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蒙纳什大学马来西亚校区 / 课程

ETW1001

Introduction to statistical analysis

6 credit pointsLevel 1First semester / October intake teaching period, Malaysia campus / Second semesterMalaysiaDepartment of Econometrics and Business Statistics

基本信息

学分6 credit points
开课学期First semester / October intake teaching period, Malaysia campus / Second semester
校区Malaysia
考核构成
1 - Exercise15%
3 - Written30%
2 - Quiz / Test15%
4 - Examination40%

开课安排3

教学期授课方式状态
October intake teaching period, Malaysia campusTeaching activities are on-campus (ON-CAMPUS)开课
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 introduces you to the key aspects of statistical analysis: descriptive analytics, diagnostic analytics, predictive analytics and prescriptive analytics. In particular, this unit covers descriptive statistics for revealing the information contained in data; probability as a tool for dealing with uncertainty; probability distributions to model business behaviour; confidence interval estimation and hypothesis testing techniques; analysis of relationships between variables using linear regression; and simple tools for forecasting time series data. Excel software will be used. You will also be able to effectively communicate the results of your analyses.

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 summarise and interpret global business and economic data using appropriate descriptive techniques
  2. ULO2 apply statistical inferential concepts of probability and sampling distributions to solve problems in business and economics
  3. ULO3 assess the relevance and usefulness of predictive modelling to address business and economic challenges
  4. ULO4 communicate statistical results to stakeholders effectively to propose business and economic solutions as a team.

教学方式与预期工作量

教学方式

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.

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.

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

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

官方资料未列出该课程的先修要求。

修完这门课可以衔接

先修链路

官方资料未列出该课程的先修要求,因此没有链路可画。

互斥课程9

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"。

FIT1006该互斥课未在本站 Monash 数据内
ETW2001Foundations of data analysis
ETM1030Mathematical statistics
ETF1100该互斥课未在本站 Monash 数据内
ETC1000该互斥课未在本站 Monash 数据内
STA1010该互斥课未在本站 Monash 数据内
ETI1100该互斥课未在本站 Monash 数据内
SCI1020Introduction to statistical reasoning
ETB1100该互斥课未在本站 Monash 数据内

原始记号:FIT1006 OR ETW2001 OR ETM1030 OR ETF1100 OR ETC1000 OR STA1010 OR ETI1100 OR SCI1020 OR ETB1100

属于这些学位5

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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