EE3001Foundations of Data Engineering

What you will study

Course overview

The aim of this course is to provide students with an understanding of the basic probability and statistical techniques used in data engineering.

Official PDF, page 2 · Abstract

Course content

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

Official PDF, page 4 · Keyword Syllabus

Intended learning outcomes

View official learning outcomes and conditions

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

Official PDF, page 2 · Course Intended Learning Outcomes (CILOs)

Before you take this course

Check prerequisites, precursors and corequisites separately, together with equivalence and exclusion conditions. “and” means conditions must be met together; “or” marks alternatives. Read combined conditions in the groupings shown in the original text below.

Prerequisites

MA1200 Calculus and Basic Linear Algebra I, or MA1300 Enhanced Calculus and Linear Algebra I

Official PDF, page 1 · Prerequisites

Precursors

MA1201 Calculus and Basic Linear Algebra II, or MA1301 Enhanced Calculus and Linear Algebra II

Official PDF, page 1 · Precursors

Corequisites

This edition of the official syllabus does not state this item.

Additional course requirements

This edition of the official syllabus does not state this item.

Equivalent courses and conditions

Nil

Official PDF, page 1 · Equivalent Courses

Exclusive courses and conditions

Nil

Official PDF, page 1 · Exclusive Courses

Assessment and passing the course

Assessment

Continuous Assessment (%): 50; Examination (%): 50; Examination Duration (Hours): 2

View the original assessment table and instructions

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)

Official PDF, page 2 · Continuous Assessment (%),Examination (%),Examination Duration (Hours)

Passing requirements

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.

Official PDF, page 3 · Minimum Examination Passing Requirement (%),Additional Information for ATs