SIMULATION AND OPTIMISATION - 2023/4
Module code: MAN2187
Prescriptive analytics area such as optimisations and simulations will be introduced for decision making in a business environment. Several typical business scenarios will be analysed using Discrete Event Simulations. Optimisations will be used in a business context.
Surrey Business School
GIRALEAS Dimitris (SBS)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 5
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 117
Lecture Hours: 11
Laboratory Hours: 11
Captured Content: 11
Prerequisites / Co-requisites
The module content will focus on simulation and optimisation. Please find below an indicative set of topics.
Introduction to Systems and Systems Modelling
Optimisations using Linear and Integer Programming
Network Flow Optimisations
Optimal Transportation Models
Discrete Event Simulation (DES)
Agent Based Simulation
|Assessment type||Unit of assessment||Weighting|
|Project (Group/Individual/Dissertation)||Simulation group coursework||60|
|Examination Online||Optimisation 2-hour online exam||40|
An alternative to the group project is a defined individual project using a business problem with a specific description (750 words for the individual).
The assessment strategy is designed to provide students with the opportunity to demonstrate that they:
· appreciate methods that underpin Operational Research;
· use simulations to gain business insights;
· demonstrate abilities of finding optimal solutions for business opportunities.
The summative assessment for this module consists of
· Simulation group coursework (60%). Group coursework to assess Simulation elements.
Formative assessment and feedback
· Simulation and optimisation online exam (40%)
2-hour online examination.
Students will be given the opportunity to receive formative assessment and feedback relevant to the assignments.
Formative assessment relevant to the closed book exam may be provided on SurreyLearn discussion forums.
FeedbackThe exam and assignments will contain information of what topic areas the student knows well and not so well, and how
the student can further improve her/his performance.
The assignment feedback will be automated and provided via SurreyLearn on submission. The student is encouraged to
seek further feedback during the lab sessions or during feedback and consultation hours.
- Introduce students to key theories in modelling and simulation;
- Explore the main methods in Prescriptive Analytics with a focus on optimisations;
- Explore the use of simulations and optimisations in decision making.
|001||To design and formulate optimisation challenges solution||KCP|
|002||To compare and evaluate relevant analytical methods to improve business productivity||KCPT|
|003||To design and implement simulation models and explain their results||KCP|
|004||To effectively communicate and present results to stakeholders and decision makers||PT|
|005||To apply academic and business skills for writing professional reports.||KCPT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The learning and teaching strategy is designed to encourage critical understanding of the role played by analytics for
business decision making. Learning will be directed, supported and reinforced through a combination of lectures,
computer laboratory sessions, and online discussion groups, plus directed and self-directed study. The course may
include research-led elements and offers a mix of theoretical insights and case study material that will be delivered both
online and offline where appropriate.
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Upon accessing the reading list, please search for the module using the module code: MAN2187
Programmes this module appears in
|International Business Management (Dual degree with SII-DUFE) BSc (Hons)||2||Optional||A weighted aggregate mark of 40% is required to pass the module|
|Business Management (Business Analytics) BSc (Hons)||2||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|International Business Management BSc (Hons)||2||Optional||A weighted aggregate mark of 40% is required to pass the module|
|Business Management BSc (Hons)||2||Optional||A pass as determined by the relevant criteria is required to pass the module|
|Business Economics BSc (Hons)||2||Optional||A weighted aggregate mark of 40% is required to pass the module|
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2023/4 academic year.