2024/25 Undergraduate Module Catalogue

LUBS1275 Mathematics and Statistics for Economics and Business 1A

10 Credits Class 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 7

Mutually Exclusive

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 21
Seminar 5 1 5
Private study hours 74
Total Contact hours 26
Total hours (100hr per 10 credits) 100

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.

Exams
Exam type Exam duration % of formal assessment
Standard exam (closed essays, MCQs etc) 2.0 Hrs Mins 100
Total percentage (Assessment Exams) 100

The resit for this module will be 100% by 2 hour examination.

Reading List

The reading list is available from the Library website

Last updated: 9/26/2024

Errors, omissions, failed links etc should be notified to the Catalogue Team