Module manager: Dr Luisa Huatuco
Email: lh2@lubs.leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2012/13
Pass in GCSE Mathematics at grade A or above.
| LUBS1195 | Introductory Modelling for Management (1) |
| LUBS1240 | Maths&Stats For Bus&Ec 1 |
| MATH0111 | Elementary Diff Calculus 1 |
| MATH0131 | Elementary Differential Calculus (Version 2) |
| MATH0380 | Foundation Applied Mathematics for Business |
| MATH1050 | Calculus and Mathematical Analysis |
| MATH1150 | Mathematics for Geophysical Sciences 2 |
| MATH1331 | Linear Algebra with Applications |
| MATH1460 | Mathematics for Geophysical Sciences 1 |
| MATH1932 | Calculus, ODEs and Several-Variable Calculus |
| MATH1960 | Calculus |
| MATH1970 | Differential Equations |
| MATH2375 | Lin Dif Equations & Transforms |
| MATH2640 | Introduction to Optimisation |
| MATH2790 | Modelling and Simulation |
| MATH3171 | Algebra and Numbers |
| MATH3473 | Numerical Solutions of Partial Differential Equations |
| MATH3474 | Numerical Methods |
| MATH3715 | Linear Models |
| MATH3743 | Design and Analysis of Experiments |
| MATH3772 | Multivariate Analysis |
This module is not approved as an Elective
On completion of this module, students should be able to:
- appraise the value of basic modelling techniques to a wide range of business situations and business problems; and
- demonstrate the transferable skills of numeracy and quantitative analysis.
On completion of this module, students should be able to:
- solve business problems using the business modelling techniques taught in the module;
- evaluate different alternatives in a business context;
- analyse numerical data and derive managerial recommendations.
Introduction to the most commonly used types of business models comprising:
- Project planning (Critical Path Analysis)
- Scheduling (Gantt charts, sequencing rules, rescheduling)
- Decision analysis (decision rules, decision trees)
- Simulation (queues, simulation tables, random inputs, output interpretation)
- Financial analysis (index numbers, interests, present values, series of payments)
- Linear programming (LP models, graphical and analytical solutions; sensitivity analysis) and
- Optimisation (profit maximisation).
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lecture | 11 | 2 | 22 |
| Seminar | 8 | 1 | 8 |
| Private study hours | 70 | ||
| Total Contact hours | 30 | ||
| Total hours (100hr per 10 credits) | 100 | ||
Weekly assessments will be collected from the class and some will be marked and returned.
| Exam type | Exam duration | % of formal assessment |
|---|---|---|
| Standard exam (closed essays, MCQs etc) | 2.0 Hrs 0 Mins | 100 |
| Total percentage (Assessment Exams) | 100 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
The reading list is available from the Library website
Last updated: 4/22/2013
Errors, omissions, failed links etc should be notified to the Catalogue Team