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 provides participants with both foundational and applied knowledge in Cyber-Physical Systems (CPS) and Digital Twins. Learners will gain hands-on experience in modeling, simulating, and deploying CPS while exploring their role in modern intelligent infrastructure.
Key Learning Highlights
Understand CPS architecture, including embedded control, state machines, and hybrid behaviors.
Model and simulate physical and cyber components using MATLAB/Simulink.
Develop digital twins with Unity Reflect and Azure Digital Twins for real-time monitoring.
Explore Industrial IoT (IIoT) systems and their integration into manufacturing and smart infrastructure.
Analyze emerging trends in digital manufacturing, 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 using MATLAB/Simulink.
Design and deploy real-time digital twins with Unity Reflect and Azure Digital Twins.
Understand IIoT system architecture and integrate data from embedded devices.
Prototype and visualize smart infrastructure with real sensor data and cloud dashboards.
Master the course with just 11 Modules
The course covers CPS fundamentals, including modeling, hybrid systems, interfaces, and scheduling. It explores IIoT architecture and applications, Digital Twin concepts and implementation, and Additive Manufacturing technologies. A capstone project integrates CPS hardware, IIoT platforms, and Digital Twin software for real-world deployment and testing.
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
Module 4
Hybrid systems – interaction between continuous and discrete-time
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
