2024/25 Undergraduate Module Catalogue
LLLC1364 Mathematics and Statistics for Managers
20 creditsClass Size: 40
Module manager: David Gilding
Email: d.gilding@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2024/25
This module is mutually exclusive with
| LUBS1195 | Introductory Modelling for Management (1) |
| LUBS1675 | Introductory Statistics for Management (I) |
| MATH0111 | Elementary Diff Calculus 1 |
| MATH0131 | Elementary Differential Calculus (Version 2) |
| MATH0212 | Elementary Integral Calculus (Version 1) |
| MATH0360 | Introduction to Applied Mathematics 1 |
| MATH0365 | Foundation Probability and Statistics |
| MATH0370 | Introduction to Applied Mathematics 2 |
| MATH0380 | Foundation Applied Mathematics for Business |
| MATH1050 | Calculus and Mathematical Analysis |
| MATH1150 | Mathematics for Geophysical Sciences 2 |
| MATH1351 | Applications of Mathematics |
| MATH1400 | Modelling with Differential Equations |
| MATH1410 | Modelling Force and Motion |
| MATH1460 | Mathematics for Geophysical Sciences 1 |
| MATH1715 | Introduction to Probability |
| MATH1725 | Introduction to Statistics |
| MATH1815 | Modelling in Statistics and Probability |
| MATH1825 | Statistics Through Application |
| MATH1840 | Introduction to Statistical Modelling |
| MATH1910 | Modelling and Investigations |
| MATH1915 | Basic Use of Computers for Mathematics |
| MATH1916 | Basic Use of Computers for Mathematics |
| MATH1917 | Basic Use of Computers for Mathematicians |
| MATH1960 | Calculus |
This module is not approved as a discovery module
Objectives
To enable students to develop:- An understanding of mathematical modelling and inferential statistics as management decision making tools
Learning outcomes
Knowledge of :
- Algebraic notation and manipulation
- Linear regression
- Correlation
- Probability theory
- Sampling theory
- Inferential statistics
Skills outcomes
Ability to :
- Apply mathematical and statistical techniques to business related problems.
Syllabus
Consideration of theory and practice in relation to :
- Algebraic notation and manipulation
- Linear regression
- Correlation
- Probability theory
- Sampling theory
- Inferential statistics
Teaching methods
| Delivery type | Number | Length hours | Student hours |
| Workshop | 11 | 2.00 | 22.00 |
| Seminar | 5 | 1.00 | 5.00 |
| Private study hours | 173.00 | ||
| Total Contact hours | 27.00 | ||
| Total hours (100hr per 10 credits) | 200.00 | ||
Private study
Reading 80 hoursCritical reflection on practice 33 hours
Seminar preparation 20 hours
Assignment preparation 20 hours
Assignment Writing 20 hours
TOTAL 173
Opportunities for Formative Feedback
Through regular workshops, monitoring of student contributions, formative feedback and the staged submission of courseworkMethods of assessment
Coursework
| Assessment type | Notes | % of formal assessment |
| In-course Assessment | 2 hour in-course exam | 50.00 |
| Total percentage (Assessment Coursework) | 50.00 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Exams
| Exam type | Exam duration | % of formal assessment |
| Standard exam (closed essays, MCQs etc) | 2 hr | 50.00 |
| Total percentage (Assessment Exams) | 50.00 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading list
The reading list is available from the Library websiteLast updated: 29/04/2024 16:16:09
Browse Other Catalogues
- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
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