[HKU-ITS] AI与数据科学冬季工作坊 AI and Data Science Winter Workshop

[Please scroll down for the English texts]

AI与数据科学冬季工作坊

内容介绍: AI与数据科学冬季工作坊面向所有志在增进自己在AI与数据科学方面理论知识与实践技能的在读中学（或以上）学生。为期五天的工作坊包含由香港大学多个科系教授以英语主讲的讲座、实践操作和咨询指导、以及科技考察等项目。讲座内容涵盖大数据分析、机器学习、深度学习、大语言模型、预测、最优化、以及科研技能等各个主题。学生需完成小组项目以取得结业证书。每个小组项目将由一名港大教授指导，并通过小组展示和书面报告的形式进行测评。表现最佳的小组将获颁最佳项目奖。

主讲人（暂定）:	项目导师（暂定）:
司徒惠源教授	司徒惠源教授
郭永鸿教授	张芳妮教授
柯锦涛教授	李加阳教授
严鑫涛教授	严鑫涛教授
赵展教授	许骏什教授

活动日期: 2027年1月25日（一）至1月29日（五）

地点: 香港大学主校园

活动日程（暂定）:

	1/25	1/26	1/27	1/28	1/29
上午 (9-12)	工作坊签到、项目分组； 讲座：沟通与科研技能（司徒惠源教授主讲）	讲座：大数据分析（赵展教授主讲）	讲座：最优化（郭永鸿教授主讲）	讲座：大语言模型与预测方法（柯锦涛教授主讲）	小组项目咨询
下午 (2-5)	小组项目咨询	讲座：机器学习（柯锦涛教授主讲）	讲座：深度学习（柯锦涛教授主讲） 小组项目咨询	科技考察	小组展示和结业仪式

报名链接: 敬待公布

报名截止日期: 敬待公布

活动名额: 名额有限，先到先得

工作坊注冊费:

• 敬待公布

支付方法: 敬待公布

支付链接: 敬待公布

联系邮箱: hkits@hku.hk

[English version of the texts]

AI and Data Science Winter Workshop

What to expect: This is a 5-day workshop designated for secondary school students or above who wish to strengthen their theoretical knowledge and practical skills in AI and data science. In the 5-day workshop, participants will engage in a diverse range of activities, including lectures (delivered in English) by HKU professors from various departments, hands-on sessions with consultation and supervision, and a technical visit. The lectures will cover a broad spectrum of topics in AI and data science, such as big data analytics, machine learning, deep learning, large language models, forecasting, optimization, and research skills. To earn a certificate of completion, participants are required to satisfactorily complete a group project. Each group project will be supervised by an HKU professor and assessed by a group presentation plus a written report. The group demonstrating the best performance in their project will be presented with the best project award.

Tentative Instructors:	Tentative project supervisors:
Prof. W. Y. Szeto	Prof. W. Y. Szeto
Prof. Yong-Hong Kuo	Prof. Fangni Zhang
Prof. Jintao Ke	Prof. Jiayang Li
Prof. Xintao Yan	Prof. Xintao Yan
Prof. Zhan Zhao	Prof. Junshi Xu

Dates: Jan 25 – Jan 29, 2027 (Mon - Fri)

Venue: HKU Main Campus

Tentative Schedule:

	Jan 25 (Mon)	Jan 26 (Tue)	Jan 27 (Wed)	Jan 28 (Thu)	Jan 29 (Fri)
AM Session (9 am-12 noon)	Reception & Grouping; Lecture: Communication and research skills (by Prof. W. Y. Szeto)	Lecture: Big data analytics (by Prof. Zhan Zhao)	Lecture: Optimization (by Prof. Yong-Hong Kuo)	Lecture: Large language models and forecasting techniques (by Prof. Jintao Ke)	Tutorial and consultation hours for group projects
PM Session (2-5pm)	Tutorial and consultation hours for group projects	Lecture: Machine learning (by Prof. Jintao Ke)	Lecture: Deep Learning (by Prof. Jintao Ke) Tutorial and consultation (5-6pm)	Technical tour: TBD	Group Presentation and closing ceremony

Registration link:

To be released

Registration deadline: To be released

Quota: Limited quota. First-come-first-served.

Registration fee:

• To be released

Payment method & Payment link: To be released

Enquiries: hkits@hku.hk