Online courses directory (1728)

Our lives are full of combinations. Combinatorial mathematics is just the science to deal with combinations of discrete items. As an ancient field, the history of combinatorial mathematics can be traced back over 4000 years to the age of the Great Yu in ancient China. Today, combinatorial mathematics is regarded as the basis of computer science since the algorithms in programming heavily rely on the analysis of the discrete elements.

FAQ

I don’t speak Chinese, can I learn the course?

All the materials are in English. Though the original video was recorded in Chinese, the course team record the corresponding dubbing in English. All the audio and subtitles are processed to fit the English dubbing as much as possible, so that you can enjoy this wonderful course in English.

What are the textbook and the reference books for this course?

There is no textbook requirement for this course. The handouts distributed every week are critical. The following books are references

• Richard A. Brualdi; Introductory Combinatorics (5^th edition), Pearson, 2009
• J.H.van Lint and R.M. Wilson; A course in Combinatorics, Cambridge University Press, 2001
• 卢开澄,《组合数学》第四版,清华大学出版社

What is the grading breakdown?

• 70% quizzes and exercises
• 30% final exam

How can I get the certificate?

If your final score is no less than 60.

Do I need to know how to program to learn this class?

Not necessary. This course is a math course which is based on fundamental theory. But to help the students to have the intuitive feel of the effects of the theory, we also provide a code lib that you can compare different implementations by running different programs.    

Data structures play a central role in computer science and are the cornerstones of efficient algorithms. Knowledge in this area has been at the kernel of related curriculums. This course aims at exploring the principles and methods in the design and implementation of various data structures and providing students with main tools and skills for algorithm design and performance analysis. Topics covered by this course range from fundamental data structures to recent research results. "Data Structures and Algorithm Design Part I" is an introductory course focusing on basic data structures, including vectors, lists, stacks, queues, binary trees, and graphs. They are important in programming practice, as well as fundamental to our advanced course: "Part II."

数据结构是计算机科学的关键内容，也是构建高效算法的必要基础。其覆盖的知识，在相关专业的课程体系中始终处于核心位置。本课程旨在围绕各类数据结构的设 计与实现，揭示其中的规律原理与方法技巧；同时针对算法设计及其性能分析，使学生了解并掌握主要的套路与手法。讲授的主题从基础的数据结构，一直延伸至新 近的研究成果。本学期的数据结构（上），是数据结构的入门课程，着重讲解向量、列表、栈、队列、二叉树、图等基本的数据结构，它们不仅本身具有重要实用价值，而且为学习后续课程“数据结构（下）"提供了基础。更多介绍详见：http://dsa.cs.tsinghua.edu.cn/~deng/ds/mooc/，或加入本课之后查看FAQ栏目。

To succeed in an ever-changing and competitive marketplace, organizations must effectively manage all of their human capital. The challenge is how to engage a workforce that is highly diverse, global, and multigenerational.

This course will review the “new normal” demographic and global trends shaping labor markets. You will also learn about challenges you may face when managing workers from different cultures, and others who have different values and preferences. Lastly, you will learn how to create a toolkit for motivating and engaging all workers to help organizations achieve their strategic outcomes.   

This course is offered as a collaboration by IEEE and the Rutgers School of Management and Labor Relations.

Vous voulez apprendre l'algèbre linéaire, un précieux outil complémentaire à vos connaissances acquises durant vos études en économie, ingénierie, physique, ou statistique? Ou simplement pour la beauté de la matière? Alors ce cours est fait pour vous! Outre remplir le rôle d'outil dans les différentes branches mentionnées ci-dessus (permettant la résolution de problèmes concrets), l'algèbre linéaire, qui capture l'essence des mathématiques -à savoir, l'algèbre et la géométrie- vous introduira au monde plus abstrait des mathématiques.

