Dynamic Games of Incomplete Information

Perfect Bayesian Equilibrium

飞机结构强度规范与试验

中国民用航空飞行学院

飞机飞行载荷与过载

中国民用航空飞行学院

民用飞机飞行载荷计算中常用术语及含义

重量——最小飞行重量到最大设计重量之间的所有能导致结构严重受载的重量，并考虑其随高度的变化

（燃油消耗引起）

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重心——由结构布局、有效装载的分布和耗油顺序决定，同时须考虑飞行姿态、加速度和飞机弹性变形等因素影响

惯量——重量和重心固定的情况下可有不同的装载方案改变飞机的惯性矩和惯性积

速度与高度——设计巡航速度、设计俯冲速度、设计机动速度、对应最大突风强度的设计速度、设计襟翼速度、阻力装置速度（海平面~最大飞行高度）

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Lecture 1: Introduction to Big Data Mining

Basic concepts, history and some examples of data mining.

Feb. 27, 2019

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EE448 Big Data Mining 2019

Weinan Zhang, Assistant Professor

John Hopcroft Center for Computer Science

SEIEE

Shanghai Jiao Tong University

Email: wnzhang [AT] sjtu.edu.cn

Big data driven techniques have been revolutionizing various aspects of our daily life. Big data means not only big volume but also high dimension and diversity. How to collect, represent, process and compute so as to successfully mine valuable patterns and acquire benefit from the big data is a fundamental challenge to both academia and industry.

This course provides a comprehensive introduction of the fundamental problems and methodologies of big data mining. The organization of the course would be application oriented, which helps SEIEE students get familar with various data mining tasks and basic solutions. Via lectures, hands-on courseworks and poster presentations, the students are expected to acquire the basic theory, algorithms, and some practice experience of big data mining techniques. It would also help students find their interested research topics, which could benefit their further graduate study and industrial practice.

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Lecture 3: Fundamental Data Mining Algorithms

Frequent patterns, association rules, Apriori, FPGrowth, KNN.

Mar. 13, 2019

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EE448 Big Data Mining 2019

Weinan Zhang, Assistant Professor

John Hopcroft Center for Computer Science

SEIEE

Shanghai Jiao Tong University

Email: wnzhang [AT] sjtu.edu.cn

Big data driven techniques have been revolutionizing various aspects of our daily life. Big data means not only big volume but also high dimension and diversity. How to collect, represent, process and compute so as to successfully mine valuable patterns and acquire benefit from the big data is a fundamental challenge to both academia and industry.

This course provides a comprehensive introduction of the fundamental problems and methodologies of big data mining. The organization of the course would be application oriented, which helps SEIEE students get familar with various data mining tasks and basic solutions. Via lectures, hands-on courseworks and poster presentations, the students are expected to acquire the basic theory, algorithms, and some practice experience of big data mining techniques. It would also help students find their interested research topics, which could benefit their further graduate study and industrial practice.

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Lecture 2: Know Your Data

Data representation, visualization and proximity measures.

Mar. 6, 2019

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EE448 Big Data Mining 2019

Weinan Zhang, Assistant Professor

John Hopcroft Center for Computer Science

SEIEE

Shanghai Jiao Tong University

Email: wnzhang [AT] sjtu.edu.cn

Big data driven techniques have been revolutionizing various aspects of our daily life. Big data means not only big volume but also high dimension and diversity. How to collect, represent, process and compute so as to successfully mine valuable patterns and acquire benefit from the big data is a fundamental challenge to both academia and industry.

This course provides a comprehensive introduction of the fundamental problems and methodologies of big data mining. The organization of the course would be application oriented, which helps SEIEE students get familar with various data mining tasks and basic solutions. Via lectures, hands-on courseworks and poster presentations, the students are expected to acquire the basic theory, algorithms, and some practice experience of big data mining techniques. It would also help students find their interested research topics, which could benefit their further graduate study and industrial practice.

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Lecture 5: Supervised Learning (Part II)

Support Vector Machines, Neural Networks.

Apr. 3, 2019

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EE448 Big Data Mining 2019

Weinan Zhang, Assistant Professor

John Hopcroft Center for Computer Science

SEIEE

Shanghai Jiao Tong University

Email: wnzhang [AT] sjtu.edu.cn

Big data driven techniques have been revolutionizing various aspects of our daily life. Big data means not only big volume but also high dimension and diversity. How to collect, represent, process and compute so as to successfully mine valuable patterns and acquire benefit from the big data is a fundamental challenge to both academia and industry.

This course provides a comprehensive introduction of the fundamental problems and methodologies of big data mining. The organization of the course would be application oriented, which helps SEIEE students get familar with various data mining tasks and basic solutions. Via lectures, hands-on courseworks and poster presentations, the students are expected to acquire the basic theory, algorithms, and some practice experience of big data mining techniques. It would also help students find their interested research topics, which could benefit their further graduate study and industrial practice.

收起