SCI1020
Introduction to statistical reasoning
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 | Final assessment - Exam (2 hours and 10 minutes) — 30% Statistical analysis projects — 30% Problem-solving activities — 10% Quizzes — 10% Mid-semester test — 20% |
开课安排3 条
| 教学期 | 授课方式 | 状态 |
|---|---|---|
| October intake teaching period, Malaysia campus | Teaching activities are on-campus (ON-CAMPUS) | 开课 |
| Second semester | Teaching activities are on-campus (ON-CAMPUS) | 开课 |
| First semester | 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 will introduce to you the principles of data production and the practical application of descriptive and inferential statistical techniques to real-world problems in various scientific fields. You will develop skills during applied classes including collaborative problem solving and using Microsoft Excel for statistical analysis of real world problems. Upon completion, you will be able to make informed statistical decisions and communicate your findings in a clear and scientifically meaningful manner.
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 条
官方原文（Learning outcomes），版权属 Monash University。
- ULO1 Demonstrate a deep conceptual understanding of the principles of data collection, analysis and interpretation using descriptive and inferential statistical techniques;
- ULO2 Utilise Microsoft Excel to present and interpret data through numerical summaries and graphical representations of data;
- ULO3 Apply appropriate descriptive and inferential statistical techniques to real problems in the science disciplines;
- ULO4 Make statistical decisions and communicate findings in a meaningful scientific way.
教学方式与预期工作量
教学方式
Online learning - Online learning will be used to illustrate and explain concepts and to highlight links between theory and practical work.
Active learning - Active learning will occur in lectures and applied classes.
预期工作量
• One 1.5-hours seminar;
• One 2-hour applied class and
• 8.5 hours of independent study per week.
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。
属于这些学位4 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。