Certificate in Cyber-Physical Systems and Digital Twins: Modeling, Networks, and Intelligent Infrastructure
Course provided by Model Institute of Engineering & Technology
16 modules
Master quantum computing while exploring cutting-edge applications.
6 Level NCrF
National Credit Framework
300 Hours
Flexible Learning
Beginner Level
No prior experience required
Certificate Course
10 Credit
Course Overview
This course blends cyber-physical modeling, IIoT integration, and digital twin simulation to design and visualize intelligent infrastructure systems such as energy, water, and mobility networks. Using tools like MATLAB/Simulink, Unity Reflect, and Azure Digital Twins, learners gain hands-on experience in hybrid system modeling, real-time data integration, and predictive control for enhanced safety and efficiency.
Key Learning Highlights
Understand CPS architecture, embedded control, state machines, and hybrid behaviors.
Model and simulate physical and cyber components using MATLAB/Simulink.
Build digital twins with Unity Reflect and Azure Digital Twins for real-time monitoring.
Explore IIoT systems and their integration with manufacturing and smart infrastructure.
Analyze the future of digital manufacturing, including additive processes and data-driven optimization.
Tools & Platforms Used
Learning Outcome
By the end of this course, students will be able to:
Model CPS systems using finite state machines and physical process simulators.
Simulate control loops and hybrid behaviors with MATLAB/Simulink.
Design and deploy real-time digital twins using Unity Reflect and Azure Digital Twins.
Understand IIoT architecture and integrate data from embedded devices.
Prototype and visualize smart infrastructure with real sensor data and cloud dashboards.
Master the course with just 16 Modules
This program introduces CPS modeling, hybrid systems, and digital control using MATLAB/Simulink. Learners explore IIoT applications, digital twin design with Unity and Azure, and additive manufacturing integration. The capstone focuses on developing and deploying a real-world CPS and digital twin solution.
Module 1
Introduction to CPS – structure, applications, real-world examples.
Module 2
Modeling physical processes using ODEs in MATLAB/Simulink.
Module 3
Digital control modeling – finite state machines, synchronous models.
Module 4
Hybrid systems – interaction between continuous and discrete-time dynamics.
Module 5
Interfaces and converters – ADCs, DACs, cyber-to-physical communication.
Module 6
Timing and scheduling in CPS; effect of network delays, clocks, and system constraints.
Module 7
Basics of IIoT – architecture, protocols, sensors/actuators, case studies.
Module 8
IIoT applications in manufacturing – business considerations, challenges, and opportunities.
Module 9
Digital Twin fundamentals – platform, ecosystem, and architecture.
Module 10
Implementing Digital Twins in manufacturing – value, risks, and real-world examples.
Module 11
Digital Threads and future trends in Digital Twins.
Module 12
Additive Manufacturing fundamentals – technologies, materials, workflows.
Module 13
Industrial applications and business cases for Additive Manufacturing.
Module 14
Project scoping and requirement analysis.
Module 15
Implementation – integrating CPS Lab hardware, IIoT platform, and Digital Twin software.
Module 16
Testing, optimization, and final presentation.
Roles
Simulation Engineer / CPS Integrator
