foundations of Teaching for Learning is a program of study primarily for people who are currently teaching but have had no formal teacher education. This course is an introductory one that considers the three domains of being a teacher: Professional Knowledge and Understanding; Professional Practice; and Professional Values, Relationships and Engagement.

Average: 8.3 (12 votes)
Jan 23rd 2017

Managing a company in the food and beverage industry is a fascinating task. Food and beverage products are so deeply rooted in the culture of most countries that making and selling them is not only a matter of making and selling good and tasty products, but products that nurture people's body, soul, and heart. Given this, it's not difficult to see that the task quickly becomes complex.

No votes yet
Jan 23rd 2017

Myths are traditional stories that have endured over a long time. Some of them have to do with events of great importance, such as the founding of a nation. Others tell the stories of great heroes and heroines and their exploits and courage in the face of adversity. Still others are simple tales about otherwise unremarkable people who get into trouble or do some great deed. What are we to make of all these tales, and why do people seem to like to hear them? This course will focus on the myths of ancient Greece and Rome, as a way of exploring the nature of myth and the function it plays for individuals, societies, and nations. We will also pay some attention to the way the Greeks and Romans themselves understood their own myths.

Average: 8 (2 votes)
Jan 23rd 2017

Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.

Average: 7.6 (29 votes)
Jan 23rd 2017

This course is designed for classroom teachers who juggle time-sensitive tasks and often-exhausting teaching schedules.

Average: 5.6 (12 votes)
Jan 23rd 2017

Get an overview of the data, questions, and tools that data analysts and data scientists work with. This is the first course in the Johns Hopkins Data Science Specialisation. In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, Github, R, and Rstudio.

Average: 4.1 (21 votes)
Jan 23rd 2017

Professor Robert Shiller, 2013 Nobel Prize winner in Economic Sciences, explores the topic of Financial Markets in this eight module course.

Average: 10 (1 vote)
Jan 23rd 2017

This course gives you easy access to the invaluable learning techniques used by experts in art, music, literature, math, science, sports, and many other disciplines. We’ll learn about the how the brain uses two very different learning modes and how it encapsulates (“chunks”) information. We’ll also cover illusions of learning, memory techniques, dealing with procrastination, and best practices shown by research to be most effective in helping you master tough subjects.

Average: 5.8 (92 votes)
Jan 23rd 2017

Master the technical skills needed to analyze financial statements and disclosures for use in financial analysis, and learn how accounting standards and managerial incentives affect the financial reporting process. By the end of this course, you’ll be able to read the three most common financial statements: the income statement, balance sheet, and statement of cash flows.

Average: 4.4 (30 votes)
Jan 23rd 2017

Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data.

Average: 5.4 (13 votes)

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