FIT3164
Data science project 2
基本信息
| 学分 | 6 credit points |
|---|---|
| 开课学期 | First semester / Second semester / Summer semester A |
| 校区 | Malaysia |
| 考核构成 | Final Written Report — 10% Individual Vlog Reflections — 10% Software Demonstration and Final Presentation — 30% Individual Critique of Other Final Presentations — 5% Individual Critique of Other Group Pitches — 5% Group Project Meeting Minutes & Videos — 15% Group Mid-Semester Project Pitch — 25% |
开课安排3 条
| 教学期 | 授课方式 | 状态 |
|---|---|---|
| First semester | Teaching activities are on-campus (ON-CAMPUS) | 开课 |
| Second semester | Teaching activities are on-campus (ON-CAMPUS) | 开课 |
| Summer semester A | 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
This unit provides practical experience in researching, designing, developing and testing a non-trivial data science project. Projects involve whole or part of the data science process (visualisation, analysis, algorithms, etc.) but can also be software-based, or they may involve investigation of theory. Projects if software-based should cover analysis through design to implementation and testing. Comprehensive written documentation on the project is required. Students are assigned in groups to a project supervisor. There are no lectures in this unit, although you will be expected to attend regular meetings with your project supervisor. The unit is the second part of a 12-credit point project sequence; the first part and entry point for the project is FIT3163.
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6 条
官方原文（Learning outcomes），版权属 Monash University。
- ULO1 Evaluate and select research methods and techniques of data preparation and analysis appropriate to a particular project;
- ULO2 Search, access, and analyse research literature as part of the process of developing solutions to problems;
- ULO3 Work effectively in collaborative teams;
- ULO4 Develop and test a substantial piece of software or perform a substantial analysis of data using software;
- ULO5 Explain and reflect upon the purpose, operation, success and value of the developed project in writing and orally;
- ULO6 Write a report explaining methodology, outlining their contributions and the contributions of others, and documenting the developed project from appropriate perspectives, for instance that of a user, researcher or developer.
教学方式与预期工作量
教学方式
Problem-based 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：FIT3163
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。
互斥课程1 门
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"。
原始记号：FIT3144
属于这些学位1 个
这门课出现在下列学位的官方结构里。反过来说：如果你读的是这些学位之一，它大概率是要修的 （必修还是选修取决于它在 Part 里的位置，点进去看结构）。
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。