2008/09 Undergraduate Module Catalogue

LUBS1195 Introductory Modelling for Management (1)

10 creditsClass Size: 290

Module manager: Luisa Huatucco
Email: LH2@lubs.leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2008/09

Pre-requisite qualifications

Pass in GCSE Mathematics at grade B or above

This module is mutually exclusive with

LUBS1240	Mathematics and Statistics for Business and Economics 1
MATH0111	Elementary Differential Calculus (Version 1)
MATH0131	Elementary Differential Calculus (Version 3)
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	Linear Differential Equations and 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

Module summary

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: Business School

Objectives

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.

Learning outcomes
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.

Skills outcomes
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

Syllabus

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); Optimisation (profit maximisation) and Forecasting (time series, trends and seasonal effects).

Teaching methods

Delivery type	Number	Length hours	Student hours
Lecture	11	2.00	22.00
Seminar	8	1.00	1.00
Private study hours			77.00
Total Contact hours			23.00
Total hours (100hr per 10 credits)			100.00

Private study

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.

Opportunities for Formative Feedback

Weekly assessments will be collected from the class and some will be marked and returned.

Methods of assessment

Exams

Exam type	Exam duration	% of formal assessment
Standard exam (closed essays, MCQs etc)	2 hr 00 mins	100.00
Total percentage (Assessment Exams)		100.00

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 website

Last updated: 09/02/2009

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