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Modeling and Simulation | Developer Tech

Track :

Programming

Lessons no : 37

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What will you learn in this course?
  • Create accurate physical, mathematical, and logical models for complex systems and processes in engineering and technology contexts
  • Apply simulation techniques to analyze system behavior and predict performance in real-world scenarios
  • Utilize modeling tools and software to develop detailed simulations for technical decision-making and problem-solving
  • Interpret simulation data to optimize system design, efficiency, and operational outcomes
  • Design and implement models for engineering, manufacturing, and technological applications using industry-standard practices
  • Evaluate the accuracy and reliability of models and simulations through validation and verification methods
  • Integrate modeling and simulation results into technical reports and presentations for stakeholder communication
  • Develop scalable models to simulate large-scale systems in manufacturing, aerospace, and information technology sectors

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Lessons | 37
Simulink Online
00:02:57

Simulink Online
Multicore Embedded Design
00:05:00

Multicore Embedded Design
Managing Design Data in MATLAB and Simulink
00:05:50

Managing Design Data in MATLAB and Simulink
Data Dictionary Managing and Migrating Design Data
00:04:35

Data Dictionary Managing and Migrating Design Data
Using the Simulink Profiler to Understand Model Execution Time
00:02:08

Using the Simulink Profiler to Understand Model Execution Time
Simulink Lookup Tables
00:05:00

Simulink Lookup Tables
Accelerating MATLAB Application Development Using Stateflow
00:09:13

Accelerating MATLAB Application Development Using Stateflow
Activity Profiler in Stateflow
00:04:29

Activity Profiler in Stateflow
Detecting Modeling Clones
00:02:14

Detecting Modeling Clones
Protecting Intellectual Property When Sharing Models
00:03:32

Protecting Intellectual Property When Sharing Models
New Simulink Solvers for Hybrid Systems ode1be and odeN
00:05:32

New Simulink Solvers for Hybrid Systems ode1be and odeN
Using the C Caller Block to Call a C Function with a Global Variable Interface
00:04:17

Using the C Caller Block to Call a C Function with a Global Variable Interface
Using the C Function Block to Integrate Custom Code in Simulink
00:05:25

Using the C Function Block to Integrate Custom Code in Simulink
Allocating Architectures of a Tire Pressure Monitoring System in System Composer
00:04:29

Allocating Architectures of a Tire Pressure Monitoring System in System Composer
Variants in Stateflow
00:05:04

Variants in Stateflow
Event Scheduling with the Schedule Editor
00:05:08

Event Scheduling with the Schedule Editor
Simulink for Virtual Vehicle Development
00:03:38

Simulink for Virtual Vehicle Development
Keyboard Driven Workflows in the Simulink and Stateflow Editors
00:05:38

Keyboard Driven Workflows in the Simulink and Stateflow Editors
Configuration References
00:03:27

Configuration References
Multi Tool Integration Virtual Vehicle Simulation Example
00:03:05

Multi Tool Integration Virtual Vehicle Simulation Example
Using DDS Middleware with Simulink
00:11:34

Using DDS Middleware with Simulink
Component Based Modeling in Simulink
00:04:29

Component Based Modeling in Simulink
Data Free Parameter Pruning and Quantization
00:04:18

Data Free Parameter Pruning and Quantization
Scheduling for AUTOSAR Architecture Models in Simulink
00:04:46

Scheduling for AUTOSAR Architecture Models in Simulink
MATLAB Online Server – Host MATLAB Online on Your Infrastructure
00:04:06

MATLAB Online Server – Host MATLAB Online on Your Infrastructure
Approximate Functions with HDL Optimized Lookup Tables
00:03:24

Approximate Functions with HDL Optimized Lookup Tables
How to Import C Code into Simulink for Testing
00:08:23

How to Import C Code into Simulink for Testing
Performing Parametric Analysis with System Composer
00:02:45

Performing Parametric Analysis with System Composer
Using MATLAB with Python
00:04:49

Using MATLAB with Python
Prototype FPGA Design on Hardware from the MATLAB Command Line
00:05:31

Prototype FPGA Design on Hardware from the MATLAB Command Line
Enforce Constraints for PID Controllers
00:05:44

Enforce Constraints for PID Controllers
How to Build a Linux Executable from an AUTOSAR Adaptive Model in Simulink
00:06:04

How to Build a Linux Executable from an AUTOSAR Adaptive Model in Simulink
Defining AUTOSAR Component Interfaces
00:02:47

Defining AUTOSAR Component Interfaces
Automate Scheduling with the Schedule Editor API
00:01:56

Automate Scheduling with the Schedule Editor API
Improvements to Multiple Block and Line Editing
00:02:59

Improvements to Multiple Block and Line Editing
Search and Replace Text in Simulink Models Using Finder
00:03:49

Search and Replace Text in Simulink Models Using Finder
Speed Up Simulations Using SIMD Instructions
00:03:03

Speed Up Simulations Using SIMD Instructions


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rajiv kundala 

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2025-06-30

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2024-07-25

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Modeling and simulation (M&S) is the use of models (e.g., physical, mathematical, or logical representation of a system, entity, phenomenon, or process) as a basis for simulations to develop data utilized for managerial or technical decision making.