Course coordinator
Associate Professor Ben Matthews
Course overview
- Study period
- Semester 2, 2025 (28/07/2025 - 22/11/2025)
- Study level
- Undergraduate
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- Elec Engineering & Comp Science School
Topics in social computing - groupware, social software, computer supported cooperative work. Considerations in the design of mobile and ubiquitous computing systems: mobility research; distributed user research; multi-player environments; tangible; physical and wearable computing.
DECO3500 Social and Mobile Computing is concerned with the design of technologies that operate within dynamic social and physical contexts. Social and mobile technologies are those that understand and support the complexities of human interaction and adapt to the changing social and environmental contexts where they will be used. The diverse manifestations of these technologies encompass a range of applications such as collaborative software, the 'Internet of Things', some types of (but not all) mobile apps, embodied interaction, wearable computing devices, and other emerging technologies.
The course considers the following:ﾠ
- concepts of human interaction that underpin interaction design and computer-supported cooperative workﾠ
- issues that affect the design of interactive technologies that operate in and supportﾠ social contexts
- common and context-specific methods and techniques for supporting the effective designﾠ of social and contextual computing applications
The major project for the course will involve the exploration and design of technologies that demonstrate an understanding of the varied social and physical contexts in which technologies are used. Students will work in teams and focus on applying design theory and methods to address specific challenges posed by particular problem domains. An example of could be the design of technologies to support community engagement in local government.
Disclaimer: This is not a mobile application development course, nor a social media development course. Whilst the outcomes of the projects might be in the form of a mobile application or social platform, the focus is on the design implications for technologies in changing (social and mobile) context of use. If you wish to learn about mobile application development, we recommend the course COMP2140 Web/Mobile Programming.
Course requirements
Assumed background
This course is part of the people-centred design stream within the Bachelor of Multimedia Design and the Bachelor of Information Technology (User Experience Design major). It therefore assumes that students have already taken DECO2500 (or DECO7250) Human-Computer Interaction as per the prerequisites. If you have not taken this course do not enrol in DECO3500.
It is also recommended that students have taken DECO1400 (or DECO7140) Introduction to Web Design, DECO1800 (or DECO7180) Design Computing Studio 1 and DECO2300 (or DECO7230) Digital Prototyping. Students are expected to be familiar with the design process adopted in the studio stream courses.
Prerequisites
You'll need to complete the following courses before enrolling in this one:
(DECO2500 or DECO7250) and (CSSE1001 or ENGG1001 or CSSE7030)
Incompatible
You can't enrol in this course if you've already completed the following:
COMP3505 or COMP7705 or DECO7350
Course contact
Course staff
Lecturer
Associate Professor Ben Matthews
Timetable
The timetable for this course is available on the UQ Public Timetable.
Additional timetable information
- Contacts start in Week 1
- Project Tradeshow - during contacts in Week 12
Students are expected to be active learners in this course, making use of opportunities for work to be critiqued, as well as offering constructive criticism to others. Active participation across all sessions is expected in this course, and in-class activities will be a component of assessment.
Aims and outcomes
This course sits at the intersection between information and communications technologyﾠ(ICT) and the social and mobile contexts in which they are used. Students taking this course will be introduced to social and technical concepts related to computer-mediated communication, ubiquitous computing, and other interaction design issues related to the understanding of social settings, and development of mobile and social software to support them. Students willﾠlearn theories and methods related to the design of social and mobile computing systems and combine these with their first hand experience with a range of current social and mobile applications in the context of a collaborative design project. Design skills will be developed through the combined application of the practical and theoretical knowledge gained through the course.
