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MATH10130

Academic Year 2024/2025

Introduction to Analysis for Economics and Finance (MATH10130)

Subject:
Mathematics
College:
Science
School:
Mathematics & Statistics
Level:
1 (Introductory)
Credits:
5
Module Coordinator:
Dr Hermann Render
Trimester:
Autumn
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This module is an introduction to mathematical analysis and differential calculus, with applications to finance. It begins with an introduction to mathematical reasoning and will then cover important concepts from analysis including functions, real numbers, sequences and limits, continuity and differentiability, power series, integration. Topics from finance to be discussed in a mathematical context include interest rates, net present value and elasticity.

About this Module

Learning Outcomes:

On completion of this module students should be able to: Analyse mathematical problems; implement the methods of differential and integral calculus; solve a simple financial problem with mathematical tools; solve maxima and minima problems; compute and evaluate integrals of functions of single variable.

Student Effort Hours:
Student Effort Type Hours
Lectures

30
Tutorial

12
Autonomous Student Learning

58
Total

100

Approaches to Teaching and Learning:
Lectures, tutorials, enquiry and problem-based learning.

Requirements, Exclusions and Recommendations
Learning Requirements:

Grade C or higher in Leaving Certificate Higher Mathematics Papers or equivalent.

Learning Recommendations:

At least H4 in the Leaving Certificate Exam (or equivalent).


Module Requisites and Incompatibles
Incompatibles:
ECON10030 - Intro Quantitative Economics, MATH10030 - Maths for Business, MATH10060 - Diff & Integral Calc, MATH10070 - Introduction to Calculus, MATH10310 - Calculus for Science, MATH10420 - Intro Calculus Engineers(NUin), MATH10430 - Intro Calculus Engineers(NUin), MST00050 - Mathematics: An introduction, MST10010 - Calculus I, STAT10010 - Research Methods, STAT10140 - Research Methods for Science


 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Participation in Learning Activities: Attending the tutorials and solving questions based on an online-based homework system (webwork). Week 2, Week 3, Week 4, Week 5, Week 6, Week 7, Week 8, Week 9, Week 10, Week 11, Week 12 Alternative linear conversion grade scale 40% No
30
 No
Exam (In-person): Two hour exam in exam centre End of trimester
Duration:
2 hr(s)
 Alternative linear conversion grade scale 40% No
70
 No

Carry forward of passed components
No
 

Resit In Terminal Exam
Spring Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Calculus: Single Variable, 7th Edition
Authors: Deborah Hughes-Hallett et al.
ISBN-13: 978-1119379331

Name Role
Sebastian Benedikt Flad Tutor

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Autumn Lecture Offering 1 Week(s) - Autumn: All Weeks Mon 10:00 - 10:50
Autumn Lecture Offering 1 Week(s) - Autumn: All Weeks Thurs 13:00 - 13:50
Autumn Tutorial Offering 1 Week(s) - Autumn: Weeks 2-12 Thurs 14:00 - 14:50
Autumn Lecture Offering 1 Week(s) - Autumn: All Weeks Tues 09:00 - 09:50
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