We are pleased to offer the following workshops on the theme “From Data Sourcing to Web Publishing” from February to April and a hackathon in May 2021.All CUHK students and staff are welcome to join.
Co-organizers: Center for Entrepreneurship, CUHK Library, Data Science and Policy Studies Programme, Department of Cultural and Religious Studies, Department of Management, Department of Social Work, Entrepreneurship and Innovation Minor Programme, School of Journalism and Communication of CUHK
The workshops are classified in five categories:
- Problem Definition
- Data Preparation
- Analysis/Modeling/Validation
- Presentation/Visualization/Storytelling
- Deployment
Students who attend at least one workshop in every category will be issued a certificate of attendance (Introduction to Data Competency Certificate). For those workshops that fall into multiple categories, only one category can be considered for fulfilling the requirement. Students who want to receive the certificate are required to attend at least 5 workshops, with one from each category.
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Visualising Network Relationships with Gephi (Digital Scholarship & Research Data Workshops) |
23 Feb 2021 (Tue) |
3:00 - 4:15 pm |
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The ABC of Digital Competency: A Layman’s Guide to AI, Big Data and Cloud computing Instructor :Prof. Bernard Suen, Center for Entrepreneurship, CUHK AI, Big Data, and Cloud Computing have become the digital infrastructure for application development on the net. Without the cloud forming the backbone for robust operations and outsourcing of core hardware/software system and security services, it won't be possible for businesses and research institutes to scale up their data acquisition, storage, and processing capacities. As the volume, velocity, variety, and veracity of the datasets grow, powerful parallel and distributed processing resources provided by the cloud platforms can enable faster R&D and innovation cycles. Upon such foundation, AI and machine learning technologies can be applied to the huge datasets for building complex analytic models. |
25 Feb 2021 (Thu)
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2:30 - 5:30 pm |
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Introduction to Programming in Python Instructor :Prof. Bernard Suen, Center for Entrepreneurship, CUHK Python is one of the most versatile languages to learn for mastering computer and data science. The simple and elegant syntax of Python makes it an ideal language for beginners. Not only that, Python has also been used by scientists and engineers to build complex models and systems.
Jupyter Notebook will be used in the workshop for programming in Python. |
27 Feb 2021 (Sat)
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9:30 am - 12:30 pm, 2:00 - 5:00 pm |
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Data Scraping and Cleaning for Non-Programmer Invited Speaker: Prof. Liang Hai, School of Journalism and Communication, CUHK In this session, we will introduce how to collect various data automatically from popular websites using API and web scraping. In addition to the basic logics of web crawling and cleaning, we will use KNIME for hands-on demonstration. Remarks: Participants can install KNIME (https://www.knime.com/downloads) to their device prior to the workshop. |
5 Mar 2021 (Fri) |
2:30 - 5:30 pm |
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Detecting Correlation and Relationship in Data Invited Speaker: Dr. Ho Chi Pui, Data Science and Policy Studies Programme, Faculty of Social Science, CUHK This workshop reviews the key techniques in detecting correlation and relationship in data. Key topics to be covered are descriptive statistics, correlation, simple and multiple regression, data visualization and outlier detection. Examples will be used to illustrate the above techniques. |
11 Mar 2021 (Thu)
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2:30 - 4:30 pm |
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Introduction to R for Statistical Analysis (Digital Scholarship & Research Data Workshops) Invited Speaker: Prof. Michael Chan, School of Journalism and Communication, CUHK |
12 Mar 2021 (Fri)
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3:30 - 5:30 pm |
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Beginning Web Publishing II: Programming in JavaScript Instructor: Prof. Bernard Suen, Center for Entrepreneurship, CUHK This hands-on workshop aims to cover the basics of the JavaScript language:
Knowledge of HTML/CSS and concept of DOM (Document Object Model) and box model are required as pre-requisite for signing up the workshop. The attendees are also expected to know how to use a code editor such as Visual Studio Code, Atom, Sublime Text, or Notepad++. |
13 Mar 2021 (Sat)
