University of Technology Sydney

94674 Technology Lab 1: Imagine and Create

Warning: The information on this page is indicative. The subject outline for a particular session, location and mode of offering is the authoritative source of all information about the subject for that offering. Required texts, recommended texts and references in particular are likely to change. Students will be provided with a subject outline once they enrol in the subject.

Subject handbook information prior to 2021 is available in the Archives.

UTS: Transdisciplinary Innovation
Credit points: 8 cp

Subject level:


Result type: Grade and marks


This first lab is a playful exploration of digital technologies and technological practices that different disciplines and professions use to imagine and create. Tools for coding, modelling, analysing, visualising, augmenting experience and prototyping are introduced practically, explored imaginatively and curated as technological practices to be expanded in later subjects. Through their experimentation, students are guided to develop ways of working with data, computational thinking and technological ideas. In this lab, a remix culture is also introduced to foster connecting tools, methods and techniques together to generate new possibilities. Using a wide range of digital tools creatively, students work in teams to develop technological provocations/prototypes and speculate on the role, application and value of technology in different situations.

Subject learning objectives (SLOs)

Upon successful completion of this subject students should be able to:

1. Imagine technological possibilities as practices incorporating expertise from diverse disciplinary and professional contexts
2. Apply computational thinking concepts to experiment with coding and to prototype
3. Use and examine computational practices, including debugging, testing, and remixing others' work
4. Explore and test principles of structuring complex systems, such as abstraction, decomposition, classification, to a constrained problem
5. Create experimental technological provocations/prototypes, choosing from existing tools
6. Explain the value of computational and quantitative reasoning in exploring complex problems

Course intended learning outcomes (CILOs)

This subject contributes specifically to the development of the following course intended learning outcomes:

  • Critically examine technologies to enhance doing things in social and professional contexts (1.1)
  • Use script, digital tools, techniques and practices to build applications and devices (1.2)
  • Explore different representations of a problem and conceptualise at multiple levels of abstraction (1.3)
  • Develop models and prototype using appropriate digital techniques, tools and technologies (1.5)
  • Identify and represent the components and processes within complex systems and organise them within relational frameworks (4.1)

Contribution to the development of graduate attributes

Your experiences as a student in this subject support you to develop the following graduate attributes:

Graduate Attribute 1 - Technological fluency and computational thinking

Graduate Attribute 4 - Resilient practices within complex systems

Teaching and learning strategies

Learning in this subject takes place through hands-on technology labs, collaborative building, and group discussions. Students work with academics and mentors to undertake a project to design speculative technologies as individuals and teams. By applying computational thinking, creative approaches and research methods, students explore the design and implications of technology, and explore pathways for development of technology and their own technology-based skills.

This subject comprises of 4 hours per week of experimental technology lab classes, which is supplemented by online modules and out-of-class project work and activities. Students are required to prepare for each class by completing pre-work, and learning skills and technologies through research and construction of their provocative prototype. These are then practically applied and developed through guidance in class through interactive seminars, tutorials and/or workshops. Students are given formative feedback on their progress in the subject, both in class face-to-face (weekly) and on all assessment tasks (via Canvas)

Content (topics)

  • Introduction to data and quantitative reasoning
  • Multidisciplinary perspectives on technology and data
  • Abstraction and modelling of constrained scenarios I
  • Introduction to coding for prototyping and computational thinking
  • Technology experimentation incorporating remixing


Assessment task 1: Technology experimentation


This task addresses the following subject learning objectives:

1, 4, 5 and 6

This assessment task contributes to the development of course intended learning outcome(s):

1.1, 1.3, 1.5 and 4.1

Type: Report
Groupwork: Group, group and individually assessed
Weight: 50%

Assessment task 2: Speculative provocations/prototype


This task addresses the following subject learning objectives:

2, 3, 5 and 6

This assessment task contributes to the development of course intended learning outcome(s):

1.2, 1.5 and 4.1

Type: Demonstration
Groupwork: Group, individually assessed
Weight: 30%

Assessment task 3: Technology remix and learning fieldnotes


This task addresses the following subject learning objectives:

3, 4 and 6

This assessment task contributes to the development of course intended learning outcome(s):

1.2, 1.3 and 1.5

Type: Journal
Groupwork: Individual
Weight: 20%

Minimum requirements

Students must attempt each assessment task and achieve an overall pass mark in order to pass this subject.

Late penalties apply to all assessment tasks as outlined in the FTDiFYI student booklet. Please consult this booklet for other useful information including Special Consideration, Plagiarism, Extension, and Student Support Services.

A minimum of 80% of attendance of classes (as outlined in the timetable) is required.

Required texts

No required texts. Readings and resources will be provided online.

Other resources

For completion of the practical work in class in this subject, students are expected to use their own laptop, and bring it to class each week. Students without a laptop that can be used in class are advised to contact the Subject Coordinator.