CSE2DV Data Visualization Semester 2 2022
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Data Visualization
CSE2DV
Semester 2 2022
SUBJECTDETAILS
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CSE2DV |
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Subject Title: |
Data Visualization |
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Teaching Period: |
Semester 2 2022 |
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Location(s): |
Melbourne / Bendigo |
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Credit Points: |
15 |
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Delivery Mode: |
Day |
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AQF Level: |
Level 7 (Bachelor’s degree) |
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ENROLMENT REQUIREMENTS |
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Prerequisites: |
None |
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Co-requisites: |
None |
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Assumed Skills & Knowledge: |
Students should be familiar with programming languages. |
problem solving using |
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Special Study Requirements: |
None |
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STAFF CONTACTS |
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Subject Coordinator/ Lecturer: |
Dr Richard Skarbez |
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Email: |
R.Skarbez@latrobe.edu.au |
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Tel: |
03 9479 1280 |
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Location: |
238A Beth Gleeson |
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Consultation time/s: |
Wednesdays 2-4pm or by appointment |
ABOUT THIS SUBJECT
The ability to visualise data is one of the most useful forms of data analysis and data presentation. Data visualisation provides an accessible way to see and understand trends, outliers and patterns in data. Nowadays there are many different tools for collecting and querying data. In order to gain full benefit from the collected data we need to visualise the data. In this subject you will learn the following: how to prepare data for visualisation; the design principles for creating effective data visualisations; and how to communicate your data analysis using reports containing data visualisations. You will learn how to use state of the art software tools for generating insightful and interactive data visualisations.
SUBJECT INTENDED LEARNING OUTCOMES (SILOs)
Upon successful completion of this subject, you should be able to:
- SILO1: Write code to clean and format data in preparation for data visualisation.
- SILO2: Design appropriate and effective visualisations that help users gain deep insight into complex data sets.
- SILO3: Create interactive data visualisations for all users to effectively explore the data.
- SILO4: Generate informative reports using data visualisations.
GRADUATE CAPABILITIES (GC)
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GC |
GC Point |
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Communication |
Digital Capability |
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Inquiry and Analysis |
Creativity and Innovation | Critical Thinking and Problem Solving |
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Personal and Professional |
n/a |
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Discipline Knowledge and Skills |
Yes |
LEARNING ACTIVITIES
Timetable details are available at https://www.latrobe.edu.au/students/your-course/timetables. Students should also regularly check this subject’s LMS site for updated information.
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Session |
Date |
Learning Activities |
Contact hours |
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1 |
18 July 2022 |
Lecture 1 |
2 |
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2 |
25/26 July 2022 |
Lecture 2; Lab 1 |
4 |
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3 |
1/2 August 2022 |
Lecture 3; Lab 2 |
4 |
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4 |
8/9 August 2022 |
Lecture 4; Lab 3 |
4 |
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5 |
15/16 August 2022 |
Lecture 5; Lab 4 |
4 |
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6 |
22/23 August 2022 |
Lecture 6; Lab 5 |
4 |
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7 |
5/6 September 2022 |
Lecture 7; Lab 6 |
4 |
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8 |
12/13 September 2022 |
Lecture 8; Lab 7 |
4 |
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9 |
19/20 September 2022 |
Lecture 9; Lab 8 |
4 |
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10 |
26/27 September 2022 |
Lecture 10; Lab 9 |
4 |
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11 |
3/4 October 2022 |
Lecture 11; Lab 10 |
4 |
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12 |
10/11 October 2022 |
Lecture 12; Lab 11 |
4 |
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Total |
46 |
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Details of any self-allocation activities |
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SELF-DIRECTED STUDY
In addition to the learning activities specified, you are expected to allocate approximately 7 hours per week of self-directed study in this subject. This time includes subject preparation, completing learning activities, readings, assessment preparation and other related work to enhance your participation in this subject and your learning at La Trobe.
LEARNING RESOURCES & TECHNOLOGIES
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Resource Type |
Title |
Author and Year |
Publisher |
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Recommended |
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Book |
Introduction to Information Visualization: Turning Data into Meaningful Information |
Gerald Benoit, 2019 |
Rowman & Littlefield |
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Book |
Information Visualization: An Introduction |
Robert Spence, 2014 |
Springer |
2022-08-03