## LUBS1275 Mathematics and Statistics for Economics and Business 1A

### 10 creditsClass Size: 250

Email: T.Gwiazdowski@leeds.ac.uk

Taught: Semester 1 View Timetable

Year running 2019/20

### Pre-requisite qualifications

GCSE Maths Grade A or 7

### This module is mutually exclusive with

 LUBS1525 Analytical Methods 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

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 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 and descriptive 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

Students will be required to engage with the lecture and seminar material and, in particular, solve independently problems which will deepen their understanding of the material.

### Opportunities for Formative Feedback

Students will complete bi-weekly seminars and be given the opportunity for some formative feedback. Students will also be asked to complete questions in lectures and to engage with multiple choice questions throughout the semester.

### 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.