VAProject

ISSS608 Visual Analytics and Applications

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Weekly Session

Assignments

Visual Analytics Project

Course Resources

Overview

The purpose of this project is to provide you with 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. You are encouraged to focus on research topics that are relevant to your field of study. It should address a concrete visual analytics problem and should propose a novel and creative solution.

The project is to be done in a team. You are required to form a project team of 2-3 members by the first week of the academic term. Each project team must start thinking about their project ideas after the first lesson. You are expected to discuss your project topic and scope of works with the instructor before lesson 7. A project website must be prepared and uploaded to the course wiki page by lesson 7.

Each project team will be responsible for presenting the project twice. The initial presentation should describe the visualization problem 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 presentation as a chance to get feedback on the direction of the project from their peers.

All project teams will give a poster presentation outlining the motivation of the project, design principles, implementation process, analytical methods used and findings of their project in lesson 14.

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.
• Interim project review and wiki update: by Week 9.
• Submission of project poster: by 9.00am 31st July 2017.
• Visual Analytics Conference and Poster: 5th August 2017, 9:00am-6:00pm
• Submission of final project paper and artifacts: 6th August 2017 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.

Initial Project Presentation

A good way to assess the strengths and weaknesses of your project proposal is to present your ideas to your classmates for feedback. Thus, each group will be expected to initially present their project to the rest of the class during Week 8 or 9. The presentation should expand on the project proposal and include, but not limited to the following material:

• description of the problem and motivation, explaining why it is worth addressing.
• a background survey of related work and a list of references. Include the 2-3 most relevant pieces of prior work in your presentation.
• post your full list of references to your wiki page.
• a list of the key technical challenges your group expects to face and a description (or storyboard) of the approach you plan to use to address the challenge.
• a list of milestones breaking the project into smaller chunks and a description of what each person in the group will work on.

Note: Before giving your presentation, you should create a new wiki page for your presentation submission, linked from your final project page. Be sure to include a Comments directive at the bottom of the page so that your classmates can share feedback. After giving your presentation, you should add a link to your slides and other presentation materials to this wiki page.

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 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.
  • Sample Installation Guide

• User Guide - Step-by-step guide on how to use the data visualisation functions designed.
  • Sample User Guide

Grading

The visual analytics project will account for 45% of your final grade in the course. The distribution of marks for each stage of the project are as follows:

• Poster 10%
• Practice Research Paper 15%
• Artifacts 15%

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

SIS Undergraduate

• IS428 Year 2012-13 Term 1 [2]
• IS428 Year 2013-14 Term 1 [3]
• IS428 Year 2014-15 Term 1 [4]
• IS428 Year 2015-16 Term 1 [5]
• IS428 Year 2016-17 Term 1 [6]

MITB (Analytics)

• ISSS608 Year 2013-14 Term 3B [7]
• ISSS608 Year 2014-15 Term 3B [8]
• ISSS608 Year 2015-16 Term 1 [9]
  • Oooh Shiny! [10]
  • Kong Simi - A visual earpiece into the Singapore Parliament [11]
• ISSS608 Year 2016-17 Term 1 [12]
  • Project A - The Non-Conventional Sales Dashboard for Company A [13]
  • [14]

Looking for Project?

VAST Challenge

• VAST Challenge 2015 [15]
• VAST Challenge 2014 [16]
• VAST Challenge 2013 [17]
• VAST Challenge 2012 [18]
• VAST Challenge 2011 [19]

Other Source

• Open Challenges at Visualizing Data [20]
• Human Development Data Visualization Competition [21]
• Bank of England: Data Visualisation Competition [22]