Unit Guide

General Information

Unit convenor and teaching staff	Unit convenor and teaching staff Unit Convenor and Lecturer David Inglis david.inglis@mq.edu.au 9WW-321 Tuesdays 4-5pm, Thursdays 8-9am (no appointment needed)
Credit points	Credit points 10
Prerequisites	Prerequisites (MTRN3026 or ELEC326) and (ELEC3024 or ELEC324)
Corequisites	Corequisites
Co-badged status	Co-badged status
Unit description	Unit description This unit integrates prior learning in a specialist area of engineering with problem solving, emerging technology and aspects of engineering application, technical reporting and self-management to prepare students to work at a professional capacity. The unit aims to address the application of fundamental principles and methods at an advanced level in the context of standards and practices, modelling, analysis, design and practical implementation. The unit also develops skills in the critical evaluation of information, software and sources of error, and experimental methods. Learning will be achieved using case studies, laboratories, presentations, group work and/or traditional lecture format. The specific topics will focus on current advances in the area such as microcontrollers, MEMs, nanotechnologies, control systems, sensors and actuators and electro-mechanical interfacing.

Important Academic Dates

Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates

Learning Outcomes

On successful completion of this unit, you will be able to:

ULO1: Design, numerically-model, implement, and test a digital motion control system for a non-linear problem
ULO2: Demonstrate, problem solving, initiative, time management, and record keeping, skills in the completion of a significant project
ULO3: Research and evaluate, through advanced knowledge, MEMS, microfluidics, and manufacturing processes including 3D printing and microfabrication
ULO4: Apply deep learning to proficiently articulate and critique advanced mechatronic principles, including convolutional neural networks

General Assessment Information

Practicals and on-campus learning activities start in week 1. If you cannot attend on campus from week 1, contact the unit convenor before the start of week 1.

Grading and passing requirement for unit

In order to pass this unit a student must obtain a mark of 50 or more for the unit (i.e. obtain a passing grade P/ CR/ D/ HD), and meet two hurdle requirments (below).

If you receive special consideration for the final exam (or are given a second attempt), a supplementary exam will be scheduled by the faculty during a supplementary exam period. This is typically 3 to 4 weeks after the normal exam period. By making a special consideration application for the final exam you are declaring yourself available for a resit during the supplementary examination period and will not be eligible for a second special consideration approval based on pre-existing commitments. Please ensure you are familiar with the policy prior to submitting an application. Approved applicants will receive an individual notification one week prior to the exam with the exact date and time of their supplementary examination.

Hurdle Requirements

The final examination is a hurdle requirement. A grade of 50% or more in the final exam is a condition of passing this unit. If you are given a second opportunity to sit the final examination as a result of failing to meet the minimum mark required, you will be offered that chance during the supplementary examination period and will be notified of the exact day and time after the publication of final results for the unit. The second attempt at a hurdle assessment is graded as pass fail. The maximum grade for a second attempt is the hurdle threshold grade.

Completion of homework problems is a hurdle requirement. Students must submit reasonable responses to all questions. If submissions do not meet the hurdle requirement, students will be notified and given 1 week to re-submit.

Late submissions and Resubmissions

Online quizzes, in-class activities, or scheduled tests and exam must be undertaken at the time indicated in the unit guide. Should these activities be missed due to illness or misadventure, students may apply for Special Consideration.

All other assessments must be submitted by 5:00 pm on their due date.

Should these assessments be missed due to illness or misadventure, students should apply for Special Consideration.

Assessments not submitted by the due date will receive a mark in accordance with the late submission policy as follows:

A 12-hour grace period will be given after which the following deductions will be applied to the awarded assessment mark: 12 to 24 hours late = 10% deduction; for each day thereafter, an additional 10% per day or part thereof will be applied until five days beyond the due date. After this time, a mark of zero (0) will be given. For example, an assessment worth 20% is due 5 pm on 1 January. Student A submits the assessment at 1 pm, 3 January. The assessment received a mark of 15/20. A 20% deduction is then applied to the mark of 15, resulting in the loss of three (3) marks. Student A is then awarded a final mark of 12/20.

Resubmissions of work are not allowed.

Assessment Tasks

Name	Weighting	Hurdle	Due
Log Book	11%	No	Week 12
Report 1	10%	No	Week 3
Report 2	11%	No	Week 6
Report 3	11%	No	Week 9
Project Demonstration	11%	No	Week 12
Report - Final	11%	No	Week 12
Homework/problem sets	0%	Yes	Weeks 4, 7, 10, 13
Final Exam	35%	Yes	Examination Period