项目内容包括机器学习与数据科学概论、商业分析中市场数据处理的机器学习技术与算法、Python与Jupiter notebooks交互式学习、机器学习库、股市预测等。学生将在项目中学习如何使用机器学习完成商业市场数据分析，进行股市预测，在项目结束时，提交项目报告，进行成果展示。
Dr.Patrick is an Associate Professor in the Department of Statistics at the University of Oxford. Prior to joining the University of Oxford, he was a Lecturer in the Computer Science department at Yale University and a Postdoctoral Associate at the Yale Institute for Network Science. He has a Ph.D. in Operations Research and Financial Engineering from Princeton University, where he worked in Applied Probability. His current research interests lie at the intersection of Applied Probability, Statistics, and Computer Science. He is interested in the investigation of fundamental principles to perform scalable inference, learning, and optimization in high-dimensional models, and in the design and analysis of algorithms in Machine Learning, with applications to graphical models and Monte Carlo methods. Patrick导师现任牛津大学终身教授，曾任教于耶鲁大学计算机科学系，拥有普林斯顿大学博士学位，荣获牛津大学杰出教学奖。Patrick教授的研究研究兴趣集中在应用概率、统计学和计算机科学的交叉领域,聚焦于高维概率、统计和优化的基本原理，为机器学习和人工智能提供高计算效率、统计最优的算法。导师同时对图形建模以及蒙特卡洛模拟方法颇有研究。
机器学习与数据科学概论 Machine learning and data science
商业分析中市场数据处理的机器学习技术与算法 Techniques and algorithms (linear models, random trees, random forests, boosting, kernel methods, deep learning, etc) on real-world market data processing
Python与Jupiter notebooks交互式学习 Python and Jupiter notebooks for interactive learning
机器学习库 Libraries for machine learning
股市预测 Machine learning on predicting the stock market
项目回顾与成果展示 Program Review and Presentation
论文辅导 Project Deliverables Tutoring
工程
黑碳的环境老化与环境氧化
同济大学 环境科学与工程学院 教授 博导 美国加州大学洛杉矶分校 访问学者 研究方向： 1. 环境污染与修复 2. 土壤环境学 3. 纳米环境学 主讲课程： 环境污染修复学，环境地学 已在专业核心学术刊物及国内外会议发表论文30余篇，申请国家专利6项，其中已授权4项。主持国家自然科学基金项目6项、浙江省自然科学基金1项，参与国家自然科学重点基金、国家重点研发计划项目课题、教育部科技创新工程重大培育项目、上海市科委社会发展项目4项。担任《农业资源与环境学报》编委、ES&T等二十余种SCI刊物审稿人，国家自然科学基金项目通讯评审专家、国家重点研发项目视频答辩评审专家。
工程
自动化与控制理论专题：机器人设计与应用研究【大学组】
Nader导师于1988年加入佐治亚理工学院，现任George W. Woodruff机械工程学院终身教授及机器人博士项目主任，Nader教授在加州大学伯克利分校取得硕士及博士学位，早期研究工作是在机器人和自动化领域。他在这一领域的主要贡献是开发了一类用于非线性机械系统的自适应和学习控制器，包括机器人操纵器，它使机器人像人类一样能够通过实践来学习重复的任务，且不需要精确的模型。后来工业生产证明，实现这种学习控制器可以在不显著增加成本或复杂性的情况下显著提高工业机器人的性能，并有潜力提高自动化制造系统的准确性、自主性和生产率。除了机器人技术，导师还曾开发了一种类似的学习控制器，用于调节复印机感光器的速度，这是施乐公司赞助的一个项目的一部分。 Dr. Nader's early research work was in the field of robotics and automation. His major contribution to this field was the development of a class of adaptive and learning controllers for nonlinear mechanical systems including robotic manipulators. This work, which evolved from his doctoral research, enables a robot to learn a repetitive task through practice, much like a human being, and without requiring a precise model. He later demonstrated that implementing this learning controller can significantly improve the performance of industrial robots without significantly increasing their cost or complexity, and has the potential to improve the accuracy, autonomy, and productivity of automated manufacturing systems. In addition to robotics, he developed a similar learning controller for speed regulation of copier photoreceptors as part of a project sponsored by the Xerox Corporation. Dr. Sadegh began at Tech in 1988 as an Assistant Professor.
自然科学
应用数学前沿研究【高中组】
Prof. Alberto is a Senior Faculty Scientist in the Mathematics Group at LBNL. He also holds a full-time position in the Mathematics Department at UC Berkeley. Before joining LBNL in 1976, Grünbaum taught at the Courant Institute in NYU, was a research scientist at the IBM Research Center in Yorktown Heights, NY and then joined the Applied Mathematics Department at Caltech before moving to Berkeley in 1974. He has served as director of the Center for Pure and Applied Mathematics and then Chairman of the UC Berkeley Mathematics Department from 1989--1992. He has been published extensively in the area of imaging, and his recent research interests include the study of Quantum Walks and its applications to different areas of science and technology. Alberto导师是加州大学伯克利分校应用数学终身正教授，在加州大学伯克利分校讲授线性代数等课程，曾任加州大学伯克利分校数学系主任、曾任英国物理研究所出版刊物Inverse Problems主编，曾在纽约大学柯朗数学研究所（Courant Institute；全球Top1应用数学研究中心）、IBM全球研究中心、劳伦斯伯克利国家实验室（Lawrence Berkeley Lab；美国最杰出的国家实验室之一）进行教学或研究工作。Alberto导师的研究聚焦应用数学与数学分析，多次应邀至世界各地知名学府发表主旨演讲。