Proposé comme complément de cours aux ingénieurs de première année à l'Ecole Polytechnique Fédérale de Lausanne, ce MOOC (composé de trois parties) n'en est pas moins un cours à part entière et peut être considéré comme une base solide d'algèbre linéaire pour tout étudiant intéressé par l'apprentissage de cette matière.

Bien que les vidéos constituent le coeur du cours, des exercices de type QCM (Questions à choix multiples) ainsi que des séries au format PDF seront disponibles chaque semaine, ainsi que des corrigés appropriés. Plus précisément, les séries d'exercices seront accompagnées d'un corrigé au format PDF et certains problèmes bénéficieront d'une correction détaillée en vidéo, dans laquelle l'un des enseignants présentera la solution, étape par étape. Finalement, chaque vidéo de cours sera suivie d'un quiz, dont le but est de tester le degré d’assimilation des connaissances acquises.

Le cours est organisé en dix chapitres dans lesquels une approche très détaillée des concepts théoriques est proposée, ainsi que de multiples exemples illustratifs :

1. Systèmes d'équations linéaires.
2. Algèbre matricielle.
3. Espaces vectoriels.
4. Bases et dimensions.
5. Applications linéaires.  
6. Matrices et applications linéaires.
7. Déterminants.
8. Vecteurs propres, valeurs propres, diagonalisation.
9. Produits scalaires et espaces euclidiens.
10. Matrices orthogonales et matrices symétriques.

Cette deuxième partie du cours sera dévouée à l'étude des chapitres 5 à 8 cités plus haut. Une bonne connaissance de la matière enseignée dans le MOOC Algèbre Linéaire (Partie 1) est requise. Aussi, il est conseillé de travailler régulièrement et de manière assidue, de façon à ne pas prendre de retard lors de l'apprentissage de la matière. 

The goal of this course is to explore and develop plans of action for improving the job and career opportunities for today and tomorrow’s workforce. At this time, there aren’t enough good jobs or educational opportunities in the U.S. or globally to meet the aspirations and needs of all who want and need to work or to deliver on the expectation that every generation should achieve a higher standard of living for themselves and their families than their parent’s generation. This is a fundamental ideal that drives people all over the world. In the U.S., we call it the American Dream.

If we take the right actions, we can shape the future of work in ways that meet the needs of workers, families, and their economies and societies. To do so, we first have to understand how the world of work is changing, how firms can compete and prosper and support good jobs and careers, and how to update the policies and practices governing the world of work.

We also have to understand and better address the deep divisions and inequalities in societies that threaten the future of our economies and democracies. We will address these by using the materials from the course to build a new social contract across business, labor, government, and education.  You will shape the features of the new social contract as we go through the course and then vote on how well the overall social contract generated by the class meets your expectations for the future.

In this business and management course, we’ll start by tracing the history of work and employment that has made the economy work so well in the past. And we’ll uncover what’s gone wrong, in order to figure out new solutions that fit today’s workforce, economy, and society. We’ll also take you on a personal journey, where you will learn what employers expect in today’s world of work—the skills, flexibility, and knowledge that are crucial for success in the contemporary workplace. We’ll examine what has to happen in order for employers, workers, governments, and regulators to come together to forge new policies, rules, and understandings for governing the world of work in the 21st century. We’ll make this all come alive by highlighting the experiences, contributions, and aspirations of real people who are working right now to address these challenges.

So join us, and let’s get started on shaping the future of work.

Graphene is the world’s first 2-dimensional material and is the thinnest, strongest, and most flexible material known to exist. Graphene, a special form of carbon,,can conduct electricity and heat better than anything else. In this electronics course, we will introduce you to the exciting world of graphene science and technology. You will learn about the fundamentals of graphene and how this material offers new insights into nanotechnology and quantum physics. You will also learn about emerging practical applications for graphene. Topics covered include material properties, electronics, physics, physical chemistry, synthesis and device fabrication and application.

