Online courses directory (19947)
In this course, you will gain an understanding of time-honored financial concepts and rules, and how these can be applied to value firms, bonds, and stocks.
We will cover the time value of money, cost of capital and capital budgeting. You will be using Excel for many process including valuing bonds and stocks, computing NPV and finding IRR.
An introductory finance course that is required for all first-year MBA students at Columbia Business School, the course is taught by a world-class instructor, actively training the next generation of market leaders on Wall Street.
Participants from all backgrounds will be prepared to participate on the ever-evolving financial playing field.
This physics course covers Heisenberg’s uncertainty principle and the concept of compatible operators. You will also learn about the Schrödinger and Heisenberg pictures of quantum mechanics and the coherent and squeezed states of the harmonic oscillator. The course concludes with two state systems and their applications to NMR and masers.
This is the second of three courses offering a sophisticated view of quantum mechanics and its proper mathematical foundation.
- Part 1: Wave Mechanics
- Part 2: Quantum Dynamics
- Part 3: Entanglement and Angular Momentum
To understand the material in this course you should have taken Mastering Quantum Mechanics Part 1: Wave Mechanics.
Completing the 3-part Quantum Mechanics series will give you the necessary foundation to pursue advanced study or research at the graduate level in areas related to quantum mechanics
The series will follow MIT’s on campus 8.05, the second semester of the three-course sequence on undergraduate quantum mechanics, and will be equally rigorous. 8.05 is a signature course in MIT's physics program and a keystone in the education of physics majors.
Learner Testimonials
“I’ve thought long and hard to come up with a better MOOC than this one (I’ve completed 25 of these things over the past 2 years) and can’t do it. 8.05x is #1 and I suspect will stay that way for some time to come.”
“Being an engineering student from India trying to shift to Physics, I am often faced with the requirement to study topics on my own. Very often this has led me to feel inadequate. 8.05x was the perfect opportunity for me to both gain knowledge and evaluate my understanding on a high quality international platform. It has really exceeded my expectations. Now, at the end of fifteen weeks, I feel more confident and hopefully I am more knowledgeable.”
Understanding poetry is a way to immerse yourself in an art form that explores cultures everywhere in the world
日本語の説明は「See more」をクリックしてください。
One of the most challenging aspects of learning Japanese is pronunciation.
Most non-native Japanese speakers, whether basic level or advanced, have experienced at least one situation when they were misunderstood or couldn’t share their true feelings because of incorrect pronunciation.
If you are a Japanese learner, anywhere around the world, this language course has been designed to help you improve your pronunciation, and give you confidence in spoken Japanese.
Join Professor Toda at WasedaX to practice your pronunciation, improve your communicative Japanese and become a confident Japanese speaker.
日本語を学ぶうえで最も苦労することのひとつが発音です。
日本語を外国語として話す人の多くは、その習熟度に関わらず、発音が正確でないばかりに、誤解を与えてしまった、あるいは真意を伝えることが出来なかった、という経験を一度はしたことがあるのではないでしょうか。
本講座は、世界中の日本語学習者にとって、正しい発音で、自信を持って「伝わる日本語」を話せるようになるための手助けとなるはずです。
戸田先生と発音練習をし、伝わる日本語を身に付け、自信を持って日本語を話せるようになりましょう。
Taught by lauded Harvard professor Michael Sandel, Justice explores critical analysis of classical and contemporary theories of justice, including discussion of present-day applications. Topics include affirmative action, income distribution, same-sex marriage, the role of markets, debates about rights (human rights and property rights), arguments for and against equality, dilemmas of loyalty in public and private life. The course invites learners to subject their own views on these controversies to critical examination.
The principal readings for the course are texts by Aristotle, John Locke, Immanuel Kant, John Stuart Mill, and John Rawls. Other assigned readings include writings by contemporary philosophers, court cases, and articles about political controversies that raise philosophical questions.
Subtitles are available in Chinese, German, Portuguese, and Spanish.
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.
Interaction between Russian Literature and Music
Analysis of work by T. S. Eliot including the lovesong of j. alfred prufrock, The Waste Land, The Hollow Men and more.
