Course overview
- Description
Digitalisation and Industry 4.0 will profoundly change the skills mix required as part of the workforce of the future. The Associate Degree in Applied Technologies contextualizes the role of digital technologies for modern engineering, and is designed to develop the skills and knowledge required to deliver Industry 4.0. The course content has been developed through University and industry partnerships and is designed to equip learners with both technical and professional skills. The course will develop skills in computer programming and automation tasks, alongside the natural language and communication skills require to engage with modern systems. The course will include innovation and entrepreneurship opportunities through a work-integrated learning (WIL) capstone, wherein students apply their specialised knowledge to nominated or selected real-world problems.
- Award abbreviation
- ADAT
- Course type
- Undergraduate associative course
- Status
- Current / 2024
- Intake periods
- Beginning of year and mid-year
- Administered by
- Physics, Mathematics and Computing
Course details
- Structure
- 96 points comprising 16 six-point units. Students take four units in the semester.
- Available to international students
- No
- Attendance type
- Full- or part-time
- Delivery mode
- Internal
- Locations offered
- UWA (Perth)
- Domestic fee type
- Commonwealth supported and/or HECS-HELP
- Fees
- Visit the fees calculator.
No study plans found for this course. See study plans for more information.
Course structure
Key to availability of units:
- S1
- Semester 1
- S2
- Semester 2
All units have a value of six points unless otherwise stated.
For full-time students commencing in Semester 1, it is recommended (but not required) to complete PACM1101 before enrolling in PHIL1001.
Year 1
Take all units (36 points):
| Availability | Unit code | Unitname | Unit requirements | Contact hours |
|---|---|---|---|---|
| S1, S2 | CITS1003 | Introduction to Cybersecurity |
| Lectures: 2-hours per week; Workshop/Practicals: 2-hours per week |
| S2 | CITS1501 | Introduction to Programming with Python | None | Lectures: 2 hours per week for 12 weeks; Labs: 2 hours per week for 10 weeks from week 1. |
| S1, S2 | MATH1720 | Mathematics Fundamentals |
| 3 x 1 hr lectures and 1 x 1hr workshop |
| S1, S2 | PACM1101 | Communication in Practice |
| 3 hours per week |
| S1 | PHIL1001 | Ethics for the Digital Age: An Introduction to Moral Philosophy |
| 3 hours per week |
| S1, S2 | STAT1400 | Statistics for Science | Lectures: 3-hours per week; Laboratories: 2-hours per week |
Students should take option units to the value of 30 points in total from Group A and B: students must take at least 6 points from Group B.
Group A
| Availability | Unit code | Unitname | Unit requirements | Contact hours |
|---|---|---|---|---|
| S1, S2 | CITS1401 | Computational Thinking with Python | Lectures: 2-hours per week; Labs: 2-hours per week; WorkshopS: 1-hour per week | |
| S1, S2 | CITS1402 | Relational Database Management Systems |
| lectures: 2 hours per week; labs: 2 hours per week |
| S1, S2 | GENG1010 | Introduction to Engineering |
| workshop sessions: 2 hours per week; practical sessions: 3 hours per week |
| S1, S2 | MATH1721 | Mathematics Foundations: Methods | Lectures: 3-hours per week; Workshops: 2-hour per week |
Students should take option units to the value of 30 points in total from Group A and B: students must take at least 6 points from Group B.
Group B
| Availability | Unit code | Unitname | Unit requirements | Contact hours |
|---|---|---|---|---|
| S2 | PHIL2008 | Machine Minds and Superintelligence: The Philosophy of Artificial Intelligence |
| 3 hours per week |
| S1 | STAT2401 | Analysis of Experiments | lectures: 2 hours per week; labs: 2 hours per week | |
| S2 | STAT2402 | Analysis of Observations | Lectures: 3-hours per week; Practical Classes: 2-hours per week; Laboratories: 1-hour per week |
Year 2
Take all units (6 points):
| Availability | Unit code | Unitname | Unit requirements | Contact hours |
|---|---|---|---|---|
| S1 | GENG2007 | ERDi Testlab for Industry |
| Lectures/seminars: 3 hrs per week (first 3 weeks and last 3 weeks) Workshops/practical sessions: 3 hrs per week (middle 6 weeks) |
Rules
Title
1. These rules are the Associate Degree in Applied Technologies (Computer Science) Course Rules.
Terms Used
2. The Glossary provides an explanation of the terms used in these rules.
Applicability of the Student Rules, policies and procedures
3.(1) The Student Rules apply to students in this course.
(2) The policy, policy statements and guidance documents and student procedures apply, except as otherwise indicated in the rules for this course.
Academic Conduct Essentials, Communication and Research Skills And Indigenous Studies Essentials module
4.(1) Except as stated in (2), a student who enrols in an undergraduate degree course of the University for the first time irrespective of whether they have previously been enrolled in another course of the University, must undertake the Academic Conduct Essentials module (the ACE module), Communication and Research Skills (the CARS module) and Indigenous Studies Essentials (the ISE module) in the teaching period in which they are first enrolled.
(2) A student must successfully complete the ACE module within the first teaching period of their enrolment. Failure to complete the module within this timeframe will result in the student's unit results from this teaching period being withheld. These results will continue to be withheld until students avail themselves of a subsequent opportunity to achieve a passing grade in the ACE module. In the event that students complete units in subsequent teaching periods without completing the ACE module, these results will similarly be withheld. Students will not be permitted to submit late review or appeal applications regarding results which have been withheld for this reason and which they were unable to access in the normally permitted review period.
(3) A student who has previously achieved a result of Ungraded Pass (UP) for the CARS module or the ISE module is not required to repeat the relevant module.
English Language competency requirements
5. To be considered eligible for consideration for admission to this course an applicant must satisfy the University's English language competence requirement as set out in the University Policy on Admission: Coursework.
Admission requirements
6.(1) To be considered for admission to this course an applicant must have—
(a) completion of a TAFE Diploma in a relevant field as defined by UWA;
or
(b) at least 5 years of relevant work experience undertaken in an English-language environment (including inventory management, customer management, data analyst, manufacturing or mechatronic technician, service technician, system architect or technician, or a similar field across the manufacturing or service sectors);
(2) a structured interview in which eligible applicants will be assessed to meet requisite skills and knowledge for entry into the course.
Admission ranking and selection
7. Where relevant, admission will be awarded to the highest ranked applicants or applicants selected based on the relevant requirements.
Course structure
8.(1) An Associate Degree course consists of 48 credit points (normally 8 units).
Satisfactory progress
Progress status
Deferrals
12. Applicants awarded admission to the course are entitled to a deferral of up to 12 months, as per the University Policy on: Admissions (Coursework).
Additional rules
Recognition of Prior Learning
11. Students who have completed a Diploma of Applied Technologies or Diploma of Engineering (Technical) from South Metropolitan TAFE are eligible to receive RPL for MATH1720 Mathematics Fundamentals, upon review and confirmation by the Program Chair.