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Systems Simulation and Modelling Fundamentals Level 3
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Summary

Price
£19.99 inc VAT
Study method
Online, On Demand 
Duration
1.4 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed Courses Certificate of Completion - Free
Assessment details
  • Final Exam (included in price)
Additional info
  • Tutor is available to students

Overview

Systems Simulation and Modelling Fundamentals Level 3 is designed for learners who want to develop a structured understanding of how complex systems can be represented, analysed, and explored using simulation and modelling techniques. This course introduces Systems Simulation as a powerful analytical approach used to support understanding, planning, and decision-making across a wide range of industries.

Learners explore how systems are defined, how models are constructed, and how simulation helps examine system behaviour over time. The course explains why Systems Simulation is widely used in fields such as manufacturing, healthcare, finance, environmental analysis, and project management to test scenarios safely and efficiently.

Throughout Systems Simulation and Modelling Fundamentals Level 3, emphasis is placed on conceptual understanding, logical thinking, and analytical reasoning. Learners gain insight into mathematical foundations, system dynamics, agent-based modelling, and optimisation techniques, while remaining within an educational and non-consultative context.

Rather than training learners to deliver professional modelling services, this Systems Simulation course builds foundational knowledge and academic awareness. It supports learners preparing for further study, technical roles, or analytical support positions where understanding system behaviour and simulation concepts is valuable.

Certificates

Assessment details

Final Exam

Included in course price

Curriculum

8
sections
32
lectures
1h 27m
total
    • 1: Disclaimer 01:00
    • 2: Lesson-1 Understanding the Basics of Systems 02:00
    • 3: Lesson-2 Types of Systems 03:00
    • 4: Lesson-3 Importance of Simulation in Decision-Making 03:00
    • 5: Lesson-4 Simulation Software Tools 03:00
    • 6: Lesson-5 Hands-on Simulation Exercises 02:00
    • 7: Lesson-1 Probability and Statistics for Simulation 03:00
    • 8: Lesson-2 Differential Equations and Their Applications 03:00
    • 9: Lesson-3 Discrete-Event Simulation 02:00
    • 10: Lesson-4 Monte Carlo Simulation 03:00
    • 11: Lesson-5 Case Studies and Practical Modeling 02:00
    • 12: Lesson-1 Principles of System Dynamics 03:00
    • 13: Lesson-2 Causal Loop Diagrams 03:00
    • 14: Lesson-3 Stock and Flow Diagrams 03:00
    • 15: Lesson-4 Feedback Loops 03:00
    • 16: Lesson-5 Modeling Real-World Systems 02:00
    • 17: Lesson-1 Introduction to Agent-Based Modeling 02:00
    • 18: Lesson-2 Agents, Environment, and Interactions 02:00
    • 19: Lesson-3 Agent-Based Modeling Tools 02:00
    • 20: Lesson-4 Applications in Various Industries 02:00
    • 21: Lesson-5 Building and Simulating Agent-Based Models 03:00
    • 22: Lesson-1 Optimization Techniques 03:00
    • 23: Lesson-2 Response Surface Methodology 03:00
    • 24: Lesson-3 Genetic Algorithms 03:00
    • 25: Lesson-4 Simulated Annealing 03:00
    • 26: Lesson-5 Applications and Case Studies 02:00
    • 27: Lesson-1 Discrete-Event Simulation for Manufacturing 03:00
    • 28: Lesson-2 Healthcare Simulation 02:00
    • 29: Lesson-3 Environmental Modeling and Simulation 02:00
    • 30: Lesson-4 Financial Modeling and Risk Analysis 02:00
    • 31: Lesson-5 Project Management Simulation 02:00
    • 32: Final Exam 10:00

Description

The Systems Simulation and Modelling Fundamentals Level 3 course consists of six structured lectures, followed by an assessment, each designed to build understanding progressively from core principles to applied simulation concepts.

Lecture 1 introduces Systems Simulation by exploring the basics of systems, different system types, and the role of simulation in decision-making. Learners examine commonly used simulation software tools and engage with hands-on simulation exercises at an introductory level.

Lecture 2 focuses on mathematical foundations for modelling. Learners explore probability and statistics for simulation, differential equations and their applications, discrete-event simulation, Monte Carlo simulation, and case studies that demonstrate practical modelling approaches.

Lecture 3 introduces system dynamics. Learners explore principles of system dynamics, causal loop diagrams, stock and flow diagrams, feedback loops, and methods for modelling real-world systems conceptually.

Lecture 4 examines agent-based modelling. Learners explore the structure of agent-based models, the role of agents and environments, modelling tools, applications across industries, and the process of building and simulating agent-based systems.

Lecture 5 focuses on simulation optimisation. Learners explore optimisation techniques, response surface methodology, genetic algorithms, simulated annealing, and real-world case studies where optimisation improves system performance.

Lecture 6 explores advanced topics in simulation. Learners examine applications of Systems Simulation in manufacturing, healthcare, environmental modelling, financial risk analysis, and project management, developing awareness of how simulation supports complex system analysis.

Certification

Upon successful completion of the Systems Simulation and Modelling Fundamentals Level 3 course, learners receive a free digital certificate provided by Reed confirming course completion. After obtaining the Reed certificate, learners also receive a provider-issued course completion certificate, subject to verification of the Reed certificate. Learners may additionally choose to order a premium certificate and academic transcript, available in both hardcopy and softcopy formats, based on individual needs, for an additional cost. This course supports academic progression, analytical development, and structured learning in Systems Simulation.

Who is this course for?

This Systems Simulation course is suitable for learners interested in systems thinking, data analysis, operations research, engineering support, or decision-support roles. It is ideal for students, analysts, technical administrators, project support staff, or individuals preparing for further study in systems modelling, engineering, data science, or operations management.

Requirements

No prior experience or formal qualifications in Systems Simulation are required. Learners should have a basic to good standard of English, access to the internet, and a computer, tablet, or smartphone. Completion of the assessment is required to successfully finish the Systems Simulation and Modelling Fundamentals Level 3 course.

Career path

This Systems Simulation course can support progression into analytical support roles, operations planning assistance, modelling support positions, research assistance, or further academic study related to Systems Simulation, engineering analysis, data modelling, or operations research.

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FAQs

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