EE3211Modelling Techniques

这门课学什么

课程简介

This course aims to develop students’ ability to formulate, analyse and solve statistical or engineering problems using software tools, such as R. The goal of the course is to train students to become effective modellers who can build sound models to solve statistical or engineering problems in various functional areas.

校方 PDF 第 1–2 页 · Abstract

课程内容

Keyword Syllabus Introduction to statistical modelling tools Definition of statistical modelling. Types of statistical models. Introduction of features and functions of the software tools. Examples on the above features and functions. Data Analysis using software tools Features of data in engineering contexts using statistics. Data analysis to support decision making. Extracting information from available data. Visualization and data processing using software tools. Real world problems Introduction of real world problems in different areas. Modelling of those problems. Applying the software tools to solve those problems. Analysis of modelling processes Plots examination.Sample size determination. Interpretation of results. Various topics in applied multivariate analysis such as multiple linear regression, logistic regression, parametric and non-parametric statistical models and longitudinal analysis.

校方 PDF 第 3–4 页 · Keyword Syllabus

预期学习成果

查看校方学习成果与对应条件

Course Intended Learning Outcomes (CILOs)
               CILOs                                                 Weighting (if DEC-A1           DEC-A2           DEC-A3
                                                                     app.)
1              Describe the processes for modelling, statistical                      x              x
               or engineering problems, and analyzing data
2              Formulate the statistical models for the real                          x              x
               problems
3              Implement the models using software tools                              x              x               x
4              Verify the results obtained from software tool                         x              x               x
               models, and communicate the analysis and
               findings in layman's terms

A1: Attitude
Develop an attitude of discovery/innovation/creativity, as demonstrated by students possessing a strong sense of curiosity,
asking questions actively, challenging assumptions or engaging in inquiry together with teachers.

A2: Ability
Develop the ability/skill needed to discover/innovate/create, as demonstrated by students possessing critical thinking skills
to assess ideas, acquiring research skills, synthesizing knowledge across disciplines or applying academic knowledge to
real-life problems.

A3: Accomplishments
Demonstrate accomplishment of discovery/innovation/creativity through producing /constructing creative works/new
artefacts, effective solutions to real-life problems or new processes.

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

EE3001 Foundations of Data Engineering

校方 PDF 第 1 页 · Prerequisites

建议先备知识

无（校方注明 Nil）

校方 PDF 第 1 页 · Precursors

并修要求

所查阅的校方 PDF 和目录页均未列明该项。

其他修读要求

本页尚无已核实的这一项信息。

等同课程及条件

EE2203 Modelling Techniques

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: 70%; Examination: 30%; Examination duration: 2 hours

各项考核占多少分

考核项目	比重	生成式 AI 使用	备注与限制
Tests (min.: 2)CILO 1, 2, 3, 4	35%	否（No）	原表未列明
Assignments (min.: 3)CILO 1, 2, 3, 4	35%	是（Yes）	原表未列明

校方 PDF 第 2–3 页 · Assessment Tasks / Activities (ATs)

查看校方原始考核表与使用要求

Assessment Tasks / Activities (ATs)
                      ATs                 CILO No.              Weighting (%)             Remarks ("-" for     Allow Use of
                                                                                          nil entry)           GenAI?
1                     Tests (min.: 2)     1, 2, 3, 4            35                        -                    No
2                     Assignments (min.: 1, 2, 3, 4             35                        -                    Yes
                      3)

Continuous Assessment (%)
70

Examination (%)
30

Examination Duration (Hours)
2


Additional Information for ATs
Remark: To pass the course, students are required to achieve at least 30% in course work and 30% in the examination. # may
include homework, tutorial exercise, project/mini-project, presentation

通过条件

At least 30% in coursework and 30% in the examination.

校方 PDF 第 3 页 · Additional Information for ATs