ENG1013 · Engineering smart systems

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 and hardware development life cycle will be introduced, including requirements analysis, functional analysis, design integration and verification. 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.

Areas of study: E3001 Bachelor of Engineering (Honours)

Offerings

Assessment

The Handbook lists an examination for this unit.

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 details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

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. Applies appropriate engineering tools and techniques in developing or evaluating a solution.
5. Describe project progress and outputs to stakeholders in review meetings, demonstrations and documentation.
6. Identify roles and responsibilities within a team and reflect on self and team behaviours that contribute to the successful conduct of a project.

Workload

The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.

Student experience, not official rules. Nothing here changes what the Handbook says.