Assessment
Assessment summary
| Category | Assessment task | Weight | Due date |
|---|---|---|---|
| Paper/ Report/ Annotation, Participation/ Student contribution, Tutorial/ Problem Set |
Annotated Portfolio & Learning Reflection
|
x3 INDIVIDUAL |
8/10/2025 1:00 pm
Portfolio activities will be released in teaching weeks and can be completed during the studio sessions. Activity outcomes may include worksheets, discussion records, responses to questions/prompts and will be related to course theory content and/or project progress. |
| Creative Production/ Exhibition, Presentation, Project |
Design Proposal
|
PASS / FAIL |
26/08/2025 - 27/08/2025
Presentations in-class Week 5. |
| Presentation |
Design Prototype Sequence: Stand-up Presentation for formative feedback
|
Formative |
Week 9 Tue - Week 9 Wed
During Week 9 studio sessions |
| Performance, Project |
Design Prototype Sequence: Tradeshow
|
x4 TEAM (combined across all Design Prototype deliverables) |
20/10/2025 - 22/10/2025
Tradeshow in Week 12 studios (including documentation submission on Blackboard). |
| Practical/ Demonstration, Project | Design Prototype Sequence: Artefacts | Summative |
27/10/2025 3:00 pm |
| Examination |
Social & Mobile Computing Exam
|
x3 INDIVIDUAL |
End of Semester Exam Period 8/11/2025 - 22/11/2025 |
A hurdle is an assessment requirement that must be satisfied in order to receive a specific grade for the course. Check the assessment details for more information about hurdle requirements.
Assessment details
Annotated Portfolio & Learning Reflection
- Mode
- Written
- Category
- Paper/ Report/ Annotation, Participation/ Student contribution, Tutorial/ Problem Set
- Weight
- x3 INDIVIDUAL
- Due date
8/10/2025 1:00 pm
Portfolio activities will be released in teaching weeks and can be completed during the studio sessions. Activity outcomes may include worksheets, discussion records, responses to questions/prompts and will be related to course theory content and/or project progress.
- Other conditions
- Student specific.
Task description
Students will be assigned portfolio tasks to complete individually, or in teams, each week throughout the semester. Students are to complete, document, and collect together the work product of these tasks into an annotated portfolio for submission through Blackboard in Week 10. The work product must be annotated by the student with short reflections on what they learned, appreciated, struggled with, were confused by, understood, could appreciate how to apply, etc. through completing the task. Typical tasks may include (a) completing a reading and responding to prompts or questions, (b) working through a method such as affinity diagramming or the ethics-for-design canvas, (c) applying concepts from theory to a given case or scenario.
There will be an optional interim submission opportunity for students to receive formative/indicative feedback on their completed portfolio tasks + annotations mid-way through semester (~Week 6).
The annotated portfolio submission will include a short (~1000 word) summary reflection on the student's learning of the course content, learning objectives and critical assessment of their understanding of social and mobile computing issues.
Note: In rare circumstances of significant team dysfunction, the course coordinator may refer to a student's individual performance on this item of assessment to scale their summative grade on the team assignment in the context of their individual contributions to the team.
The assessment brief and criteria will be released on Blackboard.
AI Use:
Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance.
A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Submission of annotated portfolio & reflection on Blackboard.
Deferral or extension
You may be able to apply for an extension.
Discretionary extensions are not available for this task.
The maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.
As this is a progressive assessment that can be completed throughout the semester, no extension greater than 7 days will be possible.
Late submission
A penalty of 1 grade for each 24 hour period from time submission is due will apply for up to 7 days. After 7 days you will receive a mark of 0.
Late submission penalty will be one grade level (distinction, credit, pass etc.) per day or part thereof from the deadline.
Design Proposal
- Identity Verified
- Team or group-based
- Mode
- Activity/ Performance, Product/ Artefact/ Multimedia
- Category
- Creative Production/ Exhibition, Presentation, Project
- Weight
- PASS / FAIL
- Due date
26/08/2025 - 27/08/2025
Presentations in-class Week 5.
Task description
In your project teams, you are to prepare and deliver a presentation that outlines the problem space and how prototypes will help you better understand the problem space. The presentation should:
- identify the target users/audience and domain, and what makes your ideas different from other offerings,
- link the concepts back to the domain research that informed it and introduce any new literature related to your specific proposal.
- briefly outline the work to be done, what methods you will use and what will be produced as a result.
- briefly identify areas of strength within the team itself, along with opportunities to be leveraged.
The Assessment Task Sheet on Blackboard will provide further detail regarding content and structure of the presentation.
AI Use:
Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance.
A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Submit slides with presentation script to Blackboard. See Assessment Brief for details.
Deferral or extension
You cannot defer or apply for an extension for this assessment.
Extensions for groupwork are typically not available as this impacts on all members of the team.
However, if a group encounters extraordinary difficulties in meeting a deadline, they should contact the Course Coordinator in advance of the due date.
Groups will be asked to meet with the Course Coordinator, and be prepared to present their work, as it stands.
