已核对的历史官方记录
下列记录按原课程代码和来源年代保留。历史记录及旧资料不表示本学年仍开课,也不表示可以替代其他课程。
2025/26 · 历史官方目录网页记录(详细 PDF 未核读)
2025/26 历史目录原文:Semester B 2025/26 / Semester B 2026/27 (Tentative) · “本学年”沿用该历史目录页面的原文语境,不代表现在的开课情况。 · 校方目录标注 ↗
The offering term is subject to change without prior notice
这门课学什么
- 课程概述与目标
This course aims to introduce essential statistical methods and analytical tools used to analyze data, gain insights, and make informed decisions. In this course, core topics in probability and statistics are reviewed and expanded through on the study and practice of data analytics. Students will learn how to: describe and visualize data; test our understanding against data; and create statistical models based on domain knowledge. This course will let students gain hands-on experience using different statistical techniques and tools. Upon completion of this course, students should be able to think critically about data and apply standard statistical inference procedures and statistical modelling methods to draw conclusions about a real-world problem from such analyses.
校方目录网页 · Course Aims
我能不能修这门课
先修、建议先备和并修要求分别查看;等同及互斥条件也会影响选课。and 表示同时满足,or 表示备选;组合条件按下方原文分组阅读。
- 先修条件
校方目录网页 · Pre-requisite(s)
- 并修要求
已保存的校方目录网页没有列出此项;详细 PDF 中的说明仍待确认。
校方目录网页
- 等同课程及条件
已保存的校方目录网页没有列出此项;详细 PDF 中的说明仍待确认。
校方目录网页
怎么考,怎样才算通过
- 考核方式
Continuous Assessment: 40%
Examination: 60%
Examination Duration: 2 hours
Min. Continuous Assessment Passing Requirement: 30%
Min. Examination Passing Requirement: 30%
Note: To pass the course, apart from obtaining a minimum of 40% in the overall mark, a student must also obtain a minimum mark of 30% in both continuous assessment and examination components.
校方目录网页 · Assessment (Indicative only, please check the detailed course information)
学分、时长与版本信息
- 本版本课程名称
Statistical Methods and Data Analysis
校方目录网页 · Course title
- 本版本学分
3
校方目录网页 · Credit Units
- 修读时长
One Semester
校方目录网页 · Course Duration
核对官方原文件
这份历史官方目录网页列出课程名称、学分、教学单位、课程目标、考核摘要及网页实际列出的课程关系。已保存的网页正文没有详细课纲或学习成果,本轮也未核读 PDF;这里不据此推断当前是否开课。
本页暂未提供该学年的 PDF 预览。
来源 · 校方课程介绍 ↗ · 查阅 2026-10-21
2022/23 · 历史官方目录网页记录(详细 PDF 未核读)
2022/23 历史目录原文:Semester B 2022/23 · “本学年”沿用该历史目录页面的原文语境,不代表现在的开课情况。 · 校方目录标注 ↗
The offering term is subject to change without prior notice
这门课学什么
- 课程概述与目标
This course aims to introduce essential statistical methods and analytical tools used to analyze data, gain insights, and make informed decisions. In this course, core topics in probability and statistics are reviewed and expanded through on the study and practice of data analytics. Students will learn how to: describe and visualize data; test our understanding against data; and create statistical models based on domain knowledge. This course will let students gain hands-on experience using different statistical techniques and tools. Upon completion of this course, students should be able to think critically about data and apply standard statistical inference procedures to draw conclusions from such analyses.
校方目录网页 · Course Aims
我能不能修这门课
先修、建议先备和并修要求分别查看;等同及互斥条件也会影响选课。and 表示同时满足,or 表示备选;组合条件按下方原文分组阅读。
- 先修条件
校方目录网页 · Pre-requisite(s)
- 并修要求
已保存的校方目录网页没有列出此项;详细 PDF 中的说明仍待确认。
校方目录网页
- 等同课程及条件
已保存的校方目录网页没有列出此项;详细 PDF 中的说明仍待确认。
校方目录网页
怎么考,怎样才算通过
- 考核方式
Continuous Assessment: 40%
Examination: 60%
Examination Duration: 2 hours
校方目录网页 · Assessment (Indicative only, please check the detailed course information)
学分、时长与版本信息
- 本版本课程名称
Statistical Methods and Data Analysis
校方目录网页 · Course title
- 本版本学分
3
校方目录网页 · Credit Units
- 修读时长
One Semester
校方目录网页 · Course Duration
核对官方原文件
这份历史官方目录网页列出课程名称、学分、教学单位、课程目标、考核摘要及网页实际列出的课程关系。已保存的网页正文没有详细课纲或学习成果,本轮也未核读 PDF;这里不据此推断当前是否开课。
本页暂未提供该学年的 PDF 预览。
来源 · 校方课程介绍 ↗ · 查阅 2026-10-21
2021/22 · 历史官方目录网页记录(详细 PDF 未核读)
2021/22 历史目录原文:Semester B 2021/22 / Semester B 2022/23 (Tentative) · “本学年”沿用该历史目录页面的原文语境,不代表现在的开课情况。 · 校方目录标注 ↗
The offering term is subject to change without prior notice
这门课学什么
- 课程概述与目标
This course aims to introduce essential statistical methods and analytical tools used to analyze data, gain insights, and make informed decisions. In this course, core topics in probability and statistics are reviewed and expanded through on the study and practice of data analytics. Students will learn how to: describe and visualize data; test our understanding against data; and create statistical models based on domain knowledge. This course will let students gain hands-on experience using different statistical techniques and tools. Upon completion of this course, students should be able to think critically about data and apply standard statistical inference procedures to draw conclusions from such analyses.
校方目录网页 · Course Aims
我能不能修这门课
先修、建议先备和并修要求分别查看;等同及互斥条件也会影响选课。and 表示同时满足,or 表示备选;组合条件按下方原文分组阅读。
- 先修条件
校方目录网页 · Pre-requisite(s)
- 并修要求
已保存的校方目录网页没有列出此项;详细 PDF 中的说明仍待确认。
校方目录网页
- 等同课程及条件
已保存的校方目录网页没有列出此项;详细 PDF 中的说明仍待确认。
校方目录网页
怎么考,怎样才算通过
- 考核方式
Continuous Assessment: 40%
Examination: 60%
Examination Duration: 2 hours
校方目录网页 · Assessment (Indicative only, please check the detailed course information)
学分、时长与版本信息
- 本版本课程名称
Statistical Methods and Data Analysis
校方目录网页 · Course title
- 本版本学分
3
校方目录网页 · Credit Units
- 修读时长
One Semester
校方目录网页 · Course Duration
核对官方原文件
这份历史官方目录网页列出课程名称、学分、教学单位、课程目标、考核摘要及网页实际列出的课程关系。已保存的网页正文没有详细课纲或学习成果,本轮也未核读 PDF;这里不据此推断当前是否开课。
本页暂未提供该学年的 PDF 预览。
来源 · 校方课程介绍 ↗ · 查阅 2026-10-21