Student Helper JD - JOUR2106 Lab Assistant

Looking for one HKBU student helper to assist the hands-on lab exercise of JOUR2106 Data Visualisation for News. The work includes assisting in-class exercise session every Saturday morning 9:30am - 12:30pm and helping troubleshoot technical problems for student projects. As this is a new course offered in the university, you have the opportunity to work closely with the instructor to shape the course materials and collaborate in an open source way (Find course materials on GitHub). Allowance at standard BU student helper rate will be offered, 3 hours per week for consecutive 10 weeks.

Requirement:

  1. A fast learner who will rapidly acquire the technical skills taught in the course, including HTML, CSS, Javascript, eCharts, D3, Leaflet, ...
  2. An interest in applying web technology to make interactive data visualisation in the news reporting domain
  3. A computer science or electronic engineering background is preferred but not mandatory. It suffices if you can pickup essential skills ahead of the rest of the class.

Course Introduction

As data becomes increasingly important in news reporting, this course helps students learn the fundamental principles, tools and workflow to visualise data. Each class is composed of half lecture session and half lab session so that students can get adequate guided exercises. The course mainly focuses on data visualisation although it covers basic data analytics and data journalism workflow just to be self-contained. Among many visualisation techniques and tools, this course focuses on the web stack, because most content are distributed via (mobile) web-based technology at present. Students will learn the end-to-end production and deployment of a web-based story, foundations of HTML/CSS/Javascript and visualisation libraries like eCharts, D3, Leaflet, ... By finishing this course, students are expected to build one web-based data visualisation news story and distribute the project via their own websites.

Course Instructor

Pili Hu is the lead of technology team of Initium Media and Lion Finance. While affiliated with Initium as Data Scientist and Director of Initium Lab, he led the project of Analysing Hong Kong Legislative Council Voting Records and won SOPA 2016 Excellence in Infographics. He is also active participant in local open source, open data and hacks & hackers community.

Contact

Interested students please send your CV to e@hupili.net by Feb 3, 2017.