课程安排

何毓琦教授在 ISINS'04
学期课程
短期课程

[2009.11.30] Dr. Timothy Chou’博士的短期课程“云计算及软件工业的商业模型”

课程概况：Timothy Chou博士曾任甲骨文公司下属的Oracle On Demand总裁，现任著名软件上市公司Blackbaud的董事。本课程面向研究生和高年级本科生介绍刚刚兴起的新型计算技术－云计算及其商业应用前景。适合于信息学院、经管学院等院系相关专业的学生。Chou博士有在斯坦福大学讲授计算机体系结构15年的教学经验。此次开设的课程他在斯坦福大学已经讲过4次。课程将从技术和商业应用两个方面介绍云计算，其中包含大量的企业应用案例。

【课程编号】：Y0250131

【上课时间】：11月30日至12月9日（周一、三、五下午3:10-5:40）

【上课地点】：中央主楼510教室

【主讲教师】：Timothy Chou (软件上市公司Blackbaud董事，斯坦福大学兼职教员)

【授课对象】：研究生、高年级本科生

【联系人】： 自动化系赵千川 电话：83612，电子邮件zhaoqc@tsinghua.edu.cn

【学分及考核方式】：1学分，考查

【课程简介】： 主讲教师Timothy Chou博士曾任甲骨文公司下属的Oracle On Demand总裁，现任著名软件上市公司Blackbaud的董事。本课程面向研究生和高年级本科生介绍刚刚兴起的新型计算技术－云计算及其商业应用前 景。适合于信息学院、经管学院等院系相关专业的学生。Chou博士有在斯坦福大学讲授计算机体系结构15年的教学经验。此次开设的课程他在斯坦福大学已经 讲过4次。课程将从技术和商业应用两个方面介绍云计算，其中包含大量的企业应用案例。

The objective of this class is for business and technology students to understand 1.The fundamental business models for the software industry. 2.The current state of the art in cloud computing 3.How all of this technology can be used to create new businesses The lecture series will contain numerous examples from my Stanford lecture series and some of the leading technology companies including Cisco, Webex, Concur, Salesforce, Zappos, Opentable, IBM, Oracle, Blackbaud, Microsoft, RightNow, Kenexa, Taleo, Netsuite, Google, eBay, Pandora, Amazon, Rackspace and Opsource.

【教学大纲】

Lecture 1: Seven Software Business Models The initial lecture will focus on the seven fundamental software business models, which included traditional, open source, outsourcing, hybrid, hybrid+, software as a service and Internet. While many have been students of the economics of hardware, few have been students of the economics of software. This lecture will focus on the cost structures both to the producer and the consumer of software.

Lecture 2: Application Cloud Services Almost all software companies that have made public offerings (IPO) since 2000 deliver their applications as a cloud service. We will discuss many of them, how they are similar, how they are different.

Lecture 3: Network and Co-location Cloud Services The fundamental base of the cloud service stack is networking and collocation. We will discuss some of the essentials in developing high quality, high reliability, low cost services for networking and housing the computers and storage.

Lecture 4: Compute and Storage Cloud Services Many of the consumer Internet providers and some of the business service providers are now making lower level infrastructure available to developers to either build totally new applications or extend existing apps. Led by Amazon, many companies are beginning to provide computers and storage as a cloud service. We’ll discuss some of the challenges and solutions in this area.

Lecture 5: Research and Development: Platform Cloud Services Begin with a basic understanding of the economics of software development and then discuss the implications on R&D when developing software for the cloud. Issues to be discussed include the weight of the application, database architecture, implications on test & QA, how to manage the issues of customization and fundamental billing infrastructure. Lecture 6: Operations: Platform Cloud Services Few in the academic setting understand the challenges of managing deployed software. But anybody delivering cloud-based services will quickly realize operations are not an afterthought. In this lecture we will cover the key operational processes: security, availability, performance, change and problem management.

Lecture 7: Marketing Building the greatest cloud service in the world is good – but if no one knows about it who will care? This lecture will focus on modern social media mechanisms to market products and services. Blogging, search, social networks and how you measure marketing results will all be covered.

Lecture 8: Sales Marketing is important, but ultimately you have to take qualified leads and complete the sale. Depending on the average selling price of the service and the size of the installed base there are many sales models that can be effective. The lecture will focus on some of the key success factors including sales compensation, the usage of indirect channels and the math behind figuring out when to invest more in selling. Remember almost every technology company spends more money on sales and marketing than on R&D.

Lecture 9: Finance and Business Operations The cloud-based business models have a very different revenue model than traditional software. This has implications on revenue recognition, contracts, and service level agreements. An analysis of three companies and the amount of investment required to establish them will be covered.

Lecture 10: Culture and Organization Cloud-based businesses will always be about the people you can hire, motivate and keep. We will discuss what it means to have the right people, right culture and right organization with examples from companies like Zappos.com

【主讲人简历】

Timothy Chou has over twenty years of experience in the technology business. Over the past nine years he has been a visible pioneer of the movement to software delivered as a cloud service. From 1999 to 2005 he was President, Oracle On Demand. Oracle On Demand delivered enterprise applications as a service to over a quarter million people worldwide.

