Online courses directory (1728)

Think about your favourite wine. Imagine the brilliance of its colour in the glass, the ripe fruit aromas on the nose, a hint of toasty oak and lingering tannins on the back palate. Perhaps you like a specific wine, but can’t pinpoint the reason why. The attributes that make wine so enjoyable are achieved through the expertise of viticulturists and winemakers, whose decision-making in the vineyard and winery is underpinned by science – to be precise, viticulture and oenology.

The finer details can take years to learn, but in a matter of weeks this course will give you a broad understanding of the principles and practices used to grow grapes and make wine, and their impact on wine appearance, aroma, flavour and taste. You’ll also gain an appreciation for how cutting-edge research is helping to secure the future sustainability of the global wine industry. Whether you’re a wine novice or a seasoned oenophile,, this course is for anyone who loves wine and wine tasting. You’ll even get to make your own wine-- virtually at least!

Confidently describe wine appearance, aroma, flavour and taste.

This introductory environmental science, environmental engineering and municipal engineering course will explore how physicochemical technology and techniques are applied to water and wastewater treatment. We will explore the basic calculation method, composition of structures and operation characteristics, and the latest advancements in water and wastewater treatment technology. Main physicochemical units, including coagulation and flocculation, sedimentation, flotation, filtration, disinfection, oxidation and reduction, membrane separation and ionic exchange, will be covered.

《水处理工程》是清华大学为环境工程、环境科学、市政工程等相关专业学生开设的主干专业课，包括物化处理技术和生化处理技术两大部分。《水处理工程-物化技术》旨在向学生全面讲授水和废水处理中主要的物化处理技术单元的基本原理和特点、工艺的基本计算方法和应用范围、主要构筑物的构成和运行特点、典型的水与废水处理工艺以及相关技术的国内外最新研究进展。本课程介绍的主要物化技术单元包括：混凝、沉淀与澄清、气浮、过滤、消毒、离子交换、膜分离、氧化还原和吸附。    

1、课程描述

    21世纪以来，互联网金融飞速发展，而中国互联网金融在全世界居于领先地位。互联网金融在改善小微企业融资环境、优化金融资源配置、提高金融体系包容性、发展普惠金融方面的作用性日益重要。

    本课程将系统介绍互联网支付、P2P网络借贷、股权众筹融资、互联网贷款、互联网理财、互联网银行、互联网保险、互联网征信等中国互联网金融模式，以及各种模式的典型案例。课程还邀请中国领先的互联网金融机构的高管对案例进行亲身讲解。

    通过本课程的学习，学生将有以下收获：

    第一，全面了解中国互联网金融的发展，及其对于中国经济社会的积极意义。

    第二，系统掌握中国互联网金融各种业务模式的概念、操作、案例及监管。

    第三，深入理解日常正在使用或将要使用的互联网金融业务（如支付宝、微信支付、余额宝、P2P投资等）的背后原理。

    2、教学大纲

    第1周：互联网金融概述

    主要内容：互联网金融的概念；互联网金融的业务模式；中国互联网金融的发展；大数据是互联网金融的核心；互联网金融的监管。

    第2周：互联网支付

    主要内容：互联网支付的概念；互联网支付的特点；互联网支付的发展；移动支付＋O2O；互联网支付的监管。

    第3周：P2P网络借贷

    主要内容：P2P网络借贷的概念；中国P2P网络借贷的问题；中国特色的P2P网络借贷；P2P网络借贷的发展；P2P网络借贷的监管。

    第4周：股权众筹融资

    主要内容：众筹的类型；产品众筹；股权众筹融资的概念；股权众筹融资的运作；股权众筹融资的本质；股权众筹融资的监管。

    第5周：互联网贷款

    主要内容：互联网贷款的类型；网络小额贷款；互联网消费金融。

    第6周：互联网理财

    主要内容：互联网理财概述；互联网基金销售；一站式综合理财；互联网财富管理。

    第7周：互联网银行

    主要内容：互联网银行的运作；互联网银行的特点；直销银行；互联网银行的监管。

    第8周：互联网保险

    主要内容：互联网保险的概念；保险产品的互联网销售；互联网保险产品；互联网保险公司；互联网保险的监管。

    第9周：互联网征信

    主要内容：征信；互联网征信的运作；互联网征信的监管。

    3、考核方式

    最终成绩由课后作业成绩和期末考试成绩两部分组成。成绩比例为：课后作业50%；期末考试50%。

    课后作业每周一次，包括10道客观题。

    期末考试由40道客观选择题组成。考试时间2小时。

    4、通过标准

    总分达到60分可以获得课程完成证书。

Throughout human history, art has served as a window into current events, traditions, societies and culture. And, Chinese and Western civilizations have produced some of the most famous artworks by world-renowned artists.

