Overview

"Smart" systems are critical to the future of engineering. This unit will introduce the fundamentals required for these systems from the perspective of software, electrical, electronic and mechatronics engineering. Theory underpinning systems approach, analogue and digital circuit design and Python programming will be presented. The fundamental stages in the software … For more content click the Read More button below. Concepts such as Boolean Logic, Ohm’s and Kirchhoff’s Laws, Nodal Analysis and Thevenin Equivalence will also be introduced. These will be used to analyse and design solutions that contain electrical components including capacitors, semiconductor devices such as diodes, transistors and basic microcontrollers. The contribution of each topic to a contemporary engineering application will be demonstrated. These concepts will be practised through hands-on projects carried out in teams. Communication and teamwork skills will be developed through team-based tasks.

Offerings

OCT-MY-01-MALAYSIA-ON-CAMPUS
S1-01-CLAYTON-FLEXIBLE
S1-01-MALAYSIA-ON-CAMPUS
S2-01-CLAYTON-FLEXIBLE
S2-01-MALAYSIA-ON-CAMPUS

Rules

Enrolment Rule

Contacts

Chief Examiner(s)

Dr Tian Goh
Associate Professor Jonathan Li
Dr Yin Jou Khong

Unit Coordinator(s)

Dr Tian Goh
Associate Professor Jonathan Li
Dr Howgen Kesuma
Dr Yin Jou Khong
Dr Khong Wei Leong

Notes

Optional Peer Assisted Study Sessions (PASS) run in this unit.

Learning outcomes

On successful completion of this unit, you should be able to:
1.

Discuss requirements of a smart system from component to integrated perspective.

2.

Define programs using Python, discern problem-solving strategies in decomposing problems using algorithms and describe software engineering processes.

3.

Select fundamental circuit analysis techniques to solve problems in circuits that contain common electrical and electronic components.

4.

Propose a design solution in response to a given scenario through requirements and functional analysis, evaluate that solution from an integrated system perspective.

5.

Identify appropriate engineering tools and techniques to develop and validate a solution.

6.

Identify the ethical considerations of data collection and analysis in engineering designs that may impact the suitability of solutions.

7.

Describe project progress and outputs to stakeholders in review meetings, demonstrations and documentation.

8.

Identify roles and responsibilities within a team and reflect on self and team behaviours that contribute to the successful conduct of a project.

Teaching approach

Active learning

Assessment summary

Continuous assessment: 60%
Final assessment: 40%

Assessment in this unit includes competency hurdle assessment tasks. The consequence of not achieving a competency hurdle is a fail grade (NH) and a maximum mark of 45 for the unit.

Assessment

1 - Learning competencies
2 - Workshop-related activities
3 - Content test
4 - Project
5 - Final assessment

Scheduled and non-scheduled teaching activities

Assessments
Practical activities
Workshops

Workload requirements

Workload

Learning resources

Required resources

Other unit costs

The following item is mandatory for practical aspects of the unit and should be purchased at your own cost as you will be reusing them throughout your course.

  • Calculator

Protective clothing and equipment:

  • Laboratory-appropriate enclosed footwear (non-porous material, equipped with non-absorbent, slip-resistant soles)

Costs are indicative only.

Availability in areas of study

E3001 Bachelor of Engineering (Honours)