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9:30 am – 12:30 pm, 2:00 - 5:00 pm |
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Introduction to Internet of Things (IoT) by using Micro:bit This workshop introduces the basic concepts of Internet of Things (IoT). We will use Micro:bit for hands-on demonstration by introducing its basic functions and simple coding. *Please bring your own notebook computer to attend the workshop |
15 Mar 2021 (Mon) | 2:30 - 4:30 pm |
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Introduction to ArcGIS and QGIS for Digital Scholarship Projects (Digital Scholarship & Research Data Workshops) |
16 Mar 2021 (Tue)
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3:00 - 4:30 pm
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Monitoring living environment using Micro:bit Invited Speaker: Mr. Clarence Fong, Meteorologist, United Nations ESCAP/WMO Typhoon Committee Secretariat Temperature and relative humidity vary everyday. A good combination of the both is essential for a comfortable living. This workshop introduces the monitoring of temperature and relative humidity using Micro:bit, how to interpret the readings, and optimize the environment. Simple Javascript programming is required. The readings will be published to the IoT (Internet of Things) platform for user browsing and data sharing. Equipment for this session:
Accessories:
Participants can either
Upon registration, please reply the confirmation email for your choice. *Please bring your own notebook computer to attend the workshop |
19 Mar 2021 (Fri)
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2:30 - 5:30 pm |
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| Introduction to Internet of Things (IoT) by using CocoRobo Basics
This workshop introduces the basic concepts of Internet of Things (IoT) by using CocoRobo and will focus on program design and module usage. *Please bring your own notebook computer to attend the workshop |
23 Mar 2021 (Tue) | 2:00 - 5:00 pm |
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Introduction to SketchUp SketchUp is a free 3D modeling software. This workshop will introduce the basic features and how to design simple 3D models by using SketchUp. |
24 Mar 2021 (Wed) | 2:30 - 4:30 pm | Click here to register | ü | ||||
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Web and Database Programming in Python Instructor: Prof. Bernard Suen, Center for Entrepreneurship, CUHK This workshop aims to introduce Python Flask, a popular web application framework for connecting to SQL (e.g. MySQL) and NoSQL (e.g. MongoDB) databases on the back-end and serving RESTful API requests originated from the front-end (e.g. web browser or mobile) following a MVC (model-view-controller) framework.
*Knowledge of Python, HTML/CSS/JavaScript and SQL databases are required for signing up the workshop. |
10 Apr 2021 (Sat) |
9:30 am - 12:30 pm, 2:00 - 5:00 pm |
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Basics of Data Mining with Weka (Hands-on) (Digital Scholarship & Research Data Workshops) |
15 Apr 2021 (Thu) |
11:00 - 12:30 pm |
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Venue: Online Medium of Instruction: Cantonese (English might be used if users require.) Enquiries: dslab@lib.cuhk.edu.hk |
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* Pre-requisite
More workshop information will be provided later.
Main Theme: Post-COVID-19 Opportunities: What People want to Do After the Pandemic
Tentative Date: 21 (Fri) – 23 (Sun) May 2021
Aims:
- Promoting innovation skills, including data and digital competency, to CUHK students and staff
- Enhancing multi-disciplinary and multi-dimensional collaboration among CUHK students and staff
Description:
- Within 48 hours, participants will apply knowledge and skills from what they have learnt in the pre-hackathon workshops about data mining to solve the current problem in the Post-COVID-19 era. Participants shall select one sub-theme among four and work as a one group to provide a solution in an innovative way.Participants will have a group presentation of their solutions in Day 3.
- The winning presentations will be selected with awards.
Eligibility: CUHK students, 3 to 5 persons per group from 2 different Faculty groups
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Group 2 |
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Faculty of Arts |
Faculty of Science |
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Faculty of Business Administration |
Faculty of Engineering |
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Faculty of Education |
Faculty of Medicine |
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Faculty of Law |
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Faculty of Social Science |
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*More details about the Hackathon will be provided later