This course will examine Western and Chinese art, artists and history. Through exploring immortal works of art, this course will help learners gain insight into our shared history and better understand culture, both past and present.

From an interdisciplinary perspective of art history, aesthetics, intellectual history and cultural history, we will explore spiritual and cultural questions such as “where are we from” and “what is humanity.” The course will present a general overview of Chinese art and Western art, focusing on major works with special attention paid to the comparison between China and the West and between tradition and modernity.

In this course, learners will develop a systematic knowledge of Western and Chinese art history, its artists and aesthetic theories. Students will develop aesthetic judgment, appreciation and a knowledge of humanities, and cultivate their artistic tastes.

Join us as we survey renowned Chinese and Western artists and deepen our understanding and appreciation of art, history and culture.

Zizhi Tongjian is one of the earliest Chinese historiographies spanning nearly 300 volumes and covering 1,300 years of history. Literally meaning “Comprehensive Mirror in Aid of Governance,” Zizhi Tongjian is an annalistic-style history featuring the subjects of politics and the military as the main thread of narration. The collection has been cherished by scholars over numerous dynasties for its historical value and insight into governance, peace and stability.

This guided reading course will help learners deepen their understanding of Chinese history, in addition to applying Zizhi Tongjian’s ancient wisdom to modern-day governance. Because Zizhi TongJian is a rich, expansive text, this course is intended to remove colloquial barriers and help students gain a deeper understanding of Chinese history from Emperor Qin to Caocao and Emperor Taizong.
 
资治通鉴》是北宋司马光主持编纂的著名编年体史书、传统史籍“通鉴体”门类的开山之作。该书以政治、军事为记述主线，上起公元前403年，下迄公元 959年，以294卷、300多万字的篇幅，系统展现一千三百多年间华夏大地波澜壮阔的历史画卷。该书问世以来，不但以其不可替代的史料价值为历代学者所 重视，更以其资政育人、总结历代治乱兴衰之道的根本动机与高卓史识为后世所称道，呈现出超越时空的巨大生命力。然而《资治通鉴》篇幅浩瀚、内容复杂，加以 历史文献自身的时代特点，非文史专业出身的广大青年学生难以通读并领会其要旨。“《资治通鉴》导读”课程作为一门人文通识课程，目的即在于消除专业壁垒， 引导同学近距离感受这部中国伟大史学著作的魅力。课程主讲张国刚教授潜心研读《资治通鉴》数十年，通过精心选取其中的经典人物言行与历史场景，钩沉发覆、 条分缕析，以现代思维总结文化精髓，以生动语言阐发历史智慧，尤其侧重其中修身、齐家、治国的现实意义，以及中西文化之间的历史性比较。通过“《资治通 鉴》导读”课程的学习，同学们不但可对战国至五代之间中国历史发展演化的基本脉络产生较为全面的把握，还可领悟到如何从传统文化汲取现实营养的基本方法， 为将来进一步学习中国文化开辟道路。

Financial decisions and financial management are drivers of business performance and success. Financial data plays a vital role in business strategy, planning, and positioning. Learn the basics of financial statements, the conceptual framework of financial information and its relationship to firms’ strategic positioning and strategy execution.

By completing this course, you will learn how to assess and use financial information to make informed business decisions.

这门课程用财务语言解构企业的价值创造过程，从而帮助学习者理解影响价值创造的各种因素，建立财务思维，并具备将其应用于商业决策的能力。我们将从认识财务报表开始，逐步了解财务信息的架构体系，讨论财务数据与行业、战略定位与战略执行的关系，剖析企业的价值创造过程，在此基础上，讨论如何运用财务数据进行商业决策。

What you'll learn

·       - How to think with a financial mindset

·       - How to use financial knowledge when making business decisions

·       - The basics of financial systems architecture

·       - How financial data plays a role in strategic execution and positioning

·       - 用财务语言解构企业的价值创造过程

·       - 帮助学习者理解影响价值创造的各种因素

·       - 培养将其应用于商业决策的能力

Financial decisions and financial management are drivers of business performance and success. Financial data plays a vital role in business strategy, planning, and positioning. Learn the basics of financial statements, the conceptual framework of financial information and its relationship to firms’ strategic positioning and strategy execution.

By completing this course, you will learn how to assess and use financial information to make informed business decisions.

