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City University of Hong Kong · Course

EF2452Mathematics for Economics and Finance

2026/27 · Undergraduate

Course code
EF2452
Credit units
3
Academic unit
Department of Economics and Finance
Readable study materials
44 items

Course overview and requirements

Choose the outline year, then review the content, entry requirements and assessment.

2026/27 · Official catalogue edition

The effective term printed in this PDF is Semester A 2025/26。

This outline is still being checked. Before registering, confirm entry and assessment requirements against the official document linked below.

Offering record for 2026/27:Semester A 2026/27 · Catalogue source ↗

The PDF Effective Term is separate from the 2026/27 catalogue year and current offering observation.

What you will study

Course overview
This course aims to equip students with a set of fundamental mathematical concepts underlying decision-making in economics and finance. It also aims to develop students’ creativity and originality through various assessment tasks and teaching and learning. The lectures encourage students to develop their discovery ability through in-class discussions, which enhance students’ understanding of mathematical concepts. Students are required to apply fundamental mathematical concepts to solve real world problems in designed scenarios. Only an accurate understanding of the underlying economic concepts can direct which mathematical tools can be applied to the situation. A final interpretation of the numerical solution with economic concepts shows the accomplishment of students’ ability to discover and innovate.

Official PDF, pages 1–2 · Abstract

Course content
Keyword Syllabus Mathematical Concepts: Linear and Non-Linear Functions Systems of Equations Matrix and Linear Algebra Sequences and Series Calculus Univariate Optimization Optimization in Two Variables Constrained Optimization Applications: Consumption Functions Production & Costs Elasticity, Revenues and Profits Supply and Demand Discounting and Net Present Value Pricing of Risky Assets Input-output model

Official PDF, page 6 · Keyword Syllabus

Intended learning outcomes
View official learning outcomes and conditions
Course Intended Learning Outcomes (CILOs)
               CILOs                                              Weighting (if DEC-A1          DEC-A2          DEC-A3
                                                                  app.)
1              Demonstrate proficiency over underlying             40              x             x
               fundamental mathematical tools in economics
               and finance.
2              Identify and apply the requisite quantitative      50              x             x               x
               techniques towards investigating decision-
               making in economics and finance.
3              Analyze economics and financial issues through 10                                 x               x
               a more quantitative approach and provide
               appropriate economic interpretation. Ability
               to innovate and broaden understanding of real
               world economic issues.

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.

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
Nil

Official PDF, page 1 · Prerequisites

Precursors
Nil

Official PDF, page 1 · Precursors

Corequisites
The reviewed official PDF and catalogue page do not state this item.
Additional course requirements
Complete official information for this field is not available.
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: 60%; Examination: 40%; Examination duration: 2 hours

Assessment breakdown

Assessment taskWeightGenerative AIRemarks and restrictions
Midterm examinationCILO 2, 320%NoNot stated in source row
Assignments, Quizzes, and projectsCILO 1, 2, 340%YesYou are not allowed to use Generative Artificial Intelligence Tools in an quiz(zes).

Official PDF, pages 3–5 · Assessment Tasks / Activities (ATs)

This source row groups several tasks. Its GenAI column says Yes, while its remark explicitly prohibits generative AI in quizzes. Read both together.

View the original assessment table and instructions
Assessment Tasks / Activities (ATs)
                     ATs                  CILO No.            Weighting (%)   Remarks ("-" for   Allow Use of
                                                                              nil entry)         GenAI?
1                    Midterm             2, 3                 20              -                  No
                     examination
                     The midterm
                     exams will include
                     questions that
                     require students to
                     identify and apply
                     the mathematic
                     tools to solve
                     optimization
                     problems in
                     economics and
                     finance.


2                    Assignments,         1, 2, 3    40   You are not          Yes
                     Quizzes, and                         allowed to use
                     projects                             Generative
                     Students will be                     Artificial
                     asked to complete                    Intelligence Tools
                     an in-course                         in an quiz(zes).
                     assessment which
                     may be in the
                     format of multiple
                     choice, short
                     questions, or long
                     questions. Students
                     must exercise and
                     apply their own
                     judgement using
                     the skills taught in
                     class in order to
                     analyse economics
                     and financial
                     issues through a
                     more quantitative
                     approach.The
                     assignments are
                     designed to help
                     students master
                     the mathematical
                     tools and let them
                     better understand
                     the economic
                     intuitions behind
                     mathematical
                     derivation. Projects
                     are assigned to
                     encourage students
                     to solve real
                     world economic
                     problems
                     or analyse
                     contemporary
                     hot issues. This
                     will stimulate
                     students’ interest
                     and let them get
                     experienced with
                     practical issues.

Continuous Assessment (%)
60

Examination (%)
40

Examination Duration (Hours)
2

Additional Information for ATs


Students are required to pass both coursework and examination components in order to pass the course.

Passing requirements
Must pass both coursework and examination components; no numeric threshold stated.

