52685 Working with Data and Code
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Subject handbook information prior to 2025 is available in the Archives.
Credit points: 6 cp
Result type: Grade and marks
Requisite(s): 16 credit points of completed study in spk(s): MAJ10050 Digital and Social Media Major OR 12 credit points of completed study in spk(s): MAJ09479 48cp Digital and Social Media Major OR 12 credit points of completed study in spk(s): MAJ09487 48cp Digital and Social Media Major
Anti-requisite(s): 54063 Code as Literacy, Commodity, Infrastructure
Description
This subject allows students to develop their conceptual and practical understanding of the key themes of code, data and algorithms within the context of designing and building a creative code prototype. It advances students' code and data literacy to enable them to communicate with programmers and technical teams in multidisciplinary environments. Conceptually, students explore code, data and algorithms from historical and social viewpoints, alongside a variety of digital media contexts. Students develop a practical understanding of code, data and algorithms, through a process of 'learning by design' as they prototype their chosen creative code project. As students build their project, they collaborate with peers to deepen their communication and literacy skills. Students critically reflect on their learning experience and demonstrate the development of their code and data literacy.
Subject learning objectives (SLOs)
| a. | Develop fundamental code and data literacy including from historical and social contexts |
|---|---|
| b. | Plan, design and build a creative code prototype |
| c. | Communicate and articulate code concepts within the context of a creative code prototype |
| d. | Engage in self-reflective professional development |
| e. | Collaborate effectively with peers |
Course intended learning outcomes (CILOs)
This subject engages with the following Course Intended Learning Outcomes (CILOs), which are tailored to the Graduate Attributes set for all graduates of the Faculty of Arts and Social Sciences:
- Act in a professional manner appropriate to communication industries (1.1)
- Apply theoretically informed understandings of communication industries to independent and collaborative projects across a range of media (1.2)
- Employ appropriate research and inquiry skills to independently gather, organise and analyse information across diverse platforms (2.1)
- Act as reflexive critical thinkers and innovative creative practitioners who evaluate their own and others' work (2.2)
- Exemplify effective and appropriate communication in different communication industry contexts (6.1)
- Utilise digital literacy and production skills across a range of media (6.2)
Teaching and learning strategies
Face-to-face classes incorporate a range of teaching and learning strategies including case study analysis, presentations, hands-on coding activities and collaborative prototype development. These are complemented by preparatory work prior to attending classes using online resources such as websites and videos, and online technical skill development for certain software using digital resources. Initial classes introduce students to basic coding concepts through practical activities for a variety of coding environments which they can then choose from to create their prototype. As the subject progresses, more time is afforded to prototype development and code creation as they begin to iterate their prototype.
Students receive formative and summative feedback throughout the semester, including from early weeks. Students are provided with formative feedback during classes as their prototypes are developed and become more advanced. Feedback guides both conceptual and technical improvements to their creative code prototype as a result of in-class project demonstrations and user testing. Students receive summative feedback in response to their submitted assessment items that is focused on assessment outcomes. Summative feedback may also provide information on specific aspects of the submitted assessment, strategies for improvement, advancements of strengths, and notable aspects of work. It is provided in written form and will be published along with grades.
Content (topics)
Students are introduced to code and computing practices from historical, social and practical perspectives. Then, in turn, they explore each of the key themes of code, data and algorithms in greater depth. They learn essential principles of data structures and coding languages, how to articulate the operation of their prototype's code, and describe potential future implications of code within society.
Assessment
Assessment task 1: Code Prototype Pitch
| Objective(s): | a, b and c | ||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weight: | 40% | ||||||||||||||||||||||||
| Length: | 3-minute video. | ||||||||||||||||||||||||
| Criteria linkages: |
SLOs: subject learning objectives CILOs: course intended learning outcomes |
Assessment task 2: Code Prototype Project
| Objective(s): | a, b, c, d and e | ||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Weight: | 60% | ||||||||||||||||||||||||
| Length: | 3-minute explainer video, 1000-word personal critical reflection, Git repository. | ||||||||||||||||||||||||
| Criteria linkages: |
SLOs: subject learning objectives CILOs: course intended learning outcomes |
Minimum requirements
Attendance at classes is essential in this subject. Classes are based on a collaborative approach that involves essential workshopping and interchange of ideas with other students and the tutor. A roll will be taken at each class. Students who have more that two absences from class will be refused final assessment (see Rule 3.8).
Required texts
There are no required texts for this subject. Recommended readings will be available via UTS Library and through the subject site.