这门课程用财务语言解构企业的价值创造过程，从而帮助学习者理解影响价值创造的各种因素，建立财务思维，并具备将其应用于商业决策的能力。我们将从认识财务报表开始，逐步了解财务信息的架构体系，讨论财务数据与行业、战略定位与战略执行的关系，剖析企业的价值创造过程，在此基础上，讨论如何运用财务数据进行商业决策。

EX101x is for all of those struggling with data analysis. That crazy data collection from your boss? Megabytes of sensor data to analyze? Looking for a smart way visualize your data in order to make sense out of it? We’ve got you covered!

Using video lectures and hands-on exercises, we will teach you cutting-edge techniques and best practices that will boost your data analysis and visualization skills.

We will take a deep dive into data analysis with spreadsheets: PivotTables, VLOOKUPS, Named ranges, what-if analyses, making great graphs - all those will be covered in the first weeks of the course. After that, we will investigate the quality of the spreadsheet model, and especially how to make sure your spreadsheet remains error-free and robust.

Finally, once we have mastered spreadsheets, we will demonstrate other ways to store and analyze data. We will also look into how Python, a programming language, can help us with analyzing and manipulating data in spreadsheets.

EX101x is created using Excel 2013 and Windows. Most assignments can be made using another spreadsheet program and operating system as well, but we cannot offer full support for all configurations.

The goal of this course is to help you to overcome data analysis challenges in your work, research or studies. Therefore we encourage you to participate actively and to raise real data analysis problems that you face in our discussion forums. 

This course is part of the Data Analysis XSeries.

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.

Have you ever wondered how your favorite mobile applications are developed?

Join us on a gentle journey through the mobile application development landscape, using Android as the platform. Along the way we will learn to use Android Studio, the integrated development environment (IDE) for Android apps. This course is intended for students who have some prior programming experience. The course will introduce you to the basics of the Android platform, Android application components, Activities and their lifecycle, UI design, Multimedia, 2D graphics and networking support in Android.

This course covers the following topics:

• Android platform and the Android Studio IDE
• Android components, Activities and their lifecycle, Intents
• UI Design: Widgets and Layouts, UI Events, Event Listeners
• 2D graphics: Canvas/Drawing using a view
• Multimedia: Audio playback and MediaPlayer
• Network support: AsyncTask, HttpURLConnection

This course is being offered in an experimental format. Students are welcome to audit the course, and participate in all course activities. Certificates will not be issued.

This course is designed to help you become a more effective and confident public speaker. We will demystify the process of writing, practicing, and performing a clear and engaging speech, work through the unique traits of oral versus written communication, and learn how to prepare speeches that are easier to deliver orally and understand aurally.

One of the best ways to refine your own speech ability is through a close study of others' speeches. We will have a number of opportunities to examine and discuss sample speeches and speakers. Growing out of our analysis of speakers, we will discuss who you hold up as a model speaker and analyze what makes that speaker effective. We will critically examine our own speeches and the speeches of others. By becoming a student of public speaking, you join a long history of rhetorical study dating back to ancient Greece.

This course is adapted from a similar class offered by the Bachelor of Arts in Integrated Social Sciences, a fully online degree completion program from the University of Washington.

To help ensure that your learning experience is good, please note that this course is not for beginners or those new to programming. You must have prior programming experience in an object-oriented programming language as there are concepts that are mentioned in the course that are assumed to be prior knowledge and are not explained in detail. If you are new to programming, it is highly recommended that you visit this page to learn some of the fundamentals first.

Learning C# provides a solid foundation in object-oriented programming knowledge, paves the way for learning other programming languages, and positions those who complete this course for a wide variety of in-demand computer programming jobs.  
 
The C# programming language was created to be an object-oriented programming language that offers ease of use, familiarity to C/C++ and Java developers, along with enhanced memory and resource management.  C# is prevalent on the Microsoft platform but is also being used to develop software that runs on Linux, Android, and iOS devices.  
 
This course aims to teach the basics of C# all the way through the advanced features of the language. 
 
This course is not a beginner course on C#, although beginners can still learn a lot from the material. It is intended to provide an introduction to the C# language and the world of .NET programming for existing programmers who need or want to learn more about C# and managed code development.

Chemistry and biology are traditionally taught as separate subjects at the high school level, where students memorize fundamental scientific principles that are universally accepted. However, at the university level and in industry, we learn that science is not as simple as we once thought. We are constantly confronted by questions about the unknown and required to use creative, integrated approaches to solve these problems. By bringing together knowledge from multidisciplinary fields, we are empowered with the ability to generate new ideas. The goal of this course is to develop skills for generating new ideas at the interface between chemistry and biology by analyzing pioneering studies.