课程介绍视频也可以访问中国网站
计算机是现代社会中用于解决问题的重要工具。利用计算机解决实际问题需要将问题抽象，并对数据进行操作，最后通过计算机程序求解问题。而本门课程主要内容就是对以上内容进行研究。
图灵奖获得者N.Wirth写了一本经典著作“程序=算法+数据结构”。数据结构，是抽象的表示数据的方式；算法，则是计算的一系列有效、通用的步骤。算法与数据结构是程序设计中相辅相成的两个方面。
我 们会围绕着“算法+数据结构=程序”的思路，以问题求解为导向进行学习。希望能够帮助大家提高理论、抽象、设计的能力。在扎实的经典理论基础上，运用问题 抽象、数据抽象、算法抽象来分析问题，应用适当的数据结构和算法来设计和实现相应的程序。通过课程学习，大家的抽象思维能力、问题求解能力将得到较大提 升，编程能力和代码质量会有质的飞跃！
在求解实际问题方面，我们会学习到通过权衡时空和其他资源开销，利用数据结构来组织数据、设计高效的算法、完成高质量的程序以满足错综复杂的实际应用需要。
此外，课程所学到的内容会被利用到计算机科学后续的各个课程中，如操作系统、软件工程、数据库概论、编译技术、计算机图形学、人机交互等。希望可以为大家将来从事计算机相关的学习、研究和开发工作打下扎实的基础。
本课程采用张铭主编的国家“十一五”规划教材《数据结构与算法》（高等教育出版社）。适合计算机以及相关理工专业的大二本科生学习，需要先修过计算概论等课程，具有结构化和面向对象的程序设计基础。
在 第一部分学完了线性表、栈与队列、字符串、二叉树、树和图这些基础数据结构之后，第二部分我们将深入学习排序、检索、索引、高级数据结构以及数据结构应用 等内容。涉及快速排序、外排序等各种经典排序算法，集合、散列、位图等检索方法，B/B+树、Trie树等索引结构，广义表、多维数组等高级线性结 构，AVL、红黑树、伸展树等平衡二叉树。第二部分课程持续8周，学习者每周在本课程上需要投入4－8小时。本课程的本次开设得到Google研究经费支 持。
Computers are an important tool for problem solving and are deeply involved in modern life. Computers perform operations on data. What is the logical relationship among data? How is data stored in computers? What algorithms are required to solve particular problems? These are the questions that will be answered in “Data Structures and Algorithms,” an important core course in Computer Science. The course also introduces students to fundamental data structures and classical algorithms used in more specialized courses, including Operating Systems, Software Engineering, Database Systems, Compiler Principles, Computer Graphics and Human Computer Interaction.
Niklaus Wirth described the important and indivisible link between algorithms and data structure in his book, Algorithms + Data Structures = Programs.
The course will build on Wirth’s ideas as it helps students improve their knowledge of theory and their ability to think abstractly to solve problems. Building on a solid theoretical foundation, students will analyze problems using data and algorithm abstraction. Students will learn how to organize data efficiently and make tradeoffs between space and time complexity, design efficient and effective algorithms, and implement high quality programs to solve complex real-world problems. After studying this course, students will be well prepared for further study and research in engineering and other computer-related areas.
This is an intermediate-level course appropriate for sophomore students majoring in computer science or other science/engineering disciplines. Students should have learned "introduction to computing", with the knowledge of structured and object-oriented programming.
This course is presented in two eight-week sessions. In session 1, we learnt Linear Lists, Stacks, Queues, Strings, Binary Trees, Trees and Graphs, which are fundamental data structures. In the second session, we will study advanced data structures and algorithms, such as Sorting, Searching, Indexing, as well as their applications thoroughly. More detailed, these chapters include a variety of classic Sorting algorithms (Quicksort, External Sorting), Searching methods (Sets, Hash Tables, Bitmaps), Indexing structures (B/B+ trees, Trie trees), Advanced List-Structure (generalized lists, Multi-dimensional arrays) and Balanced Binary Trees (AVL, Red-Black trees, Splay trees). The second part of the course lasts eight weeks. Each week, student will spend 4-8 hours to follow this course.
