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蒙纳什大学马来西亚校区 / 课程

FIT3163

Data science project 1

6 credit pointsLevel 3First semester / Second semesterMalaysiaFaculty of Information Technology

基本信息

学分6 credit points
开课学期First semester / Second semester
校区Malaysia
考核构成
Group Final Proposal Presentation30%
Project Proposal Report10%
Individual Vlog Reflections10%
Individual Critique of Other Final Presentations5%
Individual Critique of Other Group Pitches5%
Group Project Meeting Minutes & Videos15%
Group Mid-Semester Project Pitch25%

开课安排2

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

This unit provides practical experience in researching, designing, developing and evaluating 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 sting. 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 first part of a 12-credit point project sequence; the second part and exit point for the project is FIT3164.

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

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

  1. ULO1 Recognise and execute the factors essential for successful management of systems development projects, including teamwork and interpersonal communication;
  2. ULO2 Evaluate and select research methods and techniques of data preparation and analysis appropriate to a particular project, and practice these ethically and professionally;
  3. ULO3 Search, access and analyse research literature as part of the process of developing solutions to problems;
  4. ULO4 Operate effectively as a member of a development team;
  5. ULO5 Communicate in written and oral form the proposed deliverables of a project and reflect upon their value and the likelihood of success;
  6. ULO6 Develop, demonstrate and explain results of analysis, a software prototype or model.

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:FIT1043 AND FIT2004 AND (FIT1049 OR FIT1055) AND (FIT2086 AND (FIT2094 OR FIT3171))

FIT1043Introduction to data science
FIT2004Algorithms and data structures
FIT1049该先修课未在本站 Monash 数据内
FIT1055IT professional practice and ethics
FIT2086Modelling for data analysis
FIT2094Databases
FIT3171Databases

修完这门课可以衔接

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
FIT1043Introduction to data science6 cp
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
FIT1049本站暂无这门课的数据
FIT1055IT professional practice and ethics6 cp
以下全部都要
FIT2086Modelling for data analysis6 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
MAT1841本站暂无这门课的数据
MTH1030本站暂无这门课的数据
MTH1035本站暂无这门课的数据
ENG1005Engineering mathematics6 cp
FIT1058Foundations of computing6 cp
满足其中一项
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
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

互斥课程2

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"。

FIT3144该互斥课未在本站 Monash 数据内
FIT3161Computer science project 1

原始记号:FIT3144 AND FIT3161

属于这些学位1

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

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