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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

LUBS1195Introductory Modelling for Management (1)
LUBS1240Maths&Stats For Bus&Ec 1
MATH0111Elementary Diff Calculus 1
MATH0131Elementary Differential Calculus (Version 2)
MATH0380Foundation Applied Mathematics for Business
MATH1050Calculus and Mathematical Analysis
MATH1150Mathematics for Geophysical Sciences 2
MATH1331Linear Algebra with Applications
MATH1460Mathematics for Geophysical Sciences 1
MATH1932Calculus, ODEs and Several-Variable Calculus
MATH1960Calculus
MATH1970Differential Equations
MATH2375Lin Dif Equations & Transforms
MATH2640Introduction to Optimisation
MATH2790Modelling and Simulation
MATH3171Algebra and Numbers
MATH3473Numerical Solutions of Partial Differential Equations
MATH3474Numerical Methods
MATH3715Linear Models
MATH3743Design and Analysis of Experiments
MATH3772Multivariate 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 typeNumberLength hoursStudent hours
Lecture112.0022.00
Seminar81.008.00
Private study hours70.00
Total Contact hours30.00
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 typeExam duration% of formal assessment
Standard exam (closed essays, MCQs etc)2 hr 00 mins100.00
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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