Online courses directory (19947)
金融交易工具-選擇權的介紹
从操作系统与虚拟化平台面临的安全问题和应该采取的安全机制入手，帮助你学习和掌握计算机系统安全的基本理论、技术、方法和评测标准。Learn about operating system and virtualization security issues, related security theories, technologies, methods and evaluation criteria, as well as gain a deeper understanding of computer system security.
《操作系统原理》是针对计算机科学技术专业三年级本科生开设的一门专业基础课程。本课程着重学生系统观的培养，通过重点讲述操作系统的内部结构、工作原理及典型技术的实现，使学生建立起对操作系统的整体及各个功能模块的认识，从而系统掌握计算机的专业知识，进一步提升学生的软件开发能力乃至系统软件开发能力。
课程从问题开始揭示一些数学思想形成的过程，和听众一起从思想上重走一遍前辈们走过的路，体会数学抽象的魅力。 In this course I share the processes which formed the core concepts of mathematical philosophy, walking with students as they experience, learn and enjoy mathematical abstraction.
Despite the large volume of data mining papers and tutorials available on the web, aspiring data scientists find it surprisingly difficult to locate an overview that blends clarity, technical depth and breadth with enough amusement to make big data analytics engaging. This course does just that.
Each module starts with an interesting real-world example that gives rise to the specific research question of interest.
Students are then presented with a general idea of how to tackle this problem along with some intuitive and straightforward approaches.
Finally, a number of representative algorithms are introduced along with concrete examples that show how they function in practice.
While theoretical analysis sometimes overcomplicates things for students, here it’s applied to help them better understand the key features of the techniques.
本课程完整覆盖数据挖掘领域的各项核心技术，包括数据预处理、分类、聚类、回归、关联、推荐、集成学习、进化计算等。强调在知识的广度、深度和趣味性之间寻找最佳平衡点，在生动幽默中讲述数据挖掘的核心思想、关键技术以及一些在其它相关课程和教科书中少有涉及的重要知识点。本课程适合对大数据和数据科学感兴趣的各专业学生以及工程技术人员学习，不追求纯粹的理论推导，而是把理论与实践有机结合，让学生学到活的知识、有用的知识和真正属于自己的知识，特别是数据分析领域的研究方法和思维方式。
“数据结构与算法”是计算机学科中的核心基础课程。课程的主要目标培养学生较全面地理解基本数据结构的概念和经典算法的思想及各种实现方法，掌握数据结构和算法的设计分析技术。根据所求解问题的性质选择合理的数据结构并对时间空间复杂性进行必要的控制，提高程序设计的质量。使得学生在将来的学习、研究和工作中，具备设计和实现高效的数据结构和算法的能力。
课程介绍视频也可以访问中国网站
点击上方绿色按钮报名。
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。
课程主要包括的内容有：线性表，栈与队列，字符串，二叉树，树，图，排序（内排序，外排序），检索，索引，高级数据结构、以及数据结构应用。课程持续16周（分为两个session，每个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.
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.
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.
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。
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 II" is an advanced course extending the materials in "Part I". We will cover more powerful and sophisticated data structures & algorithms, including: splay trees, B-trees, red-black trees, hash tables, priority queues, strings and sorting.
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。其中涉及的知识，在相关专业的课程系统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段。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。
这门课程将帮助学生学习如何运用基础的数据结构和相关算法解决实际应用问题。 This course will help students learn how to use basic data structures and algorithms solving real-world problems.
Chinese archaeology is one of the fastest growing and most exciting fields of study in China. With a wealth of cultural relics unearthed this past century, the world’s fascination with China’s rich history has been renewed.
In this part 1 of a three-part series, this Chinese history course will examine unique cultural relics identified by scholars as important to Chinese civilization. We will focus on agriculture, textiles, architecture, painted pottery, jade articles, bronze ware, shipbuilding and more. We will ignite your curiosity as we explore how these treasures reveal China’s past, and guide the future of Chinese culture.
中国考古学是以往100年中发展最为迅速的领域之一，大批珍贵文物的出土，不断刷新人们对文化中国的认识。本课程以4-6件（组）精品文物作引子，将学术界探索中华文明的过程作为线索，介绍古代中国在造船、玉器等诸多领域的杰出成就，其中不乏学术前沿的考古发现与研究成果，内容精彩纷呈，雅俗共赏，学生可以藉此获得对文化中国全方位的、直观而深入的认识。
Chinese archaeology is one of the fastest-growing and most exciting fields of study in China. With a wealth of cultural relics unearthed this past century, the world’s fascination with China’s rich history has been renewed.
Part 2 of 3, this Chinese history course will examine unique cultural relics identified by scholars as important to Chinese civilization. We will focus on the fields of astronomy, acupuncture, medicine, and how the developments within these fields have impacted Chinese culture. We will ignite your curiosity as we explore how these treasures reveal China’s past, and guide the future of Chinese culture.
中国考古学是以往100年中发展最为迅速的领域之一，大批珍贵文物的出土，不断刷新人们对文化中国的认识。本课程以4-6件（组）精品文物作引子，将学术界探索中华文明的过程作为线索，介绍古代中国在造船、玉器等诸多领域的杰出成就，其中不乏学术前沿的考古发现与研究成果，内容精彩纷呈，雅俗共赏，学生可以藉此获得对文化中国全方位的、直观而深入的认识。
Chinese archaeology is one of the fastest-growing and most exciting fields of study in China. With a wealth of cultural relics unearthed this past century, the world’s fascination with China’s rich history has been renewed.
Part 3 of 3, this Chinese history course will examine unique cultural relics identified by scholars as important to Chinese civilization. We will focus on the music, rituals, rites and writing in Chinese culture. We will ignite your curiosity as we explore how these treasures reveal China’s past, and guide the future of Chinese culture.
