2024/25 Undergraduate Module Catalogue
LUBS1275 Mathematics and Statistics for Economics and Business 1A
10 creditsClass Size: 247
Module manager: Barnali Basak
Email: B.Basak@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2024/25
Pre-requisite qualifications
GCSE Maths Grade A or 7This module is mutually exclusive with
LUBS1630 | Introductory Statistics for Business |
MATH0111 | Elementary Diff Calculus 1 |
MATH0365 | Foundation Probability and Statistics |
MATH1050 | Calculus and Mathematical Analysis |
MATH1400 | Modelling with Differential Equations |
MATH1710 | Probability and Statistics I |
This module is not approved as a discovery module
Module summary
This modules in an introduction to mathematics and statistical tools that are required to understand economics and business. It is intended to provide both an introduction to these tools for students with a less quantitative background and a refresher for those looking to enhance their existing understanding of fundamental mathematical methods.PLEASE NOTE: This module is NOT available to any students on single or joint honours programmes in Mathematics.Objectives
This module aims to provide students with an introduction to core skills in the areas of mathematics and statistics that are fundamental to other taught topics undertaken as part of Leeds University Business School (LUBS) courses. It introduces the basic mathematical and statistical tools that are pre-requisites for understanding economics and business.Learning outcomes
Upon completion of this module students will be able to:
- understand the fundamental techniques of mathematics and statistics associated with economics and business
- use and apply the techniques to economics and business examples
Skills outcomes
Upon completion of this module students will be able to :
Transferable:
- begin to apply logic to solve problems
Subject specific:
- begin to utilise mathematics and statistics as tools to solve problems in economics and business
Syllabus
Indicative content:
Algebra and functions;
One Variable Calculus;
Logarithms and exponentials;
Inequality and limits;
Introduction to probability; and
Data, descriptive statistics and inferential statistics.
Teaching methods
Delivery type | Number | Length hours | Student hours |
Lecture | 21 | 1.00 | 21.00 |
Seminar | 5 | 1.00 | 5.00 |
Private study hours | 74.00 | ||
Total Contact hours | 26.00 | ||
Total hours (100hr per 10 credits) | 100.00 |
Private study
This could include a variety of activities, such as reading, watching videos, question practice and exam preparation.Opportunities for Formative Feedback
Your teaching methods could include a variety of delivery models, such as face-to-face teaching, live webinars, discussion boards and other interactive activities. There will be opportunities for formative feedback throughout the module.Methods of assessment
Exams
Exam type | Exam duration | % of formal assessment |
Standard exam (closed essays, MCQs etc) | 2 hr | 100.00 |
Total percentage (Assessment Exams) | 100.00 |
The resit for this module will be 100% by 2 hour examination.
Reading list
The reading list is available from the Library websiteLast updated: 26/09/2024 14:18:20
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