COMPX532-22A (NET)

Information Visualisation

15 Points

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Division of Health Engineering Computing & Science
School of Computing and Mathematical Sciences
Department of Computer Science

Staff

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Convenor(s)

Lecturer(s)

Administrator(s)

: buddhika.subasinghe@waikato.ac.nz

Placement/WIL Coordinator(s)

Tutor(s)

Student Representative(s)

Lab Technician(s)

Librarian(s)

: alistair.lamb@waikato.ac.nz

You can contact staff by:

  • Calling +64 7 838 4466 select option 1, then enter the extension.
  • Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
    • For extensions starting with 4: dial +64 7 838 extension.
    • For extensions starting with 5: dial +64 7 858 extension.
    • For extensions starting with 9: dial +64 7 837 extension.
    • For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension e.g. 3123 = +64 7 262 0123.
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Paper Description

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Information visualisation concerns the design and implementation of presentations of often complex information in such a way that users are able to efficiently and effectively extract the relevant features in and for their given context, and are able to gain insight about the information which might not otherwise have been possible. This paper aims to provide an awareness of the potential offered by visualisation techniques, a familiarity with the underlying concepts, and an understanding and ability to effectively design and apply information visualisations in a given context.

The learning outcomes for this paper are linked to Washington Accord graduate attributes WA1-WA11. Explanation of the graduate attributes can be found at:

https://www.ieagreements.org/

This paper will be delivered entirely on-line.

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Paper Structure

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There will normally be two pre-recorded lectures made available each week, but there will also be scheduled Zoom tutorial sessions (usually at least 2 alternate times) for student presentations and discussion of assignments (see class schedule). Attendance at all scheduled Zoom sessions is expected; 10% of the total mark for the paper will be allocated for class participation. it is important that the recorded lectures be viewed in sequence and on schedule. The course notes provided are not comprehensive; additional material will be covered in the lectures.
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Learning Outcomes

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Students who successfully complete the paper should be able to:

  • Understand the potential offered by different visualisation techniques, and have a familiarity with the underlying concepts; (WA1, WA5)
    Linked to the following assessments:
    Assignment 1: Visualisation examples (1)
    Assignment 2: Representation & Interaction (2)
    Assignment 5: Project (normally completed by groups of 3 students) (5)
  • Select appropriate techniques to communicate information visually; (WA9)
    Linked to the following assessments:
    Assignment 2: Representation & Interaction (2)
    Assignment 3: Relationships (3)
  • Understand and effectively design and apply information visualisations in a given context; (WA2, WA3)
    Linked to the following assessments:
    Assignment 4: Navigation (4)
    Assignment 5: Project (normally completed by groups of 3 students) (5)
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Assessment

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All students should ensure they submit assignments by the due date. Each assignment submissions should be in the form of a single PDF file, unless you are submitting code, in which case additional files in other formats will be accepted.
The final assignment is agroup project, normally with 3 or 4 people, but because of the NET mode delivery this year, it is possible for individuals or pairs to propose and complete a project.

If you are enrolled in a BE(Hons), samples of your work may be required as part of the Engineering New Zealand accreditation process for BE(Hons) degrees. Any samples taken will have the student name and ID redacted. If you do not want samples of your work collected then please email the engineering administrator, Natalie Shaw (natalie.shaw@waikato.ac.nz), to opt out.

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Assessment Components

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The internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam. The final exam makes up 0% of the overall mark.

The internal assessment/exam ratio (as stated in the University Calendar) is 100:0 or 0:0, whichever is more favourable for the student. The final exam makes up either 0% or 0% of the overall mark.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. Assignment 1: Visualisation examples
23 Mar 2022
11:30 PM
10
  • Online: Submit through Moodle
2. Assignment 2: Representation & Interaction
6 Apr 2022
11:30 PM
10
  • Online: Submit through Moodle
3. Assignment 3: Relationships
4 May 2022
11:30 PM
10
  • Online: Submit through Moodle
4. Assignment 4: Navigation
18 May 2022
11:30 PM
20
  • Online: Submit through Moodle
5. Assignment 5: Project (normally completed by groups of 3 students)
22 Jun 2022
11:30 PM
40
  • Online: Submit through Moodle
6. Class participation
10
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
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Required and Recommended Readings

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Recommended Readings

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Spence, R. (2014) Information Visualisation: An introduction, (3rd Edition), Springer.
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Other Resources

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Other suggested readings are given on the Moodle pages.
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Online Support

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All materials, lecture recordings, lecture slides, assignments, etc, are distributed via Moodle.
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Workload

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Students are expected to spend ~12 hours per week on this course during the 12 weeks of the semester, including lecture viewing and tutorial time.
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Linkages to Other Papers

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Prerequisite(s)

Prerequisite papers: 45 points at 300 level in Computer Science, Electrical and Electronic Engineering, Software Engineering, Communication Design, Interface Design or Media Design.

Corequisite(s)

Equivalent(s)

Restriction(s)

Restricted papers: COMP432, COMP532, CGRD532, DSIGN532

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