Udemy – Embedded System Design using UML State Machines 2021-12 – Full Version

Description

Embedded System Design using UML State Machines is a training course on designing and implementing event-driven systems with a UML state machine approach, published by Udemy Academy. In this course, you will familiarize yourself step by step with the principles and basics of machines in hierarchical and simple UML mode and you will acquire valuable skills. The ultimate goal of this course is to introduce a paradigm and approach to event-driven programming and development that uses simple, hierarchical UML machines. The training process of this course is fully project oriented and you are expected to be able to solve challenges in the area of ​​latent systems with state machine techniques after the course is completed.

What you will learn in designing embedded systems using UML state machines

  • Event programming model
  • Hierarchical state machines
  • Flat state machine
  • Machine in UMAL mode
  • Draw a state table
  • Convert UML state diagrams to executable and C and C++ code
  • Action Object Design Approach
  • Different strategies for designing and implementing car modes
  • State transition table
  • State-Handler approach for implementing machine scenarios
  • Using Function Pointers in C Programming
  • Graphical and graphical modeling of latent event systems with the UML modeling tool statecharts
  • Unified modeling language

Course specifications

Editor: Udemy
Instructors: FastBit Integrated Brain Academy and Kiran Nayak
French language
Level: Introductory to Advanced
Number of lessons: 87
Duration: 10 hours and 43 minutes

Course topics on 2022/2

Design of embedded systems using UML state machines

Designing Embedded Systems Using UML State Machines

Basics of ‘C’ or ‘C++’ programming

Pictures

Design of embedded systems using UML state machines

Designing Embedded Systems Using UML State Machines Intro Video

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english subtitle

Quality: 720p

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Download part 1 – 2 GB

Download part 2 – 2 GB

Download part 3 – 2 GB

Download part 4 – 423 MB

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