Graphene offers a wealth of potential future applications; in composites, solar cells, sensors, superchargers, etc. The list is endless. This course takes a closer look at the particular potential graphene offers within electronics, e.g. optoelectronic devices using graphene produced via chemical vapor deposition (CVD), an industrially compatible technique.

This course content was developed at Chalmers University of Technology who is the coordinator of the Graphene Flagship, EUs biggest research initiative ever. At the Chalmers Graphene Centre research and industry cooperate in the field to achieve interplay and synergies.

In order to benefit fully from this course you should have an adequate knowledge of general physics and university level mathematics.

Perhaps no story is as essential to get right as the history of capitalism. Nearly all of our theories about promoting progress come from how we interpret the economic changes of the last 500 years. This past decade’s crises continue to remind us just how much capitalism changes, even as its basic features—wage labor, financial markets, private property, entrepreneurs—endure. While capitalism has a global history, the United States plays a special role in that story. This course will help you to understand how the United States became the world’s leading economic power, revealing essential lessons about what has been and what will be possible in capitalism’s on-going revolution.

FAQ

Do I need to have taken economics before?
No. Though there will be discussion of economic ideas, professors will assume no prior economic training.

I am not familiar with American history, but I am interested in how capitalism works. Can I take this course?
Yes. We will have relevant links to helpful background material for each section that should make it possible for those with no knowledge of U.S. history to take the class.

Is this class about economic thought like Smith, Marx, Ricardo, Hayek, etc.?
This class is primarily about what actually happened rather than theories of what happened. While we will touch on important economic thinkers, this class will focus more on the people and institutions that developed capitalism in the United States. If you want to know how capitalism works and came about, this is the class for you.

Will certificates be awarded?
Yes. If you complete the work and achieve a passing grade in the course, you can earn a Honor Code Certificate, which indicates that you have completed the course successfully. Certificates will be issued by edX under the name of CornellX, designating the institution from which the course originated.

What will help me complete this course?
We have found that the best help you can get is other people in the real world. Enlist friends, co-workers, family, and other people to take the class with you. Ask your friends on Facebook or Twitter. Arrange a time during a lunch break or an evening to discuss the week’s videos and readings. Think of this “MOOC club” like a book club! You will get more out of the material and be much more likely to finish.

I want to read more about American Capitalism!
Professors Baptist and Hyman just wrote a course reader expressly for this MOOC (though it is also being taught at Cornell University).

Containing every reading from the MOOC, as well as additional readings from leading scholars (that could not be had for free!), this course reader provides the student with more background for every topic.

Each reading is introduced and discussed by the professors. Each reading, as well, has additional questions for the student to discuss with their friends.

Are there prerequisites?

This course is designed to be accessible for people without a strong background in U.S. history. Nevertheless, we make reference to many people, locations, events, or developments that may be unfamiliar to some students. Below are sources for additional information.

Wikipedia is a very helpful source for a quick definition or description of most of the material in this course. It can help you answer most factual questions you might have.

Digital History is a website that can serve as an online text book if you need a stronger grounding in U.S. history.

For more difficult questions, you can post a question on the discussion board where your fellow students may be able to help you.

An e-book has been designed for this class, containing all the readings and some additional essays by leading scholars in the history of capitalism, including the professors. American Capitalism: A Reader [Kindle Edition] Amazon.com.

In this macroeconomics course, you will improve your skills in macroeconomic policy analysis and learn to design an economic and financial program, using real economic data. The financial programming exercise simulates what IMF (International Monetary Fund) desk economists routinely do in their country surveillance and program work.

In the first part of the course (modules 1–7), you will analyze the economic outlook of a country case and then help to build a baseline scenario — namely, a set of projections for the main macroeconomic sectors (real, external, government and monetary) that reflects the analyst’s best guess of what will happen to the economy in the coming year, assuming no policy change.