Students who score 60% or higher will receive an Honor Code Certificate.
The Autumn 2014 Sessions of this course are supported by Google.
课程采用的算法语言? Which programming languages does the course use?
本课程采用基于C++的伪代码授课和出习题。编程作业是POJ自动评判的，该平台目前接受 C、C++、Java等都可以。
The course’s content and exercises are both based upon C++ pseudo code. Programming assignments are automatically assessed by POJ which accepts code written in C/C++ and JAVA.
This course is a seminar on the nature of love and sex, approached as topics both in philosophy and in literature. Readi
There is one thing I can be sure of: I am going to die. But what am I to make of that fact? This course will examine a n
En las próximas décadas, las pensiones se convertirán en uno de los ejes centrales de las políticas económicas y sociales en América Latina y el Caribe (ALC).
¿La razón? En 2050 habrá en la región el triple de adultos mayores que ahora, con una mayor esperanza de vida y, por lo tanto mayores necesidades de atención.
Esos adultos mayores del futuro están hoy en un mercado de trabajo donde sólo 4 de cada 10 trabajadores contribuyen a un sistema de pensiones. Esto significa que en la actualidad 130 millones de personas están trabajando sin ahorrar para su pensión en ALC.
En ausencia de reformas, incluso con un crecimiento sostenido en la región, 1 de cada 2 jubilados no tendrá una pensión o esta no será adecuada, dejando entre 66 y 83 millones de adultos mayores dependiendo de las familias o del Estado para su manutención, lo que será económica, fiscal y socialmente insostenible.
Por otra parte, aquellos sistemas que prometen beneficios más generosos tienen baja cobertura y eventuales problemas de equidad y sustentabilidad. Lo que genera un importante desafío, ya que el aumentar la cobertura bajo el mismo diseño puede mejorar la situación financiera en el corto plazo, pero acrecentar los problemas de sustentabilidad en el largo plazo.
En este curso comprenderemos las complejidades que afronta el mercado de trabajo en ALC y, por ende, su sistema de pensiones. Vamos a esclarecer las políticas que se pueden formular en los diferentes contextos de la Región que podrían llevar a un funcionamiento de sistemas de pensiones más eficientes, financieramente sostenibles y equitativos y así ofrecer “mejores pensiones” a todos los adultos mayores, no solo a unos pocos.
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.
Technological innovations have revolutionized the way we view and interact with the world around us. Editing a photo, re-mixing a song, automatically measuring and adjusting chemical concentrations in a tank: each of these tasks requires real-world data to be captured by a computer and then manipulated digitally to extract the salient information. Ever wonder how signals from the physical world are sampled, stored, and processed without losing the information required to make predictions and extract meaning from the data?
Students will find out in this rigorous mathematical introduction to the engineering field of signal processing: the study of signals and systems that extract information from the world around us. This course will teach students to analyze discrete-time signals and systems in both the time and frequency domains. Students will learn convolution, discrete Fourier transforms, the z-transform, and digital filtering. Students will apply these concepts in interactive MATLAB programming exercises (all done in browser, no download required).
Part 1 of this course analyzes signals and systems in the time domain. Part 2 covers frequency domain analysis.
Prerequisites include strong problem solving skills, the ability to understand mathematical representations of physical systems, and advanced mathematical background (one-dimensional integration, matrices, vectors, basic linear algebra, imaginary numbers, and sum and series notation). Part 1 is a prerequisite for Part 2. This course is an excerpt from an advanced undergraduate class at Rice University taught to all electrical and computer engineering majors.
