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蒙纳什大学马来西亚校区 / 课程

ECE4078

Intelligent robotics

6 credit pointsLevel 4Second semesterMalaysiaDepartment of Electrical and Computer Systems Engineering

基本信息

学分6 credit points
开课学期Second semester
校区Malaysia
考核构成
Programming exercises20%
Final lab demonstration/competition40%
Laboratory project milestones40%

开课安排1

教学期授课方式状态
Second semesterTeaching activities are on-campus (ON-CAMPUS)开课

以上为该校区在官方资料中登记的全部开课安排,不是汇总。同一门课可能在多个 教学期开课,也可能不同教学期的授课方式不同。

课程简介

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.

以上为 Monash Handbook 的官方原文,版权属 Monash University,此处按本站要求转载并标注出处: 官方页面 ↗

学习成果3

官方原文(Learning outcomes),版权属 Monash University。

  1. ULO1 Describe the physical structure, sensing/actuation and programming required to develop an intelligent robot.
  2. ULO2 Design algorithms for robot systems.
  3. ULO3 Integrate robotic systems and algorithms into a functioning robot system to perform specific tasks.

教学方式与预期工作量

教学方式

Problem-based learning

Research activities

Peer assisted learning

Online learning - Lectures will be delivered online

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

Case-based teaching

预期工作量

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.

官方原文,版权属 Monash University。

先修 / 同修要求

以下先修关系按官方来源的结构化先修字段解析,原始记号:ECE2071 OR ECE2191

ECE2071Systems programming
ECE2191Probability and AI for engineers

先修链路

按官方先修字段的原始分组展开,AND / OR 的区别保留着—— 「A 或 B」和「A 与 B」在选课时是两回事。每门课点进去可以继续往下看。

满足其中一项
ECE2071Systems programming6 cp
以下全部都要
满足其中一项
ENG1003本站暂无这门课的数据
ENG1013Engineering smart systems6 cp
满足其中一项
ENG1014Engineering numerical analysis6 cp
ENG1060本站暂无这门课的数据
ECE2191Probability and AI for engineers6 cp
以下全部都要
满足其中一项
ENG1005Engineering mathematics6 cp
MTH1030本站暂无这门课的数据
满足其中一项
ENG1013Engineering smart systems6 cp
ENG1003本站暂无这门课的数据
FIT1045Introduction to programming6 cp

互斥课程1

这些课和本课内容重叠,不能同时算进同一个学位(官方目录的 Prohibition 字段)。选了其中一门,另一门通常只能算选修学分甚至完全不计—— 这跟先修不同,先修是"没修过就不能选",互斥是"修了也不能两门都算"。

ECE5178该互斥课未在本站 Monash 数据内

原始记号:ECE5178

数据来源

数据来源
官方网页
handbook.monash.edu
抓取时间
2026-09-13
可信度
程序抓取,未人工核实

查看官方完整描述 ↗ — 事实性字段(代码、学分、教学期、授课方式、考核权重、先修/同修/互斥关系)与 课程简介、学习成果、教学方式、预期工作量均取自官方 Handbook; 正文版权属 Monash University,此处转载并逐处标注出处。

发现信息有误?告诉我们。请用自己的话描述问题,不要上传成绩单、截图或校内系统文件

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