VAProject
ISSS608 Visual Analytics and Applications
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Contents
Overview
The purpose of the project is to provide students first hand experience on collecting, processing and analysing large business data using real world data. A project may involve developing new methods or implementing visual analytics system to support analytic tasks in specific domains. Alternatively, a project may be in the form of application development by integrating analytical tools within a visual analytics environment. Students are encouraged to focus on research topics that are relevant to their field of study. It should address a concrete visual analytics problem and should propose a novel and creative solution.
The project is team work. Students are required to form a project team of 2-3 members by the first week of the academic term. Each project teams must start thinking about their project ideas after the first lesson. They are expected to discuss their project topic and scope of works with the instructor before the end of week 6. A project proposal will be prepared and uploaded onto the course wiki by week 7.
The project proposal should describe the motivation of the project, problems or issues that the project will address, the relevant related work, the approach the team plans to take to solve the problem, and early prototypes or storyboards. The project teams should take advantage of this proposal as a chance to get feedback on the direction of the project from their peers.
In week 14, all project teams will give a 30-minutes presentation at the Visual Analytics workshop outlining the motivation of the project, design principles, implementation process, analytical methods used and findings of their project. This will follow by an evening poster presentation session.
Students are required to update their project wiki with all the details including the final implementation, user guide and lesson learned by the end of week 14. They are also required to upload the artifact including the application onto e-Learn.
Additional materials will be uploaded into course wiki and explain in class to assist students with topics selection, project design, postal presentation, and research paper writing.
Project Milestone
- Formulation of project ideas and create project page on course wiki: before Lesson 7.
- Submission of project poster: by 9.00am 8th August 2018.
- Visual Analytics Conference and Poster: 11th-12th August 2018, 9:00am-6:00pm
- Submission of final project paper and artifacts: 12th August 2018 by 11:59pm (mid-night)
Project Deliverables
Project Proposal
As a first step, you should create a project proposal (in the form of a wiki page) that includes the names of the members in your group and a short (1 to 2 paragraphs) description of the visual analytics issues or problems you would like to address. Please refer to the last section of this page for instructions on making the wiki page for the visual analytics project. This sample assignment page gives an example of the kind of the page format you might wish to use for the project.
Poster
The project poster should provide an overview of your project. It should include, but not limited to the following information:
- Issues and problems - A clear statement of the issues or/and problems your project addresses.
- Motivation - An explanation of why the issues and/or problems are interesting and what make them difficult to solve.
- Approach - A description of the techniques or algorithms you used to solve the problem.
- Results - Screenshots and a working demo of the system you built.
- Future Work - An explanation of how the work could be extended.
The dimensions for the poster must conform to the International Standards Organization (ISO) poster size format (A1).
- Size = ISO A1 (594 × 841mm or 23.39 × 33.11inci)
- Resolution = 300dpi or above
- File format = jpeg
Please ensure that the poster is in high resolution.
The course instructor will be responsible for printing your poster. You are required to upload your posters to the wiki page of your project one week and your project Dropbox before the poster presentation.
Note: The poster will be considered a final deliverable, so don't forget to apply good visual design and data visualisation principles and best practice to your poster.
Visual Analytics Conference and Poster Presentation
We will organise a conference and poster presentation of the final projects. The presentation will be in the form of a practice research presentation and a poster session and live demo. You are required to bring a laptop with a working demo of your system. You should set up the laptop near your poster and use it to explain your project.
- Conference Venue: SIS SR B1-1 Basement 1
- Poster Venue: SIS Faculty and Student Lounge Basement 1.
- Time: 9:00am-6:00pm
During the presentation session, visitors and course instructor will view the various posters that are put up and pose questions to find out more details of the project. Be prepared to give a short 5-10 minute oral explanation and demo of what you did.
Final Deliverables
The final deliverables will include:
- artifact, an implementation of your system (source code and executable)
- a research paper (not more than 6 pages)
- a wiki-based final report
The wiki-based final report should be in the form of Visual Analytics Application report. In particular it should contain the followings:
- Motivation of the application
- Review and critic on past works
- Design framework - A detail description of the design principles used and data visualisation elements built (Refer to Section 3: Interface of this paper [1].
- Demonstration - Sample test cases
- Discussion - What has the audience learned from your work? What new insights or practices has your system enabled? A full blown user study is not expected, but informal observations of use that help evaluate your system are encouraged.
- Future Work - A description of how your system could be extended or refined.
- Installation guide - including hardware configuration and software integrationn.
- User Guide - Step-by-step guide on how to use the data visualisation functions designed.
Grading
The visual analytics project will account for 40% of your final grade in the course. The distribution of marks for each stage of the project are as follows:
- Wiki 25%
- Poster 15%
- Presentation 20%
- Artifact 40%
The course instructor will consider strongly the novelty of the idea (If it has never been done before, you will get lots of credit!), how it addresses the problem at hand, the methodology you employ in doing the research, and your technical skill in implementing the idea.
In small group projects, each person will be graded individually. A good group project is a system consisting of a collection of well defined subsystems. Each subsystem should be the responsibility of one person and be clearly identified as their project. A good criteria for whether you should work in a group is whether the system as a whole is greater than the sum of its parts!
Grading criteria for poster
The poster will be graded based on the following criteria:
- Clear communication of key aspects of solution
- Clear communication of design approaches
- Clear communication of arguments for proposed solution
- Craft quality of the solution
Grading criteria for poster presentation
The poster presentation will be judged based on:
- Clarity and organization of the oral presentation
- Relevance and clarity of presentation material (poster and live demo,etc)
- Quality of argument used to justify why the solution is worthy of consideration
- Quality, originality and relevance of design solution
Sample Projects
Note that the following examples are for references purposes. You are urge to use your own creativity and innovation to design the application
MITB (Analytics)
- ISSS608 Year 2013-14 Term 3B [2]
- ISSS608 Year 2014-15 Term 3B [3]
- ISSS608 Year 2015-16 Term 1 [4]
- ISSS608 Year 2016-17 Term 1 [7]
- ISSS608 Year 2016-17 Term 3 [10]
- ISSS608 Year 2017-18 Term 1 [11]
Looking for Project?
VAST Challenge
- VAST Challenge 2017 [12]
- VAST Challenge 2016 [13]
- VAST Challenge 2015 [14]
- VAST Challenge 2014 [15]
- VAST Challenge 2013 [16]
- VAST Challenge 2012 [17]
- VAST Challenge 2011 [18]
