Module manager: Luisa Huatucco
Email: LH2@lubs.leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2011/12
Pass in GCSE Mathematics at grade B or above.
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 |
MATH2735 | Statistical Modelling |
MATH2790 | Modelling and Simulation |
MATH3171 | Algebra and Numbers |
MATH3474 | Numerical Methods |
MATH3715 | Linear Models |
MATH3743 | Design and Analysis of Experiments |
MATH3772 | Multivariate Analysis |
This module is not approved as an Elective
The aim of this module is to introduce students to commonly used techniques for solving business problems such as planning networks, simulation techniques, decision analyses, financial analyses, linear programming and optimization. Further information about the Business School is available on the website: <a href= " http://lubswww.leeds.ac.uk/undergraduate/index.php?id=64"target=_blank">Business School</a>
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.
- Written communication: Practiced and Assessed
- Teamwork: Practiced
- Oral presentation: Practiced
- Planning and organising: Practiced and Assessed
- Analysis, criticality and argument: Introduced, Practiced and Assessed
- Problem solving: Introduced, Practiced and Assessed
- Numeracy: Practiced and Assessed
- IT/ICT and skills computer literacy: Practiced
- Time- and self-management: Introduced, Practiced and Assessed.
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 | 1 |
Private study hours | 77 | ||
Total Contact hours | 23 | ||
Total hours (100hr per 10 credits) | 100 |
For each 10 credits of study taken, the expectation is that the normal study time (including attendance at lectures and tutorials, self-study and revision) is 100 hours.
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: 3/29/2012
Errors, omissions, failed links etc should be notified to the Catalogue Team