2026/27 · 官方课程目录版本
该 PDF 文件注明的生效学期为 Semester B 2025/26。
这版课程介绍仍在逐项核对。选课前,请对照下方校方原文件确认修读条件和考核要求。
2026/27 开课安排尚未核对。选课前请在 AIMS 确认可选课节。
The PDF Effective Term is separate from the 2026/27 catalogue year and current offering observation.
这门课学什么
港真课程概览
以概率和统计方法支撑数据工程,练习用随机变量与分布表达数据及变量关系,并将建模工具用于工程数据问题。
- 课程简介
- The aim of this course is to provide students with an understanding of the basic probability and statistical techniques used in data engineering.
校方 PDF 第 2 页 · Abstract
- 课程内容
- Introduction A bird eye’s view of the course with an emphasis on probabilistic and statistical techniques and tools for data engineering applications, and the use and possible miss-uses Probability models for data engineering Essential concepts in probability, Bayes’ reasoning, Markov and Chebyshev’s inequality, representation of data and events as random variables, popular probability distributions in data engineering, ways to represent relationships between random variables, sampling methods Statistical tools and their data engineering applications Statistical descriptors, parameter estimation, parametric and non-parametric hypothesis testing, correlation, linear regression and model building, prediction, useful engineering tools and software, assumptions, precautions and limits of statistics, common pitfalls in interpreting data
校方 PDF 第 4 页 · Keyword Syllabus
- 预期学习成果
查看校方学习成果与对应条件
CILOs Weighting (if DEC-A1 DEC-A2 DEC-A3 app.) 1 Apply and evaluate probability techniques for x x modeling and analyzing data 2 Analyze and interpret data using statistical x x tools, explain their physical meanings and implications 3 Demonstrate the application of learned x x techniques in solving real-world data engineering problems校方 PDF 第 2 页 · Course Intended Learning Outcomes (CILOs)
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 PDF 第 1 页 · Prerequisites
- 建议先备知识
校方 PDF 第 1 页 · Precursors
- 并修要求
- 该版官方课纲未列明该项。
- 其他修读要求
- 该版官方课纲未列明该项。
- 等同课程及条件
- 无(校方注明 Nil)
校方 PDF 第 1 页 · Equivalent Courses
- 互斥课程及条件
- 无(校方注明 Nil)
校方 PDF 第 1 页 · Exclusive Courses
怎么考,怎样才算通过
- 考核方式
- Continuous Assessment (%): 50; Examination (%): 50; Examination Duration (Hours): 2
查看校方原始考核表与使用要求
ATs CILO No. Weighting (%) Remarks ("-" for Allow Use of nil entry) GenAI? 1 Tests (min.:2) 1, 2, 3 30 - No 2 #Assignments 1, 2, 3 20 - Yes (min.: 3)校方 PDF 第 2 页 · Continuous Assessment (%),Examination (%),Examination Duration (Hours)
- 通过条件
- Minimum Examination Passing Requirement (%): 30 Additional Information for ATs: Remark: To pass the course, students are required to achieve at least 30% in coursework and 30% in the examination. # may include mini projects, in-class assignments, and homework assignments.
校方 PDF 第 3 页 · Minimum Examination Passing Requirement (%),Additional Information for ATs
学分、时长与版本信息
- 本版本课程名称
- Foundations of Data Engineering
校方 PDF 第 1 页 · Course Title
- 本版本学分
- 3
校方 PDF 第 1 页 · Credit Units
- 修读时长
- One Semester
校方 PDF 第 1 页 · Course Duration
- 课纲生效学期
- Semester B 2025/26
- 课纲列明的级别
- B1, B2, B3, B4 - Bachelor's Degree
校方 PDF 第 1 页 · Level
核对官方原文件
可通过下方校方链接阅读或下载该版原始 PDF。 EE3001 · 打开校方原始 PDF ↗
来源 · 校方课程介绍 ↗ · 查阅 2026-10-20T13:35:32.440Z