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蒙纳什大学马来西亚校区 / 课程

FIT3182

Big data management and processing

6 credit pointsLevel 3First semesterMalaysiaFaculty of Information Technology

基本信息

学分6 credit points
开课学期First semester
校区Malaysia
考核构成
Assignment-310%
In class tests40%
Assignment-220%
Assignment-1B5%
Assignment-115%
Assignment-2B10%

开课安排1

教学期授课方式状态
First 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

Data engineering is about developing the software (and hardware) infrastructure to support data science. This unit introduces software tools and techniques for data engineering, but not hardware. It will cover an introduction to big data processing, covering volume, variety, and velocity; large volume data processing using parallel technologies; variety data formats, including unstructured and semi-structured data, using NoSQL databases; and velocity data processing, covering data streaming.

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5

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

  1. ULO1 identify big data concepts and technologies;
  2. ULO2 design and develop parallel database processing algorithms and methods;
  3. ULO3 explain a variety of data formats in big data;
  4. ULO4 apply modern big data processing tools for various data structures;
  5. ULO5 solve complex big data streaming problems.

教学方式与预期工作量

教学方式

Active learning

预期工作量

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching 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:FIT2004 AND (FIT3171 OR FIT2094)

FIT2004Algorithms and data structures
FIT3171Databases
FIT2094Databases

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。

以下全部都要
FIT2004Algorithms and data structures6 cp
以下全部都要
满足其中一项
FIT1008Fundamentals of algorithms6 cp
以下全部都要
满足其中一项
FIT1045Introduction to programming6 cp
FIT1053本站暂无这门课的数据
满足其中一项
FIT1058Foundations of computing6 cp
MAT1830Discrete mathematics for computer science6 cp
FIT1054本站暂无这门课的数据
FIT2085Fundamentals of algorithms for engineers6 cp
以下全部都要
满足其中一项
FIT1058Foundations of computing6 cp
MAT1830Discrete mathematics for computer science6 cp
满足其中一项
FIT1045Introduction to programming6 cp
FIT1053本站暂无这门课的数据
以下全部都要
ENG1013Engineering smart systems6 cp
ENG1014Engineering numerical analysis6 cp
满足其中一项
MAT1830Discrete mathematics for computer science6 cp
FIT1058Foundations of computing6 cp
满足其中一项
FIT3171Databases6 cp
满足其中一项
FIT1045Introduction to programming6 cp
FIT1048本站暂无这门课的数据
FIT1051Programming fundamentals in java6 cp
FIT1053本站暂无这门课的数据
ENG1003本站暂无这门课的数据
ENG1013Engineering smart systems6 cp
FIT2094Databases6 cp
满足其中一项
满足其中一项
FIT1045Introduction to programming6 cp
FIT1048本站暂无这门课的数据
FIT1051Programming fundamentals in java6 cp
FIT1053本站暂无这门课的数据
以下全部都要
ENG1013Engineering smart systems6 cp
ENG1014Engineering numerical analysis6 cp

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。

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