Unit search

Search results

SIT122 - Robotics Studio

Year:

2022 unit information

Important Update:

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

Enrolment modes:Trimester 1: Burwood (Melbourne), Online
Credit point(s):1
EFTSL value:0.125
Unit Chair:Trimester 1: Muneera Bano
Prerequisite:

Nil

Corequisite:

Nil

Incompatible with:

Nil

Typical study commitment:

Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.

Scheduled learning activities - campus:

1 x 1 hour online class per week, and 1 x 2 hour workshop per week.

Scheduled learning activities - cloud:

Online independent and collaborative learning including optional scheduled activities as detailed in the unit site.

Note:

Student Equipment Purchases

Learning experiences and assessment activities in this unit may require that students have access to specific computing equipment such as mBot ranger robot (to the approximate value of $250). This equipment will also be usable in subsequent units of the course. If purchases were required, students will be informed in the first few weeks of the lectures.

Content

This unit introduces the fundamental computational paradigms of robotic systems (sense-reason-act) in the context of a hands-on, studio based learning environment using the mBot ranger robots. Students will learn and practice event-driven programming methods within mBlock5, the visual programming environment for the mBot ranger robot. Problems such as animating movement, responding to stimuli, and creating meaningful behaviours in constrained environmental contexts will form the basis of practical investigations of the robots' capabilities and limitations, as well as the design and development of programmatic solutions.

ULO These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: Deakin Graduate Learning Outcomes
ULO1 Design and develop robotics applications using existing software frameworks. GLO1: Discipline-specific knowledge and capabilities

ULO2

Apply test and validation procedures in simulation and real environments to develop robust application solutions. GLO5: Problem solving 

ULO3

Analyse capabilities of existing robotic systems and investigate open problems in robotics technologies. GLO4: Critical thinking

These Unit Learning Outcomes are applicable for all teaching periods throughout the year

Assessment

Assessment Description Student output Grading and weighting
(% total mark for unit)
Indicative due week
Problem solving tasks Software artefacts and Laboratory reports. 30% (3 x 10%) Weeks 3, 6 and 8
Research report Written report, 2,500-word maximum 30% Week 9
Project and demonstration Software application and presentation 40% Week 11

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.

Learning Resource

The texts and reading list for the unit can be found on the University Library via the link below: SIT122 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.

 

Unit Fee Information

Click on the fee link below which describes you: