FIT3182
Big data management and processing
基本信息
| 学分 | 6 credit points |
|---|---|
| 开课学期 | First semester |
| 校区 | Malaysia |
| 考核构成 | Assignment-3 — 10% In class tests — 40% Assignment-2 — 20% Assignment-1B — 5% Assignment-1 — 15% Assignment-2B — 10% |
开课安排1 条
| 教学期 | 授课方式 | 状态 |
|---|---|---|
| First semester | Teaching 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 条
官方原文(Learning outcomes),版权属 Monash University。
- ULO1 identify big data concepts and technologies;
- ULO2 design and develop parallel database processing algorithms and methods;
- ULO3 explain a variety of data formats in big data;
- ULO4 apply modern big data processing tools for various data structures;
- 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)
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。
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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