该课程讲授13种日本传统艺术，教学内容主要分为16个部分。在讲授十二个部分的主要内容之外，主讲教师滕军还结合自己科研的最新成果和此领域的最新研究成果，阐述对日本艺术的独特的思考和归纳。还适时地用讨论的方式讲授日本传统艺术对其现代艺术的影响，如对现代日本漫画、日本动画片、日本现代雕塑、日本现代音乐的影响。并启发学生去独自地思考分析日本艺术的特色。
In this art course, you will learn about 12 kinds of traditional Japanese art:
- Incense lore
- Ukiyo-e
- Extravaganza
- Japanese garden art
- Noh
- Kabuki
- Yamato
- Gagaku
- Sculpture
- Yamato
- Ikebana
- Kabuki
Professor Teng Jun combines her latest achievements in scientific research and the latest research in Japanese art to elaborate on the thinking and unique induction of this art. You will also learn about the influence of traditional Japanese art on modern art through timely discussions, such as the impact of modern Japanese manga, Japanese animation, Japanese modern sculpture, and modern Japanese music. You will be inspired to think and analyze the characteristics of Japanese art independently.
This is a survey of the main trends in twentieth-century literary theory. Lectures will provide background for the readi
This course explores photography as a disciplined way of seeing, of investigating landscapes and expressing ideas. Readi
This course is intended as an introduction to political philosophy as seen through an examination of some of the major t
Curious about entrepreneurship, but not sure where to start? Learn from MIT’s premier program for aspiring entrepreneurs, MIT Launch.
Becoming an Entrepreneur is an innovation and business course designed for aspiring entrepreneurs who want to explore an entrepreneurial path and overcome some of the initial challenges in taking those first steps.
From developing new business ideas and doing market research to entrepreneurial strategy and pitching, this course follows MIT’s successful approach to entrepreneurship. There will be a combination of short videos, thought-provoking case studies, and activities that will challenge you to get you away from your computer screen and into the community to make a real impact.
No previous business or entrepreneurship experience needed. Join us to embark on your entrepreneurial journey.
Week 1: A first simple neuron model
Week 2: Hodgkin-Huxley models and biophysical modeling
Week 3: Two-dimensional models and phase plane analysis
Week 4: Two-dimensional models (cont.)/ Dendrites
Week 5: Variability of spike trains and the neural code
Week 6: Noise models, noisy neurons and coding
Week 7: Estimating neuron models for coding and decoding
Before your course starts, try the new edX Demo where you can explore the fun, interactive learning environment and virtual labs. Learn more.
This course is Part II of a two-part mathematical introduction to the mechanics and control of robots that can be modeled as kinematic chains. Topics covered include the concept of a robot’s configuration space and degrees of freedom, static grasp analysis, the description of rigid body motions, kinematics of open and closed chains, and the basics of robot control. The emphasis is not on the latest research trends and technological innovations in robotics, but on learning the fundamental concepts and core principles that underlie robotics as a scientific discipline. The intent is to help students acquire a unified set of analytical tools for the modeling and control of robots, together with a reliable physical intuition that recognizes the unique and interdisciplinary nature of robotics—in short, content that will serve as a reliable foundation for whatever trends may appear later, and remain relevant to both the practitioner and researcher. NOTE: Part II will cover screw motions and the product of exponentials kinematics formula, inverse kinematics of open chains, velocity kinematics and statics, closed chain kinematics, and basics of robot control.
EECS149.1x introduces students to the design and analysis of cyber-physical systems --- computational systems that are integrated with physical processes. Applications of such systems include medical devices and systems, consumer electronics, toys and games, assisted living, traffic control and safety, automotive systems, process control, energy management and conservation, environmental control, aircraft control systems, communications systems, instrumentation, critical infrastructure control (electric power, water resources, and communications systems for example), robotics and distributed robotics (telepresence, telemedicine), defense systems, manufacturing, and smart structures.
A major theme of the course is on the interplay of practical design with formal models of systems, including both software components and physical dynamics. A major emphasis will be on building high confidence systems with real-time and concurrent behaviors. Students will apply concepts learned in lectures to programming a robotic controller in a specially-designed virtual laboratory environment with built-in automatic grading and feedback mechanisms.
This edX course is an online adaptation of the UC Berkeley undergraduate course EECS 149, covering a subset of topics that are especially relevant for the lab component of that class.
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