Late submission
This is an in-class, team presentation and an identity-verified assessment. Consistent with industry practice where late submission of documentation etc is not accepted, the stated late penalty applies.
This has been approved by the Associate Dean (Academic).
Design Prototype Sequence: Stand-up Presentation for formative feedback
- Identity Verified
- Team or group-based
- Mode
- Oral
- Category
- Presentation
- Weight
- Formative
- Due date
Week 9 Tue - Week 9 Wed
During Week 9 studio sessions
Task description
This informal stand-up presentation aims to be intentionally short, to the point, and to focus on getting things done; it will focus on current work completed and reviewing future milestones against project progress. Stand-ups are now common-place within industry, and graduates are expected to be proficient at the process.
In this stand-up (Week 9), we expect to see:
- significant progress since Week 5 proposal
- outcomes of user research
- experience requirements derived from user research
- designs for your domain
- one or more non-functioning or partially-functioning prototypes
- (or where this work has not been done, the reasons why)
Stand-up outcomes should be captured in the project documentation as a snapshot of the state of the project and next stages of work. Stand-ups are formative (for feedback) but a compulsory pass/fail component of the project that all team members must attend.
The requirements for this stand-up are outlined in the Design Project Sequence Assessment brief will be released on Blackboard.
AI Use:
This assessment task is to be completed in-person. The use of generative Artificial Intelligence (AI) or Machine Translation (MT) tools will not be permitted. Any attempted use of AI or MT may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
In class, team stand-up.
Deferral or extension
You cannot defer or apply for an extension for this assessment.
This is a formative team presentation; neither late submissions nor extensions will be permitted.
Late submission
This is a formative team presentation; neither late submissions nor extensions will be permitted.
Design Prototype Sequence: Tradeshow
- Identity Verified
- Team or group-based
- Mode
- Oral
- Category
- Performance, Project
- Weight
- x4 TEAM (combined across all Design Prototype deliverables)
- Due date
20/10/2025 - 22/10/2025
Tradeshow in Week 12 studios (including documentation submission on Blackboard).
Task description
Teams of 4 (maximum 5) will develop (a) prototypes and (b) promotional material to communicate your concept and the process you followed to inform and refine your outcomes. As these are to be displayed in a tradeshow at the end of the semester, the prototype and material should standalone to communicate your work. Multi-user prototoypes will be necessary in order to demonstrate how your project successfully delivers a social and mobile experience for different users.
Prototypes will demonstrate an appropriate use of technology to provide insight into the social/mobile problem space that you established in the proposal. Prototypes should demonstrate how the prototyped system succesfully delivers a social and mobile experience to multiple users, on e.g. different platforms or in different contexts of use. The goal is to create something innovative for the purposes of discovering something about the problem space that may help inform future designs, yet high-fidelity and robust enough to be successfully evaluated by users external to the course, and something that delivers an authentic social and mobile experience.
Promotional material. A poster should describe the prototype pair and the larger problem space that you are exploring. You may choose, or need, to produce additional promotional material - video, website, Github pages or other form of media - to further explain and support your prototype at the exhibit. Promotional material should feature all members of the team. Links should be provided to both the promotional material and the Github repository for your project.
During the course of the project, teams will present project progress. These meetings aim to be intentionally short, to the point, and focus on getting things done; and will focus on current work completed and reviewing future milestones against project progress. Stand-ups are now common-place within industry, and graduates are expected to be proficient at the process.
Final prototypes, promotional material and documentation are to be submitted to Blackboard during the tradeshow studio.
Teams are assessed as a unit; all team members receive the same grade for the team deliverable and exhibition.
The 4. Design Prototype Assessment Task Sheet will be released on Blackboard and will provide further details of required content, structure, tradeshow requirements and stand-up milestone expectations.
AI Use:
Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance.
A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Team presentation/demonstration at tradeshow in Week 12 studios (including documentation submission on Blackboard).
Deferral or extension
You cannot defer or apply for an extension for this assessment.
Extensions for groupwork are typically not available as this impacts on all members of the team.
However, if a group encounters extraordinary difficulties in meeting a deadline, they should contact the Course Coordinator in advance of the due date.
Groups will be asked to meet with the Course Coordinator, and be prepared to present their work, as it stands.
Late submission
You will receive a mark of 0 if this assessment is submitted late.
