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2012/13 Undergraduate Module Catalogue

LUBS2195 Introductory Modelling for Management (II)

10 creditsClass Size: 150

Module manager: Dr Luisa Huatuco
Email: lh2@lubs.leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2012/13

Pre-requisite qualifications

Pass in GCSE Mathematics at grade A or above.

This module is mutually exclusive with

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

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.

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) and
- Optimisation (profit maximisation).

Teaching methods

Delivery type	Number	Length hours	Student hours
Lecture	11	2.00	22.00
Seminar	8	1.00	8.00
Private study hours			70.00
Total Contact hours			30.00
Total hours (100hr per 10 credits)			100.00

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: 22/04/2013

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