Simul8 tutorial

The Advanced Simulation Methods module teaches a different technique, Discrete event simulation, DES which can be used for modelling where there is a service design aim, such as modelling patient flows through clinical pathways or capacity planning in a hospital. Lectures will be augmented by practical modelling sessions. Students will also be expected to undertake approximately hours of independent study, including preparation for tutorials, preparation for the assignment and oral examination, and further recommended reading. Disseminate results, defend the choices of model structure and data inputs by means of an interactive oral examination. Describe the limitations of simulation analyses 3.

Uploader: Ganos
Date Added: 8 October 2006
File Size: 31.94 Mb
Operating Systems: Windows NT/2000/XP/2003/2003/7/8/10 MacOS 10/X
Downloads: 50696
Price: Free* [*Free Regsitration Required]





The first part of the module focuses on developing such a resource-constrained simulation model, including a first introduction of how to use the simulation package Simul8.

In such cases, the pattern of arrival times and capacity constraints are important factors when evaluating alternative options for change. The prior 'Cost-Effectiveness for HTA' module in the Autumn semester teaches markov modelling and decision-tree modelling methods. Define, formulate, construct and resolve simulation models of complex systems within Simul8 2.

Students will also be expected to undertake approximately hours of independent study, including preparation for tutorials, preparation for the assignment and oral examination, and further recommended reading.

The module will be delivered predominantly through a series of 10 x 2 hours taught lectures.

Beginner’s Tutorial | SIMUL8 Support Portal

These learning and teaching methods will reinforce learning outcomes and provide practical experience of applying some concepts. Constructing an executable Simul8 model to simulate a complex problem tktorial.

The oral examination will be 20 minutes duration. The methods outlined in this module will be transferable siul8 decision problems in settings other than healthcare. This module provides an in-depth review of simulation rationale, techniques and methodologies with a particular focus on discrete event simulation and their practical application to inform healthcare decision making.

A written report of a maximum of words providing the rationale for the modelling approach, the conclusions reached and a discussion on the robustness of these results.

Tutorial sessions and interaction within the 10 lectures will allow the candidate to discuss the modelling techniques used, the selection of input parameters, the simul and the ultimate conclusions that can be drawn from the modelled results.

An interactive oral examination - this will allow the student to discuss and demonstrate how revised or new information relating to the problem could be modelled and how these are likely to affect the conclusions that were reached within the original report.

Postgraduate taught programmes

The Advanced Simulation Methods module teaches a different technique, Discrete event simulation, DES which can be used for modelling where there is a service design aim, such as modelling patient flows through clinical pathways or capacity planning in a hospital.

Disseminate results, defend the choices of model structure and data inputs by means of an interactive oral examination.

Key themes, both in learning and application within a model will include modelling complex systems, verification of the model, interpreting the output and approaches for minimising model run time. These will be supported by the use of tutorials 7 x 1 hour to consolidate concepts and skills learned within the lectures.

Lectures will be augmented by practical modelling sessions. Small assignments for formative assessment are set throughout the module and feedback will be given during tutorials; the feedback will not be documented. Interpret outputs from a simulation model 4.

Video Tutorials | SIMUL8 Support Portal

Describe the limitations of simulation analyses 3. Students will develop an individual-level cost-effectiveness model in Simul8, including the incorporation of discounting and probabilistic sensitivity analysis PSA. Lectures will introduce students to the key theory and methods, covering learning outcomes Independent study will primarily be self-directed.

From the fundamentals of a basic model the course will progress to modelling complex systems, verification, interpreting output and approaches for minimising model run time. An siimul8 project includes an assessment of a 7-day turn-around for the reporting of cervical screening results using discrete event simulation. The module will be both theoretically-based and practically-based with the use of the Simul8 software package.

The second part of the module focuses on the approaches for, and benefits of, using Simul8 to develop health economic models as an alternative to other approaches such as cohort Markov modelling. This module aims to produce students who will be able tutoriql undertake simulation projects to a professional level.

Students will be taught the different types and uses of uncertainty analyses.

1 thoughts on “Simul8 tutorial

Leave a Reply

Your email address will not be published. Required fields are marked *