When should I register?
Registration will be open throughout the course.

The actions of ordinary people are often absent in studies of urban renewal and urban ecology. Around the world, people who are fed up with environmental degradation and the breakdown of their communities come together to transform blighted vacant lots, trashed-out stream corridors, polluted estuaries, and other “broken places.” Civic ecology practices—such as community gardening, wetlands restoration, river cleanups, and tree planting—are a means for people to express resilience and rebuild communities marked by disaster and disinvestment.

Civic ecology draws on psychology, sociology, political science, education, ecology, and social-ecological systems resilience to understand how and why people care for nature and their communities.

Throughout this course, you will:

• Explore the people, places, and practices that restore nature and revitalize neighborhoods, making a difference in ways big and small.
• Discuss and evaluate contemporary thinking in resilience, social-ecological systems, and the relationship between nature and human/community wellbeing.
• Grasp an understanding of how civic ecology enables those with limited resources to defy and cope with daily struggles, including after disaster and war.
• Acquire the knowledge and skill set to enact change in your own community.
• Participate in a civic ecology service learning project to turn classroom learning into real-life application.

This course is ideal for a learner who is intrigued by both social and environmental concerns, or simply has a desire to dive into an emerging 21st century, cross-disciplinary subject area. You will complete this course with a keener awareness of social-ecological issues and concerns, as well as a greater knowledge of the practical steps required to rebuild and maintain community and nature in a world marked by inequality, conflict, and climate change.

Fundamental topics in electromagnetism: electric charge, electric fields, currents, magnetic fields, and induction.

Cuando hacer las cosas bien no es suficiente, necesitamos convertir la mejora continua en un lema diario para todos los trabajadores de la empresa. Para ello necesitamos conocer técnicas que nos ayuden a realizar esta tarea de manera más sistemática para que, por un lado tengamos mejores resultados y, por otro, no nos dispersemos con las urgencias de un día a día caótico. En este curso, aprenderás a definir problemas/oportunidades, y a convertirlas en un proyecto de mejora.

Descubrirás cómo construir un equipo que se haga cargo de estos proyectos y conocerás y practicaras diferentes técnicas para la resolución de problemas en grupo. Al finalizar el curso serás capaz de participar en grupos de resolución de problemas quesean capaces de mejorar la eficiencia de las organizaciones.

The modern smartphone is enabled by a billion-plus nanotransistors, each having an active region that is barely a few hundred atoms long. Interestingly the same amazing technology has also led to a deeper understanding of the nature of current flow on an atomic scale and my aim is to make these lessons from nanoelectronics accessible to anyone in any branch of science or engineering. I will assume very little background beyond linear algebra and differential equations, although we will be discussing advanced concepts in non-equilibrium statistical mechanics that should be of interest even to specialists.
 
In the first half of this course (4 weeks) we will introduce a new perspective connecting the quantized conductance of short ballistic conductors to the familiar Ohm's law of long diffusive conductors, along with a brief description of the modern nanotransistor. In the second half (4 weeks) we will address fundamental conceptual issues related to the meaning of resistance on an atomic scale, the interconversion of electricity and heat, the second law of thermodynamics and the fuel value of information.
 
Overall I hope to show that the lessons of nanoelectronics lead naturally to a new viewpoint, one that changes even some basic concepts we all learn in freshman physics. This unique viewpoint not only clarifies many old questions but also provides a powerful approach to new questions at the frontier of modern nanoelectronics, such as how devices can be built to control the spin of electrons.
 
This course was originally offered in 2012 on nanoHUB-U and the accompanying text was subsequently published by World Scientific. I am preparing a second edition for publication in 2015, which will be used for this course. The manuscript will be made available to registered students.
 
Sample comments:
From Roald Hoffmann, http://en.wikipedia.org/wiki/Roald_Hoffmann
Cornell University
 "… the pedagogical imperative in research is very important to me, and so I really value a kindred spirit. Your (Datta's) online courses are just wonderful!"
 
From anonymous student in previous offering.
"The course was just awesome .. Prof. Datta's style of delivering lecture is mind-blowing."
 
This course is the latest in a series offered by the nanoHUB-U project which is jointly funded by Purdue and NSF with the goal of transcending disciplines through short courses accessible to students in any branch of science or engineering. These courses focus on cutting-edge topics distilled into short lectures with quizzes and practice exams.

