UnitLevel 4Undergraduate

ECE4078 Intelligent robotics

Faculty of Engineering

ECE4078 Intelligent robotics is a level 4, 6-credit-point, undergraduate unit from the Faculty of Engineering, offered in 2024 in Semester 2 at Clayton and Malaysia. It needs ECE2071.

Credit points
6
Offered in 2024
Semester 2
Clayton, Malaysia
Assessment
No exam
3 tasks
Workload
144 hours
per semester

This is the 2024 handbook entry. See the 2027 entry.

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Requisites

Before ECE4078

Prerequisites

Pass these before you enrol.

Prohibitions

You can't enrol if you have passed any of these.

After ECE4078

No unit lists ECE4078 as a prerequisite in the 2024 handbook.

Enrolment rules

If you are currently enrolled in E6013 Master of Applied Engineering, you are exempt from the prerequisite requirement.

Equivalent units

The same content under another code. Only one of them counts.

Overview

Intelligent robotics concerns the melding of artificial perception, strategic reasoning and robotic action in potentially unstructured and time-varying environments to fulfil useful physical tasks, whether in industry or for security, healthcare, search and rescue or civil defence etc. This unit covers topics underpinning the above requirements, including sensors, sensor fusion, machine perception, environmental mapping/monitoring, path planning, localisation, mechanisms, artificial intelligence methodologies and application domains.

Offerings in 2024

Teaching periodCampusMode
Second semesterClaytonOn campus
Second semesterMalaysiaOn campus

Assessment

  • Programming exercises
    20%
  • Laboratory project milestones
    20%
  • Final lab demonstration/competition
    60%

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    Describe the physical structure, sensing/actuation and programming required to develop an intelligent robot.

  2. 2

    Design algorithms for robot systems.

  3. 3

    Integrate robotic systems and algorithms into a functioning robot system to perform specific tasks.

Workload and teaching

  • Workshops24 hours
  • Laboratories36 hours
  • Teaching approachOnline learning
  • Teaching approachActive learning
  • Teaching approachResearch activities
  • Teaching approachCase-based teaching
  • Teaching approachProblem-based learning
  • Teaching approachPeer assisted learning

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.

Lectures will be delivered online

You will work in a group of 3-4 to implement an intelligent robot system.

Learning resources

Required resources

  • Lecture handouts
  • Code repositories

Where it fits

ECE4078 is part of 5 areas of study in the 2024 handbook.

Contacts

Unit Coordinators
Dr Juxi Leitner
Professor Tan Chee Pin
Chief Examiners
Dr Juxi Leitner

Common questions

What are the prerequisites for ECE4078?

You need ECE2071 before you enrol. Enrolment rules also apply.

When is ECE4078 offered?

In 2024, ECE4078 runs in Semester 2 at Clayton and Malaysia.

How much work is ECE4078?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Does ECE4078 have an exam?

No. ECE4078 has 3 assessment tasks and no exam.

More details

Credit points
6
Level
4
Study level
Undergraduate
Faculty
Faculty of Engineering
Organisational unit
Department of Electrical and Computer Systems Engineering
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 2
Study abroad
Available