
Explore embedded systems introduction: dedicated, special‑purpose computers embedded in mechanical products under constraints. Grasp system thinking and architectures with practical applications from parking meters to automotive and smart devices.
Explore real life embedded applications across consumer devices and infrastructure, including alarm clocks, parking meters, robotic vacuums, smartwatches, home appliances, security systems, GPS devices, pacemakers, and automotive controls.
Explore the MATLAB environment, its numerical, symbolic, and graphic computing capabilities, automatic array handling, and rapid development of applications using commands, matrices, and functions.
Use MATLAB for embedded product development to rapidly prototype, modify functionality, and verify inputs and outputs against standards and performance targets.
Explores adaptive echo cancellation systems based on the G.168 (2000) standard, and analyzes signal processing, parameter estimation, and robust detection of stationary and periodic signals.
Learn efficient MATLAB programming through memory management, vectorization, and indexing techniques. Optimize for loops and data transfer between MATLAB and C to boost speed.
Learn MATLAB graphics commands to create and shade areas, generate meshes, manage 2d and 3d plots, and adjust axis and color properties, including using control maps.
Explore creating graphical user interfaces in Matlab, using figures and graphical objects like pushbuttons, callbacks, and properties within a Matlab GUI environment to build interactive applications.
Learn MATLAB GUI creation for embedded systems by building graphical user interfaces with buttons and displays that perform numeric calculations and illustrate a state-based program structure.
Explore MATLAB GUI creation to build and visualize sampling and upsampling of signals, compare continuous and discrete values, and apply MATLAB functions for noise reduction and signal analysis.
Explore MATLAB guide for creating graphical user interfaces with components such as push buttons, menus, and panels, using templates, callbacks, and property inspector to design, program, and test apps.
Explore MATLAB guide part 2 by building graphical user interfaces with push buttons, list boxes, checkboxes, and callbacks; learn component properties, data objects, and responsive UI behavior.
Explore MATLAB guide part 3 to design an embedded system prototype, build templates and user interfaces, wire graphics to context, and manage decision prompts and CapEx data.
Explore MATLAB guide part 4 by setting up symbolic examples, creating and manipulating graphical objects, and accessing and altering object properties to visualize data and simulations.
Explore MATLAB guide fundamentals, including graphical object hierarchies, parent-child relationships, properties, and interactive controls like pushbuttons and listboxes.
Explore MATLAB guide part 6, focusing on event-driven callbacks, component properties, and state-based actions. Learn testing, data access, and serialization practices for robust embedded system programming.
Explore fixed point arithmetic concepts in MATLAB through simulations, translating between fractional numbers and binary point representations, and comparing numeric operations across assembly and higher-level languages.
Explore fixed point arithmetic concepts for embedded systems, compare with floating point, examine binary point placement, exponent handling, and impact on signal-to-noise ratio and dynamic range for portable DSP.
A warm welcome to the Embedded Systems Engineering & MATLAB Programming course by Uplatz.
The course provides an introduction to the Embedded Systems and then moves on to provide detailed practical oriented MATLAB training. In this Embedded Systems and MATLAB course, you will learn Embedded Product Development with MATLAB along with MATLAB programming, graphics commands, GUI creation, MATLAB GUIDE. This MATLAB training will also provide you an end-to-end coverage of Simulink and Fixed Point Arithmetic with a practical demonstration of Simulink.
In this Embedded Engineering course you will learn about G.168 system in detail, its implementation in MATLAB, as well as G.168 testing. You will also understand clearly the difference between Embedded Firmware Engineer, Embedded Firmware Developer, Embedded Firmware Test Engineer, Embedded Software Engineer, Embedded Software Developer, Embedded Software Test Engineer, Embedded Systems Engineer, Embedded Hardware Engineer, Embedded Hardware Test Engineer, Embedded Hardware Design Engineer. This Embedded Systems & Engineering training will provide you an opportunity to learn about the skills required to be any one of the Embedded engineers and hence will give you direction on how to become an Embedded engineer or test engineer, or any of the titles mentioned above.
You will acquire knowledge on Embedded Hardware Development and its complexities through this Embedded Systems, Engineering, and MATLAB course.
An Embedded system is a controller, which controls many other electronic devices. It is a combination of embedded hardware and software. An Embedded System is an integrated system which is formed as an combination of computer hardware and software for a specific function. It can be said as a dedicated computer system which has been developed for some particular reason. Embedded systems work independently or are attached to a larger system to work on few specific functions. These embedded systems can work without human intervention or with a little human intervention.
There are two types of embedded systems microprocessors and micro-controller. Getting to market with in-demand IoT applications requires embedded systems designed for rapid development, flexibility and scale, along with a complement of devices, tools, documentation and support.
MATLAB is a high-performance language for technical computing. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. MATLAB (short for matrix laboratory) is a multi-paradigm numerical computing environment and proprietary programming language developed by MathWorks, a leading developer of mathematical computing software for engineers and scientists. Intended primarily for numerical computing, MATLAB is a programming environment for algorithm development, data analysis, visualization and numeric computation.
Some of the key areas where MATLAB is used:
Math and computation
Algorithm development
Modeling, simulation, and prototyping
Data analysis, exploration, and visualization
Scientific and engineering graphics
Application development, including Graphical User Interface building
System vs. Embedded System
Basically a system is a set of interrelated parts/components which are designed/developed to perform a common tasks or to do some specific work for which it has been created. Thus a system is an arrangement in which all its unit assemble work together according to a set of rules. It can also be defined as a way of working, organizing or doing one or many tasks according to a fixed plan.
Embedded means something that is attached to another thing. An embedded system can be thought of as a computer hardware system having software embedded in it. An embedded system is a microcontroller or microprocessor based system which is designed to perform a specific task. For example, a fire alarm is an embedded system; it will sense only smoke.
Main components of Embedded systems are -
Hardware (hard-wired components)
Software (application software)
Firmware or Real Time Operating system (RTOS) that supervises the application software and provide mechanism to let the processor run a process as per scheduling by following a plan to control the latencies.
Examples of embedded systems are -
Digital watches
Washing Machine
Toys
Televisions
Digital phones
Laser Printer
Cameras
Industrial machines
Electronic Calculators
Automobiles
Medical Equipment
Engineers and scientists across the globe use MATLAB to analyze and design systems and products currently transforming our world. The programming language is found in automobile active safety systems, interplanetary spacecraft, health monitoring devices, smart power grids and LTE cellular networks. The platform is optimized for machine learning, signal processing, image processing, computer vision, communications, computational finance, control design, robotics and other mathematical operations.
Embedded Systems and MATLAB - Course Syllabus
Embedded Systems Introduction
Real Life Embedded Applications
MATLAB Introduction
Embedded Product Development with MATLAB
G.168 (2000)
Efficient MATLAB Programming
MATLAB Graphics Commands
MATLAB GUI Creation
MATLAB Guide
Introduction to Simulink
Fixed Point Arithmetic
Introduction to Simulink
Simulink deep-dive
Pulse Oximeter using Simulink
Efficient MATLAB
S Function
Special Plots
MATLAB Coding Guidelines
G.168 in Nutshell
G.168 Implementation in MATLAB
Test G.168
Embedded Firmware Engineer
Embedded Firmware Developer
Embedded Firmware Test Engineer
Embedded Software Engineer
Embedded Software Developer
Embedded Software Test Engineer
Embedded Systems Engineer
Embedded Hardware Engineer
Embedded Hardware Development
Embedded Hardware Test Engineer
Embedded Hardware Design Engineer
Legacy Embedded Systems
Embedded Systems Paradigm Shift
Embedded Portfolio
Embedded System Design Flow