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2022 unit information
Unit delivery will be in line with the most current COVIDSafe health guidelines. We continue to tailor learning experiences for each unit to achieve the best possible mix of online and on-campus activities that successfully blend our approaches to learning, working and research. Please check your unit sites for announcements and updates.
Last updated: 4 March 2022
SIT102 and SIT111
SIT123
SIT107
Students will on average spend 150 hours over the trimester undertaking the teaching, learning and assessment activities for this unit.
1 x 1 hour online class per week, 1 x 2 hour workshop per week.
Online independent and collaborative learning including optional scheduled activities as detailed in the unit site.
To complete the learning activities within this unit each student will require access to a specified set of computing devices and sensors. Details of these devices and how they can be ordered from local suppliers will be available through the unit site. The expected cost of this equipment is approximately $50. This equipment may be useful in other units within the Computer Science and Software Engineering courses. If students are experiencing economic hardship or difficulty in acquiring these devices they should contact the Unit Chair immediately.
This is a project-oriented and design-based learning unit in which students investigate the fundamentals of software engineering of robotics systems and their application to problems dependent on sensing the environment and the entities within it. The themes within this unit encompass: engineering principles, agile software project management, robotics, use of ubiquitous sensor technologies, data capture protocols, data analysis and visualisation processes and how these underpin decision making, both by machines and humans. Students will complete a team-based project applying principles covered within this unit.
Design and develop robotics system using appropriate software frameworks and tools and test using simulation and real environments.
GLO1: Discipline-specific knowledge and capabilitiesGLO5: Problem solving
ULO2
Apply agile software engineering principles methods, tools and techniques individually and as part of a team to plan, manage, and contribute to projects.
GLO1: Discipline-specific knowledge and capabilitiesGLO3: Digital literacyGLO7: Teamwork
ULO3
Take ownership and responsibility for assigned aspects of a software project, and provide relevant evidence of achievements and outcomes against given criteria.
GLO6: Self-managementGLO7: Teamwork
ULO4
Communicate technical concepts to specialist and non-specialist audiences through a project pitch.
GLO2: Communication
The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.
To be eligible to obtain a pass in this unit, students must meet certain milestones as part of the portfolio.
There is no prescribed text. Unit materials are provided via the unit site. This includes unit topic readings and references to further information.
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