本学期赵春晖教授邀请University of Alberta的黄彪教授为我校研究生和大四学生开设“Topics in Process Data Analytics and Machine Learning”短期课程。

开课时间：4月21日-4月27日，上午9点-11点；

授课地点：工控新楼501。

课程简介：该课程围绕过程数据分析和机器学习展开，同时也会介绍SCI文章写作和投稿的相关技巧。

授课教师简介：黄彪教授是加拿大国家工程院院士，是过程控制系统性能评估与诊断、预测控制、系统辨识等领域的国际著名专家。

请于4月20日前在金数据https://jinshuju.net/f/oinlRs 报名选课

修完本短期课程的研究生以及大四推免生视同选修春季学期“控制学科国际前沿讲座”（课程编号：3204006002），可获1学分。

【备注：之前已选修“控制学科国际前沿讲座”并获得学分的同学不能重复获得学分。】

Topics in Process Data Analytics and Machine Learning

Biao Huang, FIEEE, FCAE, FCIC - University of Alberta

April 22 to 26, 2019

1 to 2 hours/day

Target audiences: Senior undergraduates, graduates and automation professionals.

The primary objective of this short course is to provide the audience with an introduction to the subjects of modern process data analytics and machine learning. Data analytics/machine learning has become one of the most studied subjects in the control engineering community, attracting significant research and application interest. In this short course, we will discuss several advanced topics related to data analytics and machine learning. Upon completion of this short course, the audiences should have gained fundamental knowledge about data analytics and machine learning along with their applications. While most of the presentations are in an introductory nature, some of them will be elaborated in more depth (labelled as “in-depth”). Depending on available time and comprehension of the audience, we will cover some or all of the following topics:

• Feature extractions

• Just-in-time learning

• Bayesian learning

• Deep learning

• Reinforcement learning

• Expectation Maximization inference (in-depth)

• Variational Bayesian inference (in-depth)