If you’re interested in data analysis and interpretation, then this is the data science course for you. We start by learning the mathematical definition of distance and use this to motivate the use of the singular value decomposition (SVD) for dimension reduction and multi-dimensional scaling and its connection to principle component analysis. We will learn about the batch effect: the most challenging data analytical problem in genomics today and describe how the techniques can be used to detect and adjust for batch effects. Specifically, we will describe the principal component analysis and factor analysis and demonstrate how these concepts are applied to data visualization and data analysis of high-throughput experimental data.

Finally, we give a brief introduction to machine learning and apply it to high-throughput data. We describe the general idea behind clustering analysis and descript K-means and hierarchical clustering and demonstrate how these are used in genomics and describe prediction algorithms such as k-nearest neighbors along with the concepts of training sets, test sets, error rates and cross-validation.

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

Imaging technologies form a significant component of the health budgets of all developed economies, and most people need advanced imaging such as MRIs, X-Rays and CT Scans (or CAT Scans) during their life. Many of us are aware of the misinformation sometimes offered in TV dramas, which either exaggerates the benefits or overemphasizes the risks.

This medical imaging course provides an introduction to biomedical imaging and modern imaging modalities. The course also covers the basic scientific principals behind each modality, and introduces some of the key applications, from neurological diseases to cancers. This course includes modules specially designed for the general public, whilst also providing some advanced modules which could contribute to professional development in health, engineering and IT industries.

This course is offered in an experimental format. Students are welcome to audit the course, and participate in all course activities. Certificates will not be issued.

Many early childhood educators report feeling ill equipped to meet the needs of children with challenging behavior and frustrated in their attempts to develop safe and nurturing early learning environment. If you work with young children, you are not alone in your feelings! Increasing evidence suggests that an effective approach to addressing problem behavior is the adoption of a model that focuses on promoting social-emotional development, providing support for children’s appropriate behavior, and preventing challenging behavior. In this class, you will learn a framework for addressing the social and emotional development and challenging behavior of young children.

The overarching goal of this course is to learn evidence-based practices to support the social and emotional development of infants and young children. We will read current research on the developmental trajectory of children with early-onset aggressive behaviors; positive behavior support program models; and intervention efforts that promote positive early childhood mental health. Evidence-based classroom management skills will also be studied and you will leave the course with a solid understanding of how to design supportive environments. This course incorporates a community with which you can learn from others, share your own current approaches and discuss your attempts to incorporate the learnings of this course into your early childhood practice.

Android es la plataforma libre desarrollada por Google, ampliamente utilizada en multitud de dispositivos como móviles, tabletas, TV, wearables e Internet de las cosas. Su expansión ha sido espectacular, siendo el S.O. más utilizado en la actualidad. Tras realizar este curso conocerás los fundamentos del desarrollo de aplicaciones en Android y podrás realizar sencillas aplicaciones, que incluyan los aspectos más importantes y novedosos de esta plataforma.

A lo largo del curso se desarrolla una aplicación de ejemplo, "Mis Lugares Favoritos", que nos permitirá almacenar fotografía, posición geográfica, valoración y otros datos de los lugares que más nos gustan. El curso se introducen los siguientes aspectos: repaso de Java, visión general de Android, entorno de desarrollo (Android Studio), Interfaz de usuario (vistas, Layouts, recursos, barra de acciones, preferencias, RecyclerView, Fragments...), actividades, intenciones, seguridad, posicionamiento, mapas y bases de datos.

In this education and teacher training course we will explore effective teaching methods for biology. We will emphasize approaches proven to be effective and show you how to implement them. We will also give you the opportunity to reflect on your own teaching experience and exchange ideas and share challenges with other learners in the course.

We will begin by looking at the most common method of teaching science, the lecture. We’ll discuss what the lecture method does well and look at data that illustrates when it is less effective. You will hear highly successful teachers talk about their experience with lecture and how they modified their lecture time to more actively engage students. We’ll investigate creating learning objectives and how they can be used to communicate your expectations to students. You will practice writing your own learning objectives and see how they can streamline exam construction. We’ll look at a variety of ways to include active learning during class time, discuss how active learning strategies support your learning objectives, and give you practice developing learning activities for biology topics you find challenging to teach. 

Lastly, we’ll look at how to use resources for student learning outside of class, and how to know that your students have successfully learned from both in-class and outside of class activities.

Our course is designed for instructors, or instructors-to-be, of undergraduate-level biology. High school instructors of AP Biology, post-doctoral fellows and graduate students looking ahead to teaching should find the course useful. The course can serve as a means of professional development. There are no pre-requisites, although prior satisfactory completion of a college biology course is highly recommended.