Official PDF, page 5 · Additional Information for ATs

Credits, duration and edition details
Title in this edition
Mathematics for Economics and Finance

Official PDF, page 1 · Course Title

Credits in this edition
3

Official PDF, page 1 · Credit Units

Course duration
One Semester

Official PDF, page 1 · Course Duration

Syllabus effective term
Semester A 2025/26
Levels printed in the syllabus
B1, B2, B3, B4 - Bachelor's Degree

Check the official document

Read or download this edition through the university link below. EF2452 · Open the original university PDF ↗

Source · University course information ↗ · Checked 2026-10-19T07:48:44.198323+00:00

Study materials

44 readable items

Browse by the material’s own year and type. Historical materials are study references.

40 / 44 items
  • HW1 (1)

    Assignments · 2024-2025 Semester A · Local review material · 119 KB

  • HW1_Solutions

    Solutions · 2024-2025 Semester A · Local review material · 139 KB

  • HW2

    Assignments · 2024-2025 Semester A · Local review material · 116 KB

  • HW2_Solutions

    Solutions · 2024-2025 Semester A · Local review material · 130 KB

  • HW3

    Assignments · 2024-2025 Semester A · Local review material · 123 KB

  • HW3_Solutions

    Solutions · 2024-2025 Semester A · Local review material · 119 KB

  • HW4

    Assignments · 2024-2025 Semester A · Local review material · 112 KB

  • HW4_Solutions

    Solutions · 2024-2025 Semester A · Local review material · 135 KB

  • ICA_1 (1)

    Other · 2024-2025 Semester A · Local review material · 86 KB

    Material type follows its original classification.

  • ICA_1_Solutions

    Solutions · 2024-2025 Semester A · Local review material · 113 KB

  • ICA_2

    Other · 2024-2025 Semester A · Local review material · 64 KB

    Material type follows its original classification.

  • ICA_2_Solutions

    Solutions · 2024-2025 Semester A · Local review material · 111 KB

    Material type follows its original classification.

  • ICA_3

    Other · 2024-2025 Semester A · Local review material · 74 KB

    Material type follows its original classification.

  • ICA_3_Solutions

    Solutions · 2024-2025 Semester A · Local review material · 117 KB

    Material type follows its original classification.

  • ICA_4

    Other · 2024-2025 Semester A · Local review material · 77 KB

    Material type follows its original classification.

  • ICA_4_Solutions

    Solutions · 2024-2025 Semester A · Local review material · 104 KB

    Material type follows its original classification.

  • ICA_5

    Other · 2024-2025 Semester A · Local review material · 79 KB

    Material type follows its original classification.

  • ICA_5_Solutions

    Solutions · 2024-2025 Semester A · Local review material · 107 KB

    Material type follows its original classification.

  • Lecture_1_Part_II_of_II

    Lecture slides · 2024-2025 Semester A · Local review material · 182 KB

  • Lecture_2_Part_I_of_II

    Lecture slides · 2024-2025 Semester A · Local review material · 348 KB

  • Lecture_2_Part_II_of_II

    Lecture slides · 2024-2025 Semester A · Local review material · 206 KB

  • Lecture_3_Part_I_of_II

    Lecture slides · 2024-2025 Semester A · Local review material · 244 KB

  • Lecture_3_Part_II_of_II

    Lecture slides · 2024-2025 Semester A · Local review material · 131 KB

  • Lecture_4_Part_II_of_II

    Lecture slides · 2024-2025 Semester A · Local review material · 156 KB

  • Lecture_5

    Lecture slides · 2024-2025 Semester A · Local review material · 208 KB

  • Lecture_6_Part_I_of_II

    Lecture slides · 2024-2025 Semester A · Local review material · 279 KB

  • Lecture_6_Part_II_of_II

    Lecture slides · 2024-2025 Semester A · Local review material · 439 KB

  • Lecture_7_Part_I_of_II

    Lecture slides · 2024-2025 Semester A · Local review material · 182 KB

  • Lecture_7_Part_II_of_II

    Lecture slides · 2024-2025 Semester A · Local review material · 184 KB

  • Lecture_8_Part_I_of_II

    Lecture slides · 2024-2025 Semester A · Local review material · 106 KB

  • Lecture_8_Part_II_of_II

    Lecture slides · 2024-2025 Semester A · Local review material · 202 KB

  • Lecture_9_Part_I_of_II

    Lecture slides · 2024-2025 Semester A · Local review material · 88 KB

  • Lecture_9_Part_II_of_II

    Lecture slides · 2024-2025 Semester A · Local review material · 245 KB

  • Lecture_10

    Lecture slides · 2024-2025 Semester A · Local review material · 409 KB

  • Practice_Problems_1

    Notes · 2024-2025 Semester A · Local review material · 99 KB

  • Practice_Problems_1_Solutions

    Solutions · 2024-2025 Semester A · Local review material · 102 KB

    Material type follows its original classification.

  • Practice_Problems_2

    Notes · 2024-2025 Semester A · Local review material · 103 KB

  • Practice_Problems_2_Solutions

    Solutions · 2024-2025 Semester A · Local review material · 107 KB

    Material type follows its original classification.

  • Practice_Problems_3

    Notes · 2024-2025 Semester A · Local review material · 96 KB

  • Practice_Problems_3_Solutions

    Solutions · 2024-2025 Semester A · Local review material · 108 KB

    Material type follows its original classification.

Ready to register for this course?

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