Computer Simulation of Realistic Mathematical Models
Course
Online
Description
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Type
Course
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Level
Intermediate
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Methodology
Online
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Class hours
12h
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Duration
1 Year
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Online campus
Yes
The Computer Simulation of Realistic Mathematical Models course provides a comprehensive introduction to the principles and applications of mathematical modelling and simulation using modern computational techniques. Designed for learners seeking to understand how complex real-world systems can be represented, analysed, and predicted, this course bridges theoretical mathematics with practical simulation methods.
You will explore how mathematical models are constructed to represent physical, biological, economic, and engineering systems, and how computer simulations are used to test scenarios, analyse behaviour, and support decision-making. The course covers core concepts such as model formulation, parameter estimation, numerical methods, simulation accuracy, and result interpretation.
With a strong focus on clarity and real-world relevance, this CPD course helps learners develop analytical thinking, problem-solving abilities, and confidence in working with data-driven models. Whether you are looking to strengthen your professional skill set or expand your understanding of applied mathematics, this course offers valuable insight into simulation techniques widely used across research, industry, and technology sectors.
Important information
Price for Emagister users:
About this course
Understand the fundamentals of mathematical modelling
Learn how computer simulations represent real-world systems
Apply numerical methods to solve model-based problems
Analyse and interpret simulation results effectively
Improve analytical and problem-solving skills
Gain confidence in working with computational models
This course is intended for learners who are interested in applied mathematics, computer simulation, and data-driven analysis. It is suitable for students, early-career professionals, and those already working in technical or analytical roles who wish to expand their understanding of mathematical models and simulation techniques. Individuals pursuing careers in engineering, data science, economics, research, education, or technology-related fields will find the course particularly relevant.
The course is also ideal for professionals seeking CPD certification to enhance their CV and demonstrate ongoing skills development. No specialist background is required, making it accessible to motivated learners who want to build practical knowledge in mathematical modelling and simulation at their own pace.
There are no formal entry requirements for this course, making it accessible to a wide range of learners. It is suitable for individuals aged 16 and above who have an interest in mathematics, computing, or analytical problem-solving. A good standard of English is recommended to understand the course materials effectively. Basic numeracy skills and general IT competence, such as using a computer and navigating online learning platforms, will support successful study and progression throughout the course.
Upon successful completion of the Computer Simulation of Realistic Mathematical Models, you will qualify for a UK and internationally recognised professional certification. You may also choose to formalise your achievement by obtaining your PDF Certificate for £9 or a Hardcopy Certificate for £15.
This course offers flexible, self-paced learning designed to fit around personal and professional commitments. The content has been structured by subject specialists to ensure clarity, relevance, and academic integrity. Learners benefit from well-organised modules that focus on practical understanding and transferable skills applicable across multiple industries. The course emphasises analytical thinking and simulation knowledge that can strengthen professional profiles and support career development. As a CPD-accredited programme, it demonstrates commitment to continuous learning and provides skills that enhance employability and professional credibility.
The course is designed to be accessible to learners with varying levels of experience. Concepts are introduced clearly and progressively, allowing beginners to build understanding step by step. While an interest in mathematics and logical thinking is helpful, no advanced prior knowledge is required. Learners can revisit materials as needed, making it suitable for both newcomers and those refreshing existing skills.
Knowledge of computer simulation and mathematical modelling is highly valued across sectors such as engineering, data analysis, research, finance, and technology. Completing this course can strengthen your analytical skill set, support career progression, and enhance your CV with a recognised CPD certification. It also demonstrates commitment to professional development and problem-solving capability.
The course is delivered entirely online through a structured learning platform. You can study at your own pace, accessing materials at times that suit your schedule. This flexible approach allows you to balance learning with work or personal commitments while progressing steadily towards completion and certification.
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This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 7 years
Subjects
- Mathematics
- Computational
- GCSE Mathematics
- Simulation
- Engineering
Teachers and trainers (1)
One Education
Course Provider
Course programme
Computer simulation of realistic mathematical models focuses on using computational tools to represent, analyze, and predict the behavior of real-world systems that are too complex for purely analytical solutions. It involves building mathematical models based on physical, biological, economic, or engineering principles, translating them into algorithms, and running simulations to study system dynamics under various conditions. These simulations help visualize outcomes, test assumptions, optimize designs, and support decision-making by allowing experiments to be performed virtually, saving time, cost, and risk compared to real-world experimentation.
Course Curriculum
- Section 01: Introduction
- Section 02: Prey-Predator Model
- Section 03: Constructing the Model with Open-Source Software
- Section 04: Evolution of Epidemics
Computer Simulation of Realistic Mathematical Models
