PersonalUni
非官方 · 本页整理 Monash University Malaysia 的公开信息仅供参考。PersonalUni 与 Monash University Malaysia 无隶属关系,重要信息请以该校官方信息为准。
This page lists publicly available information about Monash University Malaysia for reference only. PersonalUni is unofficial and not affiliated with Monash University Malaysia.

蒙纳什大学马来西亚校区 / 课程

FIT3179

Data visualisation

6 credit pointsLevel 3Second semesterMalaysiaFaculty of Information Technology

基本信息

学分6 credit points
开课学期Second semester
校区Malaysia
考核构成
Studio Tasks15%
Class Tests35%
Data Visualisation II25%
Data Visualisation I25%

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

Data visualisation is a powerful technique that allows us to use our visual system to understand data. Interactive data visualisation is now common in business, engineering and design and the social and physical sciences. This unit introduces the main kinds of information graphics and interactive visualisation systems and their areas of application. It investigates the reasons why visualisation can be effective and based on this you will gain experience in critically assessing data visualisations and in designing your own visualisations. You will learn how to create visualisations with representative computer tools and gain experience in creating a data visualisation for an application domain of their choice.

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4

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

  1. ULO1 Critically analyse data visualisations;
  2. ULO2 Create effective data visualisations;
  3. ULO3 Describe the main applications of data visualisation in business, engineering and design, and the social and physical sciences;
  4. ULO4 Describe the advantages, drawbacks and pitfalls of the visual presentation of data as compared to its presentation using other media.

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:(FIT1045 OR FIT1053 OR FIT1008 OR FIT1054 OR FIT2085 OR ENG1013 OR ENG1014 OR FIT1048 OR FIT1051)

FIT1045Introduction to programming
FIT1053该先修课未在本站 Monash 数据内
FIT1008Fundamentals of algorithms
FIT1054该先修课未在本站 Monash 数据内
FIT2085Fundamentals of algorithms for engineers
ENG1013Engineering smart systems
ENG1014Engineering numerical analysis
FIT1048该先修课未在本站 Monash 数据内
FIT1051Programming fundamentals in java

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
FIT1045Introduction to programming6 cp
FIT1053本站暂无这门课的数据
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
ENG1013Engineering smart systems6 cp
ENG1014Engineering numerical analysis6 cp
FIT1048本站暂无这门课的数据
FIT1051Programming fundamentals in java6 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"。

FIT2179Data visualisation

原始记号:FIT2179

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

同级其他课程Level 3