Consistent with industry practice where late submission of documentation etc is not accepted, the stated late penalty applies.
This has been approved by the Associate Dean (Academic).
Design Prototype Sequence: Artefacts
- Mode
- Product/ Artefact/ Multimedia
- Category
- Practical/ Demonstration, Project
- Weight
- Summative
- Due date
27/10/2025 3:00 pm
Task description
Teams will submit their final prototypes, promotional material and documentation to Blackboard following the tradeshow for final grading of the Design Prototype assessment.
The Design Prototype Assessment Task Sheet will be released on Blackboard and will provide further details of required content, structure, tradeshow requirements and stand-up milestone expectations.
AI Use:
Artificial Intelligence (AI) and Machine Translation (MT) are emerging tools that may support students in completing this assessment task. Students may appropriately use AI and/or MT in completing this assessment task. Students must clearly reference any use of AI or MT in each instance.
A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Submit to Blackboard.
Deferral or extension
You cannot defer or apply for an extension for this assessment.
Extensions for groupwork are typically not available as this impacts on all members of the team.
However, if a group encounters extraordinary difficulties in meeting a deadline, they should contact the Course Coordinator in advance of the due date.
Groups will be asked to meet with the Course Coordinator, and be prepared to present their work, as it stands.
Late submission
A penalty of 1 grade for each 24 hour period from time submission is due will apply for up to 7 days. After 7 days you will receive a mark of 0.
Social & Mobile Computing Exam
- Hurdle
- Identity Verified
- In-person
- Mode
- Written
- Category
- Examination
- Weight
- x3 INDIVIDUAL
- Due date
End of Semester Exam Period
8/11/2025 - 22/11/2025
- Other conditions
- Secure.
Task description
The exam will typically consist of approximately 50% multiple choice questions and 50% short answer or short design questions. This is a secure assessment and a pass hurdle for the course.
This assessment task is to be completed in-person. The use of generative Artificial Intelligence (AI) or Machine Translation (MT) tools will not be permitted. Any attempted use of AI or MT may constitute student misconduct under the Student Code of Conduct.
Hurdle requirements
This assessment item is a pass hurdle. Students must pass the exam in order to pass the course.Exam details
| Planning time | 10 minutes |
|---|---|
| Duration | 120 minutes |
| Calculator options | No calculators permitted |
| Open/closed book | Closed book examination - no written materials permitted |
| Materials | A clean physical dictionary (including dual-language dictionary) may be permitted, provided there are no annotations, notes or other added material on the pages. |
| Exam platform | Paper based |
| Invigilation | Invigilated in person |
Submission guidelines
Deferral or extension
You may be able to defer this exam.
Course grading
Full criteria for each grade is available in the Assessment Procedure.
| Grade | Description |
|---|---|
| 1 (Low Fail) |
Absence of evidence of achievement of course learning outcomes. Course grade description: Students who achieve this grade will have failed to demonstrate most of the learning objectives of this course in most of the major items of assessment, and/or failed to achieve meet the pass hurdles for the course. This grade is achieved by combining the grades received in each of the assessments, according to their relative weightings. |
| 2 (Fail) |
Minimal evidence of achievement of course learning outcomes. Course grade description: Students who achieve this grade will have not sufficiently demonstrated a number of the learning objectives of this course, and/or failed to achieve meet the pass hurdles for the course. This grade is achieved by combining the grades received in each of the assessments, according to their relative weightings. |
| 3 (Marginal Fail) |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: Students who achieve this grade fall short of sufficient understanding of the concepts and skills in the field; fail to communicate ideas clearly; fall short of basic requirements in the design, evolution and discussion of social & mobile computing solutions; failed to achieve meet the pass hurdles for the course. This grade is achieved by combining the grades received in each of the assessments, according to their relative weightings. Note that supplementary assessment is not available for the team project components of assessment (approved by the EAIT Associate Dean, Academic). |
| 4 (Pass) |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: Students who achieve this grade demonstrate satisfactory understanding of basic concepts and skills of the field; ability to communicate ideas clearly; ability to design and propose social & mobile computing solutions that demonstrate a functional application of theory; analysis of existing research/theory and ability to link it to one's own design work through reflection. Pass hurdle: Achieves at least a passing grade across the team-based assessment (Design Proposal, Design Prototype Sequence) and at least a passing grade in the Exam. This grade is achieved by combining the grades received in each of the assessments, according to their relative weightings. |