中国考古学是以往100年中发展最为迅速的领域之一，大批珍贵文物的出土，不断刷新人们对文化中国的认识。本课程以4-6件（组）精品文物作引子，将学术界探索中华文明的过程作为线索，介绍古代中国在造船、玉器等诸多领域的杰出成就，其中不乏学术前沿的考古发现与研究成果，内容精彩纷呈，雅俗共赏，学生可以藉此获得对文化中国全方位的、直观而深入的认识。
不论企业或其他新药研发人员，还是药师，我们共同的目的之一就是基于药物靶点发现新药。要做到这一点，首先我们必须了解新药发现的步骤，以及临床常用的主要代表药物的治疗作用及其相应靶点，《新药发现和药物靶点》所要介绍的就是作为一个新药研发人员或药师如何发现新药，进而明确需要解决的若干问题。
新药发现中基于药物靶点的药效学评价已经成为当今国内外新药研究和开发的基本方针。现代新药研发的主要内容之一就是寻找和确定药物靶点。当药物靶点确定之后，就要开展基于靶点的药效学评价，从而发现新药。通过本MOOC学习，使学生了解常见药物靶点的常见类型，掌握新药发现的基本步骤及其途径，又能学习抗血栓药物、抗糖尿病药物、抗恶性肿瘤药物、免疫抑制药、抗帕金森病药物、、抗阿尔茨海默病药物、心血管药物、抗菌药物 8大类代表药物的治疗作用及其相应的靶点。本课程还将关注全球新药研发动态。
同时本MOOC课程强调通俗性，需要先修课程是【生物学】，有【生物学】基础的学生就能学习本MOOC课程。平时每周有测试，期末有考试。考试合格颁发证书。
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.
物理學是描述世上質量與能量交互作用的學問，在這門課中我們將為大家介紹近代物理對於世界的認識。我們會從電磁學出發，進展到光學，並進而說明近代物理對人類觀念的突破。
更年期是女性必经生理过程。大约50%的女性在此时会遇到多种不适，影响生活工作质量，并因反复、多科就诊而增加家庭和社会负担；更年期也是多种老年疾病萌发的时期，是预防并延缓这些疾病进展的关键时期。
通过本课程，学习者可以全面了解到更年期相关知识，从生理、心理变化，到相关疾病早期预防、诊断要点、治疗策略；以及有效锻炼、合理膳食的具体措施，性激素治疗和非性激素治疗的介绍。讲者来自妇产科、内分泌科、心内科、乳腺外科、骨科、营养科、临床药学等专家，从多角度深入讲解更年期相关问题，提供高效、综合、具体的解决问题方案。
学习者可以学习到健步走、盆底机能训练操的具体方法，食物交换份和更年期合理饮食方案，科学用药的具体建议，性激素化验单解读，妇科肿瘤早期预防和筛查，阴道微生态结果解析等等，突出实用性。
本课程中，介绍了北京大学第一医院首创的“更年期综合管理一日门诊”模式，由医生、护士、营养师、临床药师组成团队，把团体治疗和一对一咨询有机结合，提供以患者为中心的全科式服务，并充分利用医疗资源，为患者提供必要的专科转诊建议。这一特色门诊，创立于2012年7月4日，运行至今已得到广泛好评。
学习本课程，最重要的是有对女性中年健康的关爱之心。有医学背景固然好，非医学人士同样欢迎，因为本课程围绕改善女性更年期健康状况而设置，突出精华和实用的特点，将促进健康的措施落实在日常生活之中，并能够帮助医学人士开展更年期相关医疗服务。
"Menopausal women go through physiological processes. About 50% of women at this time will encounter a variety of discomfort, affecting the quality of work life, and because of repeated, multidisciplinary treatment and increase the burden on family and society; menopause are also a variety of age-related diseases germination period, is to prevent and delay these diseases Progress in the critical period. Introduction and effective exercise, specific measures to reasonable diet, hormone treatment and non-hormone treated; through this course, learners can fully understand that menopause-related knowledge, from the physical, psychological changes, to early prevention, diagnostic criteria related diseases, treatment strategies . Speakers from the obstetrics and gynecology, endocrinology, cardiology, breast surgery, orthopedics, nutrition, pharmacy and other clinical experts from many angles in-depth explanation of menopause-related issues, to provide efficient, comprehensive, concrete solutions to the problems. Walking learners can learn the specific methods of pelvic floor function training exercise, food exchange copies and menopause proper diet plan, specific recommendations scientific medication, hormone laboratory test interpretation, gynecologic cancer prevention and early screening, vaginal microflora analytical results etc., highlighting practical.
This course introduces the Peking University First Hospital's first "integrated management of the 1st menopause clinic" model, by doctors, nurses, nutritionists, clinical pharmacists a team, group therapy and one on one counseling to combine to provide patient as the center of general services, and make full use of medical resources, to provide the necessary specialist referral is recommended for patients. This feature clinic, founded in July 4, 2012, run so far has been widely praised. This course, the most important is to have a healthy middle-aged women caring heart. There are of course good medical background, non-medical people are also welcome, because this course is around improving the health status and settings menopausal women, highlighting the essence and practical features, will promote the health measures implemented in daily life, and to be able to help those who carry out medical menopause related medical services. Each class has a job to evaluate the degree of knowledge to grasp. Require work to achieve an average 60 percent accuracy rate, and at least one statement, party deemed qualified among the entire course of study in the forums, and grant certificates. If the completion of the "flip the classroom," i.e., completion of the Mu Course, Peking University First Hospital, "Integrated Management of the 1st menopause clinic" experience, and forums to speak at least ten times, considered excellent.
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