2011/12 Undergraduate Module Catalogue

LUBS1195 Introductory Modelling for Management (1)

10 Credits Class Size: 290

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

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2011/12

Pre-requisite qualifications

Pass in GCSE Mathematics at grade B or above.

Mutually Exclusive

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

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: <a href= " http://lubswww.leeds.ac.uk/undergraduate/index.php?id=64"target=_blank">Business School</a>

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) and
- Optimisation (profit maximisation).

Teaching Methods

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

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.

Exams
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

Reading List

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