In the second part (modules 8–10), you will learn and discuss how macroeconomic policies can be used to address poor performance and reduce macroeconomic imbalances. We will illustrate the workings of monetary, fiscal and exchange rate policies by using a simple Keynesian model of an open economy. In the final module you will design an IMF–supported lending program scenario for our country case.

Financial Programming and Policies, Part 2 is offered by the IMF with financial support from the Government of Japan.

La Universidad del Claustro de Sor Juana, que tiene el privilegio de ocupar el ex Convento de San Jerónimo, desde su fundación ha asumido como vocación y compromiso, promover y difundir el conocimiento de la vida y de la obra de Sor Juana así como del mundo virreinal. Este curso tiene como propósito brindar un acercamiento a los interesados. El objetivo primordial de este material es dar al participante una muestra de la producción de la autora novohispana; de su vida y su tiempo.

This course covers topics in a traditional AP Chemistry sequence. It includes modern atomic theory, periodic table and trends, stoichiometry, bonding, molecular structure, kinetics, thermodynamics, equilibrium, acids and bases, gases, liquids and solids, electrochemistry and solubility. The material which includes video lectures, practice questions and review exams may be used for self-study by students and teachers. This is a self-paced, asynchronous course. The course material will be released on a weekly basis. It is meant to be a great resource without heavy staff support or involvement. This means that students can proceed through the material at a pace that suits their personal schedule. While students are welcome to interact with fellow students on the discussion boards, there are no opportunities to interact with the course staff directly.

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

This course was funded in part by the Wertheimer Fund.

* Advanced Placement and AP are registered trademarks of the College Board, which was not involved in the production of, and does not endorse, these offerings.

CSAP.1x  covers the material of AP Computer Science A which is equivalent to a first-semester, college-level course in computer science. This highly interactive course will introduce students to the fundamental concepts of computer science. The course will be structured to encourage students to think computationally and enjoy problem solving. New York City’s companies, museums, art and architecture will be used as examples to emphasize the ubiquitous role of computing and programming concepts in the world around us.

The course will delve into object- oriented problem solving and design using the Java  programming language. Students will have access to practice problems that will help them learn to program without spending hours on finding and fixing syntax errors. These will include online multiple-choice questions in the style of those on the AP exam, mixed-up code that the user drags into the correct order, fill in the blank code and audio tours of the code.

Topics include problem solving, programming design strategies and  data structures, algorithms, role of computation in real-world applications like smart phones, google glass and robots. This material may be used for self-study and as a preview by students and teachers considering the September 2015 offering of the course.

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

*Advanced Placement and AP are registered trademarks of the College Board, which was not involved in the production of, and does not endorse, these offerings.

Taught by instructors with decades of experience on Wall Street, Electronic Trading in Financial Markets is a comprehensive study of the impact of technology on financial market systems.

This economics and finance course provides students with a foundation in market structure (what is ‘liquidity?’) before building to introduce electronic trading fundamentals (order books) and advanced electronic trading techniques (algorithmic trading). Learners will study the history of technology in markets, the details of electronic trading protocols and the impact of innovation on market structure.

This course is broken down into 6 modules:

• Module 1: Fundamentals of Market Structure
• Module 2: Fundamentals of Electronic Trading
• Module 3: Mechanics of an Order Book
• Module 4: Advanced Electronic Trading
• Module 5: Electronic Trading in Fixed Income
• Module 6: Innovation Guidelines

Upon completion of this course, participants will receive a certificate bearing the New York Institute of Finance (NYIF) name. A NYIF certificate, highly valued in the financial industry, will bolster a resume or LinkedIn profile and prove the skills you’ve gained to potential employers.

What is the structure and purpose of the FED? How does its action impact not just the US economy, financial institutions, but individual investors and savers alike? Are you aware of the relationship between the federal government and the Federal Reserve (FED)? Are you familiar with the federal open market committee (FOMC) and know what distinguishes it from the FED. This is the course for you!

