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蒙纳什大学马来西亚校区 / 课程

ETX2200

Digital business intelligence

6 credit pointsLevel 2First semesterMalaysiaDepartment of Econometrics and Business Statistics

基本信息

学分6 credit points
开课学期First semester
校区Malaysia
考核构成
1 - Project100%

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

This unit explores the dynamic realm of harnessing data to drive informed decision-making in contemporary business environments. This unit delves into the core principles of Business Intelligence (BI) within the digital landscape. You will gain a comprehensive understanding of data collection, integration, and analysis using a range of tools and techniques.

The curriculum navigates through key facets: from establishing data warehouses and performing predictive analytics to crafting visually compelling dashboards using BI software. Emphasis is placed on practical applications, enabling you to adeptly utilise BI tools for extracting meaningful insights from complex datasets.

Moreover, ethical considerations in BI implementation and the evaluation of real-time BI systems form essential components of this course, encouraging critical thinking regarding responsible data usage.

By course conclusion, you will be equipped with the foundational knowledge and practical skills required to navigate the evolving field of Digital Business Intelligence, ready to contribute value to data-driven decision-making in organisational settings

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 explain the fundamental concepts and principles of Business Intelligence (BI) in the digital landscape
  2. ULO2 apply data mining, predictive analytics techniques and machine learning algorithms to derive actionable business insights
  3. ULO3 analyse different data visualisation methods for effective communication of business insights
  4. ULO4 create relevant and impactful real-time BI systems on business decision-making.

教学方式与预期工作量

教学方式

Research activities - This unit allows you to develop your research skills by engaging in structured inquiry using a systematic approach and discipline-specific methodologies.

Simulation or virtual practice - This unit allows you to engage in guided, immersive experiences to develop relevant skills, knowledge and attitudes through simulation or virtual practice.

Active learning - This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.

Case-based teaching - This unit includes case-based teaching, where you apply your knowledge and engage in analytical and reflective thinking to solve complex contextual scenarios. Activities are often designed so that there is not one clear answer, but you need to work together to examine, analyse and make decisions to resolve the situation.

Industry-based learning - This unit provides you with the opportunity to engage in industry-based learning to incorporate professional and industry experience into your studies.

Problem-based learning - This unit includes problem-based learning approaches, where you engage in research, integrate theory and practice and apply knowledge and skills to develop viable solutions in response to a problem or set of problems.

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 learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement 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:ETF1100 OR ETW1001

ETF1100该先修课未在本站 Monash 数据内
ETW1001Introduction to statistical analysis

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
ETF1100本站暂无这门课的数据
ETW1001Introduction to statistical analysis6 cp

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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