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BUSI4ZX15: ADVANCED BUSINESS MODELLING (EBS)

It is possible that changes to modules or programmes might need to be made during the academic year, in response to the impact of Covid-19 and/or any further changes in public health advice.

Type Tied
Level 4
Credits 15
Availability Not available in 2024/2025
Module Cap
Location Durham
Department Management and Marketing

Prerequisites

  • None.

Corequisites

  • None.

Excluded Combinations of Modules

  • None.

Aims

  • To provide students with an advanced understanding of and ability to use some of the methods commonly used in solving complex business problems of the type which may be formulated (at least in part) as quantitative models

Content

  • Overview of systems concepts and model building.
  • Further optimisation (building on core teaching).
  • Simulation.
  • Game theory
  • Forecasting using time series and behavioural models.

Learning Outcomes

Subject-specific Knowledge:

  • By the end of this module, students should:
  • Have an advanced knowledge of the structures and requirements of some models commonly used for optimisation, forecasting and other tasks within the business context.
  • Be familiar with selected specialist software applications.

Subject-specific Skills:

  • By the end of this module, students should:
  • be able to formulate and solve complex business problems and then interpret the solutions to improve business performance;
  • be able to use selected specialist software applications.

Key Skills:

  • Effective written communication.
  • Planning, organising and time management.
  • Problem solving and analysis.
  • Using initiative.
  • Advanced computer literacy skills.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • Learning outcomes will be met through a combination of lectures, groupwork, case studies, practical (computing) classes and discussion, supported by guided reading. The summative assignment will test students' knowledge and understanding of business models and their ability to apply relevant techniques to the analysis of a business problem.

Teaching Methods and Learning Hours

ActivityNumberFrequencyDurationTotalMonitored
Workshops (a combination of lectures, groupwork, case studies, practical (computing) classes and discussion)28Yes
Preparation and Reading122 
Total150 

Summative Assessment

Component: Written AssignmentComponent Weighting: 100%
ElementLength / DurationElement WeightingResit Opportunity
Written Assignment4,000 words maximum100 

Formative Assessment

Feedback on contributions to workshops and class discussions.

More information

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Prospective Students: If you have a query about a specific module or degree programme, please Ask Us.

Current Students: Please contact your department.