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Systems Modelling and Simulation
University of Galway - Direct Enroll Program
Galway, Ireland
Dates: 8/31/26 - 12/19/26
Systems Modelling and Simulation
OVERVIEW
CEA CAPA Partner Institution: University of Galway
Location: Galway, Ireland
Primary Subject Area: Computer Information Systems
Instruction in: English
Course Code: CT561
Transcript Source: Partner Institution
Course Details: Level 400
Recommended Semester Credits: 2.5
Contact Hours: 36
DESCRIPTION
Simulation is a quantitative method used to support decision making and predicting system behaviour over time. This course focuses the system dynamics approach. The course covers the fundamentals of simulation, and describes how to design and build mathematical models. Case studies used include: software project management, public health policy planning, and capacity planning.
Learning Outcomes
1.Define the aim of Simulation and its role in the decision making process for complex systems
2.Distinguish between the two feedback types: positive and negative
3.Demonstrate how to apply the system dynamics approach to areas including public health, software engineering management and capacity planning.
4.Explain and apply numerical integration methods to solve simulation problems.
5.Given a simulation problem, formulate a model, test the structure and equations, and perform detailed sensitivity analysis on the impact of a range of policy options
6.Build, test and evaluate models using Vensim and R.
7.Appreciate the diiferences between continuous, discrete event and agent-based simulation
Learning Outcomes
1.Define the aim of Simulation and its role in the decision making process for complex systems
2.Distinguish between the two feedback types: positive and negative
3.Demonstrate how to apply the system dynamics approach to areas including public health, software engineering management and capacity planning.
4.Explain and apply numerical integration methods to solve simulation problems.
5.Given a simulation problem, formulate a model, test the structure and equations, and perform detailed sensitivity analysis on the impact of a range of policy options
6.Build, test and evaluate models using Vensim and R.
7.Appreciate the diiferences between continuous, discrete event and agent-based simulation