Under his leadership Oracle On Demand was the fastest growing business inside Oracle. In order to sustain this kind of growth many business and technology innovations were developed to speed the adoption by medium and large corporations both in the United States and internationally. Customers included companies such as Cigna, Bank of Montreal, Unocal, Grupo Posadas, Thermos, and Qantas Airlines

Since leaving Oracle in 2005 he helped co-found two new cloud-based ventures. The first venture is using some fundamental game mechanics to change consumer behavior towards a more sustainable lifestyle. The second venture is building the world’s first search (not SQL)-based applications. He also joined the board of Blackbaud (NASDAQ: BLKB) in 2006. Blackbaud is the world’s leading provider of software for nonprofits.

Based on his experiences as President, Oracle On Demand he authored his popular first book, “The End of Software”. Based on the success of that book he has written a follow on book “Cloud: Seven Clear Business Models” which will serve as a tutorial for anyone on both the technology and business aspects of cloud computing.

In addition to his professional career he has also kept his hand in the academic community. For over 15 years he taught the introductory computer architecture class at Stanford University in the Spring and Fall Quarters. He returned to Stanford to launch the first class on software as a service. The class has features CEOs and founders of leading public software companies. These have included the leaders of Sun Microsystems, Webex, Concur, Taleo, Salesforce.com, Netsuite, Google, eBay and Amazon. The upcoming class in the Fall of 2009 will mark the 5th time the class has been given.

Dr. Timothy Chou’博士的短期课程
Dr. Timothy Chou’博士的短期课程

原始大小图片: [1] [2]

[2008.5.20] Meerkov 教授和李京山教授开始短期课程

经校研究生院批准，我中心邀请自动化系申报的海外学者 Meerkov 教授和李京山教授开始的短期课程 － 生产系统工程已经正式开课。选课同学请访问课程链接下载相关文件。

Meerkov 教授和李京山教授短期讲学

主讲人: Semyon M. Meerkov 教授和李京山教授

助教: 张亮

课程名称：生产系统工程（Production Systems Engineering）

课程编号：Y0250062

生产系统工程，研究和制造有关的建模、设计和优化问题，具有广泛的工程背景。包括生产系统的设计，运行管理，供应链与物流管理，半导体制造，电路设计，生产自动化和控制，生产计划与调度等。该课程是根据 Meerkov 教授和李京山博士在美国密西根大学电子工程与计算机科学系和美国肯塔基大学电子与计算机工程系开设的相应课程的内容组织的，面向与制造相关的所有相关工程学科的高年级本科和研究生开设。侧重以随机过程为理论基础，面向生产系统的工程实践，建立分析生产系统性能的模型和方法，为生产系统的设计和优化提供理论依据和指导。由于主讲教师具有丰富的实际工程经验，因而，该课程在重视理论严谨性和系统性的同时，也会紧密结合实际，对理论和方法在实践中的运用技巧给出透彻的解释。

Semyon M. Meerkov教授简历

Semyon M. Meerkov 教授 1966 年从前苏联莫斯科控制科学研究所获得系统科学博士学位。在前苏联莫斯科控制科学研究所从事研究工作至 1977 年。由国际著名的优化专家贝尔曼介绍到美国进行合作研究, 后执教于伊利诺伊理工学院。自 1984 年起在美国一流的密西根大学(University of Michigan, Ann Arbor)电子工程与计算机科学系担任终身教授。曾在美国斯坦福大学和加州大学洛杉矶分校访问。

Meerkov 教授的研究方向是系统与控制理论及在生产系统和通信网络中的应用。由于他在生产系统的研究上的突出成就，曾获 1990 年国际自动控制联合会世界大会的应用论文奖；并当选为 IEEE 会士（Fellow）。他担任着国际知名学术期刊《Mathematical Problems in Engineering》的主编，并任国际著名期刊《IIE Transactions》在制造系统领域的编辑和多家杂志的编委。曾多次在主要国际会议上作大会报告。

李京山（Jingshan Li）教授简历

李京山博士 1989 年本科毕业于清华大学自动化系，1992 从中国科学院自动化研究所获得硕士学位，2000 年从美国密西根大学(University of Michigan, Ann Arbor)获得博士学位，师从 Semyon M. Meerkov 教授。2000 年－2006 年就职于美国通用汽车公司制造系统研究院（美国），从事研究工作。2006 年加入美国肯塔基大学，担任助理教授。

李京山博士的研究方向是生产系统的建模分析和优化。由于他在该方向上做出的突出成绩，曾获得 2005 年度 IEEE 自动化科学与工程汇刊最佳论文奖（惟一获奖人），2006 年度 IEEE 机器人与自动化学会颁发的 Early Industry/Government Career Award in Robotics and Automation。他担任着国际学术期刊 IEEE 自动化科学与工程汇刊和《Mathematical Problems in Engineering》的编委。