| 5 (Credit) |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: Students who achieve this grade demonstrate a proficient understanding of basic concepts and skills of the field; ability to communicate ideas clearly; ability to design, propose and iterate social & mobile computing solutions that demonstrate considered application of theory; critical analysis of existing work and ability to link it to one's own design work through reflection; ability to identify critical issues and suggest solutions to problems. Engagement with course material through active participation; effective collaboration and cooperation in team work. Pass hurdle: Achieves at least a passing grade across the team-based assessment (Design Proposal, Design Prototype Sequence) and at least a passing grade in the Exam. This grade is achieved by combining the grades received in each of the assessments, according to their relative weightings. |
| 6 (Distinction) |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: Students who achieve this grade demonstrate an advanced understanding of the field and ability to draw links between critical issues; effective communication of ideas; ability to design, propose & iterate social & mobile computing solutions that demonstrate critical application of theory; ability to identify critical issues and suggest effective solutions to problems; critical analysis of existing works, literature and ability to evaluate new challenges; ability to document and critically reflect on contemporary research and own design work. Engagement with course material through active participation; effective collaboration and cooperation in team work. Pass hurdle: Achieves at least a passing grade across the team-based assessment (Design Proposal, Design Prototype Sequence) and at least a passing grade in the Exam. This grade is achieved by combining the grades received in each of the assessments, according to their relative weightings. |
| 7 (High Distinction) |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: Students who achieve this grade demonstrate an exceptional understanding of the field at a deeper level and ability to draw links between fields and theories; effective communication of ideas; originality in research design and ability to resolve problems effectively and innovatively; critical analysis and synthesis of existing works and literature and ability to point out new challenges. Ability to critically reflect on and refine own practice and process. Engagement with course material through active participation; effective collaboration and cooperation in team work. Pass hurdle: Achieves at least a passing grade across the team-based assessment (Design Proposal, Design Prototype Sequence) and at least a passing grade in the Exam. This grade is achieved by combining the grades received in each of the assessments, according to their relative weightings. |
Additional course grading information
Identify Verified Assessment:
The assessments Design Proposal; Design Protoype Sequence: Stand-up (in-person presentation); Design Protoype Sequence: Tradeshow ﾠ(in-person presentation); Social & Mobile Computing Exam are all identity-verified.
Pass conditions for the course:
In order to pass the course, students will need to:
- Achieve at least aﾠ Pass (4) grade ﾠfor the team project (as the combination of Design Proposal and Design Prototype Sequence).ﾠ In the case of unresolvable team dysfunction, individual scaled marks may be used.
- And at least a Pass (4) grade for the Exam assessment
Failure to meet these requirements will result in the final grade being capped at ﾠFail (3) regardless of performance in other assessment items.
Supplementary assessment will not be available to students who fail to meet the team-based pass conditions (Approved by EAIT AD(A)).
Qualitative Grading:
Grades for assessment during the semester will identify your work as being of a particular standard from the following list:
- No assessable work received (X) - applies to late or non-submission of assessment items.
- Low Fail (1)
- Fail (2)
- Marginal Fail (3)
- Pass (4)
- Credit (5)
- Distinction (6)
- High Distinction (7)
These grades map directly to the standard UQ Grade descriptors. It is recommended that you read the descriptors and example criteria that are associated with each of the UQ grade standards. Note, that percentages or numerical marksﾠ are not requiredﾠ in grading assessment or for calculatingﾠ grade cutoffs. Percentage cutoffs ﾠare primarily employed in courses that utilise quantitative (numerical based) methods for marking.ﾠ
The final grade for the course will be initially constructed from the individual grades according to assessment weightings. It will then be reviewed & moderated based on overall performance across the course and pass hurdle requirements.
Calculation of Final Grade:
Your final grade will be calculated as a weighted average of your assessment grades, using the same formula as used for calculating your GPA (https://my.uq.edu.au/information-and-services/manage-my-program/exams-and-assessment/final-grades-and-gpas). In this case, U equals the weighting for that particular assessment item; and G equal to the grade for the assessment item.
Supplementary assessment
Supplementary assessment is not available for some items in this course.