The Federal Reserve is more than a 100 years old today and is the central banking system of the United States. As an institution, the FED’s decisions and policies impact our economy and our lives every single day.

With Europe and other countries now imitating and initiating Quantitative Easing measures that the US Fed has ALREADY implemented, the FED's impact and influence are truly global is nature.

By the end of this course, you should:  

• Recognize the role and structure of the Federal Reserve (FED).
• Recognize the role and structure of the Federal Open Market Committee (FOMC).
• Define interest rate terminology:
  • FED Fund Rate
  • Discount Rate (Window)
  • London Interbank Offered Rate (LIBOR)
• Identify the economic initiatives undertaken by the FED:
  • Troubled Asset Relief Program (TARP)
  • Quantitative Easing I, II, and III
• Recognize how the FED controls, owns, and manipulates the short end of the Yield Curve.
• Get familiarized with the product called Repurchase Agreement (Repo) and Reverse Repo.
• Recognize the process by which the Federal Reserve facilitates the fine-tuning of cash in the market using Repurchase Agreement (Repo).

Do you want to become a better problem solver?

This Java course will provide you with a strong understanding of basic Java programming elements and data abstraction using problem representation and the object-oriented framework. As the saying goes, “A picture is worth a thousand words.” This course will use sample objects such as photos or images to illustrate some important concepts to enhance understanding and retention. You will learn to write procedural programs using variables, arrays, control statements, loops, recursion, data abstraction and objects in an integrated development environment.

This course is comprised of two 5-week parts. Part 1 introduces programming fundamentals. Part 2 covers additional advanced topics.

Introduction to the ways that business is related to, and interacts with, individuals, groups and institutions in the current U.S. environment. This course provides the terminology and concepts of the functional areas of business, setting the foundation for interpreting and analyzing the legal, social and ethical issues facing business today. Learners will gain a basic overview of the financial system, including sources of business financing and various types of financial statements.
 
This course was developed and is being offered by Anne Arundel Community College through OECx.
 
All course content is openly licensed under a Creative Commons Attribution license. You are free to translate, modify and repurpose course materials as long as you provide attribution to the course authors. For more information on Creative Commons licenses, please see http://creativecommons.org/about/license/

Interested in learning how mobile smartphones and tablets convert digital information to and from electromagnetic signals in the radio frequency (RF) spectrum? Curious how radio designers and spectrum regulators avoid harmful interference within a network or among different wireless services? Debating whether television (TV) band spectrum or cellular spectrum is more valuable to society?  Want to build a radio transmitter and receiver, or develop a business plan for a wireless network deployment in your hometown?  Then sign up for "Understanding Wireless" today!
 
This survey style course offers an opportunity to gain understanding of the technical, regulatory, and economic aspects of the mobile wireless revolution and its impact on society.  The course is intended for a broad audience, from engineers to business majors to aspiring lawyers, but students will be most comfortable if they are not intimidated by early-college mathematics.
 
The instructors aim to expose the intricate physics, infrastructure, industry segments, markets, and radio frequency (RF) spectrum challenges behind today's popular smart phones and tablets, and to challenge students to participate in fueling the future growth of these technologies as well as their applications. The course will include such topics as the electrical transmission of information, the physical propagation of radio signals, the principles and challenges of sharing a common medium, standards and patents, spectrum licenses and auctions, privacy and security issues, and societal impact of wireless communication services and applications.

In addition to directed readings, video sessions, and learning exercises, students taking the course for a certificate will be required to take several quizzes and, in the last two weeks of the course, to develop a project selected from one of several options. We are excited to introduce you to the myriad aspects of the wireless revolution and to explore with you how wireless is changing today’s society.

The University of Notre Dame's Office of Digital Learning is sponsoring a final project competition for "Understanding Wireless" learners located in the United States and Canada. Qualified participants will design and submit a project plan to use wireless technology to improve their local community (town, school, local government, etc.), applying the knowledge and experience they have gained in the course.

