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2021/22 Undergraduate Module Catalogue

LUBS1285 Mathematics and Statistics for Economics and Business 1B

10 creditsClass Size: 900

Module manager: Henry Duncanson
Email: H.Duncanson@leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2021/22

Pre-requisite qualifications

Completion of LUBS1275 Mathematics and Statistics for Economics and Business 1A
OR
A-level Maths Grade B

This module is mutually exclusive with

LUBS1525Analytical Methods
LUBS1630Introductory Statistics for Business
MATH0212Elementary Integral Calculus (Version 1)
MATH1050Calculus and Mathematical Analysis
MATH1400Modelling with Differential Equations
MATH1710Probability and Statistics I

Module replaces

LUBS1260 Mathematics for Economics and Business 1 (in full)LUBS1270 Statistics for Economics and Business 1 (in part)LUBS1280 Mathematical Economics (in part)

This module is not approved as a discovery module

Module summary

This module aims to provide students with a basic knowledge of mathematics and statistical tools that are required to understand economics and business. It is intended to provide both reinforcement of learning from A-level mathematics or LUBS1275 Mathematics and Statistics for Economics and Business 1A and to introduce new mathematical and statistical tools to students.

Objectives

This module aims to provide students with a basic knowledge of mathematics and statistical tools that are required to understand economics and business. It is intended to provide both reinforcement of learning from A-level mathematics or LUBS1275 Mathematics and Statistics for Economics and Business 1A and to introduce new mathematical and statistical tools for students.

Learning outcomes
Upon completion of this module students will be able to:
- further 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
- apply logic to solve problems

Subject specific
- utilise mathematics and statistics as tools to solve problems in economics and business


Syllabus

Indicative content:
Probability distributions; sampling, intervals and hypothesis testing; regression; integration and partial differentiation; and optimisation.

Teaching methods

Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for information

Delivery typeNumberLength hoursStudent hours
Workshop111.0011.00
Independent online learning hours7.50
Private study hours81.50
Total Contact hours11.00
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

Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for information


Exams
Exam typeExam 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 website

Last updated: 22/09/2021 13:59:21

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