Supplementary assessment will not be available to students who fail to meet the team-based pass conditions
Additional assessment information
Team Work / Group work
In recognition of the fact that teamwork might not always run smoothly, there is a process students can follow if their team experiences conflict.
In the case of team conflict or non-contact from a team member, you must inform the Course Coordinator as soon as possible so that they can be made aware of the situation and can assist you in addressing any issues within the team.ﾠ
Formative team performance reviews will be conducted during the project with check ins by the teaching team to identify areas of conflict, concern and opportunity. These performance reviews will not impact on individual marks but may be used in cases of severe team dysfunction to inform course coordinator action.
It will be the first priority of teaching staff to ensure that all efforts have been made within the team/group to resolve the conflict or communication issues within the team. In the event that conflicts cannot be resolved to the satisfaction of the team, the Course Coordinator reserves the right to vary marks for each team member.ﾠ Please note, this is considered to be a final resort in the case that conflict cannot be resolved.
Use of Generative AI Tools
The assessment in this course has been designed to be challenging, creative and complex. Whilst you may use generative AI technologies, successful completion of assessment in this course requires you to critically engage in specific contexts and tasks for which generative artificial intelligence tools will provide limited support and guidance.
So Artificial Intelligence (AI) and Machine Translation (MT) are not forbidden for students to use in completing assessment tasks. Students must clearly reference any use of generative AI in each instance and you will be asked to provide statements for relevant assessment items as to how those tools have been used, along with a copy of the prompts you have submitted to the tool.
For any of the assessments (presentations, reports etc.) you must indicate any text or diagrams that were produced with the assistance of generative AI tools. In presentations, footnotes should indicate which AI system was used. In the project documentation, an appendix should be included indicating which specific sections or diagrams were AI-supported, and by which system, along with a copy of the prompts submitted to the tool.
For any programming or implementation assessment components in the project, you may use generative AI tools (e.g. copilot) to assist you in writing code to implement your solutions. You may also use generative AI tools to help you test your implementations. You must clearly indicate any and all generative AI tools that you used and the extent of their use. (e.g. All code was written by providing copilot with class descriptions and then revising the generated code).
Failure to reference use of generative AI tools constitutes student misconduct under the Student Code of Conduct. Furthermore, work submitted that is substantially or entirely the product of generative AI, even where cited appropriately, and while not misconduct, may still be considered as without academic merit, resulting in a student failing the assignment. This is because assessment criteria is designed to assess a student's own understanding, creativity, and ability.
Having Troubles?
If you are having difficulties with any aspect of the course material you should seek help. Speak to the course teaching staff.
If external circumstances are affecting your ability to work on the course, you should seek help as soon as possible. The University and UQ Union have organisations and staff who are able to help, for example, UQ Student Services are able to help with study and exam skills, tertiary learning skills, writing skills, financial assistance, personal issues, and disability services (among other things).
Complaints and criticisms should be directed in the first instance to the course coordinator. If you are not satisfied with the outcome, you may bring the matter to the attention of the School of EECS Director of Teaching and Learning.
Learning resources
You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.
Library resources
Library resources are available on the UQ Library website.
Additional learning resources information
Basic course coordination will take place via the course Blackboard site - available by logging in to ﾠhttps://learn.uq.edu.au.
Students are expected to regularly check Blackboard, or configure it to receive important announcements with regard to this course. As per the Student Charter, students are expected to check their university email daily. It is expected that students keep up to date and informed regarding activities in the course.
As a course which focuses on understanding the design and use of social software, we will also use social software platforms for course communication and online collaboration.
This semester, we plan to use:
- EdDiscussion for asynchronous class discussions.
- Miro is another online social collaboration tool we plan to use for the course (accessible via miro.com).
- For academic resources and citation management, we will have a shared group library at Zotero (accessible via https://www.zotero.org/ which will be provided on Blackboard). Zotero is an online, open source, collaborative citation management system (similar to EndNote but with collaborative features).
Learning activities
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
Please select
| Learning period | Activity type | Topic |
|---|---|---|
Multiple weeks |
Studio |
Social & Mobile Computing Studio Twice weekly contact sessions will deliver and explore theoretical and methodological aspects of the course. |
Policies and procedures
University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:
- Student Code of Conduct Policy
- Student Integrity and Misconduct Policy and Procedure
- Assessment Procedure
- Examinations Procedure
- Reasonable Adjustments for Students Policy and Procedure
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.