This five-week course will help you identify reliable information in news reports and become better informed about the world we live in. We will discuss journalism from the viewpoint of the news audience.

Together, we will examine the following topics:

• What makes news? The blurred lines between news, promotion and entertainment.
• Why does news matter? Social sharing and the dynamics of the news cycles.
• Who provides information? How to evaluate sources in news reports.
• Where is the evidence? The process of verification.
• When should we act? Recognizing our own biases.
• How do we know what we know? Becoming an active news audience.

If you are interested in becoming a more discerning news consumer, please join us and sign up today.

This electronics course will focus on the physics of biomolecule detection in terms of three elementary concepts: response time, sensitivity, and selectivity. We will use potentiometric, amperometric, and cantilever-based mass sensors to illustrate the application of these concepts to specific sensor technologies. Learners in this course will be able to decide what sensors to make, appreciate their design principles, interpret measured results, and spot emerging research trends.

This electronics course is the latest in a science and engineering series offered by the nanoHUB-U project, which is jointly funded by Purdue University and the National Science Foundation. 

¿Qué se entiende por gestión para resultados en el desarrollo?

¿Cuáles son los componentes del ciclo de gestión pública que aborda la gestión para resultados en el desarrollo?

¿Cuáles son los principales desafíos en América Latina y el Caribe para la implementación de la gestión para resultados en el desarrollo?

¿Cuál es el rol de los funcionarios públicos y cuál es el rol de la ciudadanía en la gestión para resultados?

Este curso da respuesta a las anteriores preguntas y, a modo de introducción, brinda el marco conceptual de la gestión para resultados en el desarrollo en los gobiernos subnacionales.

Los países de América Latina y el Caribe enfrentan considerables desafíos de la gestión pública, tales como el diseño de políticas públicas que tengan en consideración los puntos de vista de los diferentes actores; las demandas ciudadanas y los escasos recursos disponibles; la asignación de los recursos financieros; la calidad de los servicios públicos o el seguimiento y la evaluación de la gestión, entre otros.

La gestión para resultados en el desarrollo y su enfoque de gerencia contribuyen al abordaje de estos desafíos mediante el tratamiento integral de las distintas etapas del ciclo de la gestión pública, el uso de la información para la toma de decisiones y el empleo de múltiples instrumentos y metodologías.

This course is part of the Microsoft Professional Program Certificate in Data Science.

If you’re considering a career as a data analyst, you need to know about histograms, Pareto charts, Boxplots, Bayes’ theorem, and much more. In this applied statistics course, the second in our Microsoft Excel Data Analyst XSeries, use the powerful tools built into Excel, and explore the core principles of statistics and basic probability—from both the conceptual and applied perspectives. Learn about descriptive statistics, basic probability, random variables, sampling and confidence intervals, and hypothesis testing. And see how to apply these concepts and principles using the environment, functions, and visualizations of Excel.

As a data science pro, the ability to analyze data helps you to make better decisions, and a solid foundation in statistics and basic probability helps you to better understand your data. Using real-world concepts applicable to many industries, including medical, business, sports, insurance, and much more, learn from leading experts why Excel is one of the top tools for data analysis and how its built-in features make Excel a great way to learn essential skills.

Before taking this course, you should be familiar with organizing and summarizing data using Excel analytic tools, such as tables, pivot tables, and pivot charts. You should also be comfortable (or willing to try) creating complex formulas and visualizations. Want to start with the basics? Check out DAT205x: Introduction to Data Analysis using Excel. As you learn these concepts and get more experience with this powerful tool that can be extremely helpful in your journey as a data analyst or data scientist, you may want to also take the third course in our series, DAT206x Analyzing and Visualizing Data with Excel. This course includes excerpts from Microsoft Excel 2016: Data Analysis and Business Modeling from Microsoft Press and authored by course instructor Wayne Winston.

This course is also part of the Microsoft Excel for the Data Analyst XSeries.