Embedded Systems State Machines & Data Structures from Udemy

Welcome to the Embedded Systems State Machines &Data Structures course.

This course is for anyone seeking to improve their embedded firmware development skills. The course focuses on the use of state machines and data structures to write quality firmware for embedded devices.

By the end of this course you will be able to build Finite State Machines for Embedded Applications, be able to build a Fixed Scheduler using Finite State Machines, be able to build a Traffic Light Control System using Finite State Machines. You will also master the Techniques for Effectively Implementing Data Structures on Embedded Devices.

What's inside

Learning objectives

Build finite state machines for embedded applications
Build a fixed scheduler using finite state machines
Build a traffic light control system using finite state machines
Master the techniques for effectively implementing data structures on embedded devices

Master the linkedlist data structure
Master the queue data structure
Master the stack data structure
Master the heap data structure

Build finite state machines for embedded applications
Build a fixed scheduler using finite state machines
Build a traffic light control system using finite state machines
Master the techniques for effectively implementing data structures on embedded devices
Master the linkedlist data structure
Master the queue data structure
Master the stack data structure
Master the heap data structure

Syllabus

Introduction

Coding : Developing a UART Driver for monitoring results

State Machines

Introduction to State Machines

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers state machines and data structures, which are essential for developing robust firmware for embedded devices, enhancing skills in a critical area

Teaches the implementation of data structures like LinkedList, Queue, Stack, and Heap, providing practical knowledge for efficient data management in embedded systems

Explores Moore and Mealy Finite State Machines, offering insights into designing complex systems like traffic light controllers and engine control systems

Includes coding exercises for developing peripheral drivers for sensor data collection, which is useful for real-world embedded applications

Requires Keil uVision 5, a professional IDE, which may necessitate a specific setup process and potentially a license depending on the project's scale

Focuses on developing a UART driver, which is a foundational skill for embedded systems but may be too basic for experienced engineers seeking advanced topics

Reviews summary

Embedded state machines and data structures

According to students, this course offers a strong foundation in embedded systems, emphasizing practical use of state machines and data structures. Learners found the hands-on coding exercises, like building a traffic light and drivers, highly valuable for firmware skills. It's best for those with some C experience but praised for clear explanations and well-structured modules. A minor point raised was that Keil uVision setup can be tricky. Overall, an effective resource for state-based design and data handling in embedded firmware.

Best for those with C language basics.

"Having prior knowledge of C pointers and basic syntax is definitely recommended for this course."

"As someone with a bit of C experience, the pace felt appropriate."

"Newcomers to C might find some parts challenging without supplementary learning."

Plenty of practical coding exercises.

"The coding examples and assignments are the course's strongest point; they are directly applicable."

"Developing the UART and sensor drivers helped bridge theory and practice."

"I learned by doing, thanks to the hands-on coding portions throughout the modules."

Deep dive into data structures for embedded C.

"Understanding how to implement linked lists and queues efficiently in C for embedded devices was a game-changer."

"The coverage of arrays, structures, and unions was solid, specifically for embedded firmware."

"I gained valuable insights into managing data effectively on resource-constrained microcontrollers."

Learn practical FSM design for embedded.

"The state machine section was incredibly useful for my embedded projects."

"Building the traffic light system using FSMs really helped cement the concepts."

"I appreciated the focus on applying state machines to real-world scenarios like schedulers and drivers."

Setup can be a bit challenging.

"Getting Keil uVision and the necessary packs installed correctly took me some time and troubleshooting."

"The initial toolchain setup steps could be explained in more detail, especially for beginners."

"Had some minor issues with the compiler configuration mentioned in the lessons."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Embedded Systems State Machines & Data Structures with these activities:

Review C Programming Fundamentals

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Solidify your understanding of C programming concepts, especially pointers and memory management, as they are crucial for embedded systems development and working with data structures.

Browse courses on C Programming

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Review basic C syntax and data types.
Practice pointer arithmetic and memory allocation.
Work through example C programs involving structures and arrays.

Create a State Machine Diagram for a Coffee Machine

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Visualize the behavior of a coffee machine using a state machine diagram to solidify your understanding of state machine concepts.

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Identify the different states of a coffee machine (e.g., idle, brewing, dispensing).
Define the transitions between states based on user input and sensor data.
Draw the state machine diagram using a diagramming tool or by hand.

Read 'Embedded Systems Architecture' by Tammy Noergaard

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Gain a deeper understanding of embedded systems architecture to better appreciate the role of state machines and data structures in firmware development.

View Embedded Systems Architecture: A Comprehensive... on Amazon

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Read the chapters related to embedded system components and memory organization.
Study the examples of different embedded system architectures.
Take notes on key concepts and terminology.

Four other activities

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Implement Data Structures in C

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Reinforce your understanding of data structures by implementing them in C, focusing on memory management and pointer manipulation.

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Implement a linked list with insertion, deletion, and search functions.
Implement a stack and a queue using arrays and linked lists.
Implement a binary search tree with insertion, deletion, and search functions.

Read 'Data Structures and Algorithm Analysis in C' by Mark Allen Weiss

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Deepen your understanding of data structures and their implementation in C, which is essential for efficient embedded systems programming.

View Data Structures and Algorithm Analysis in C++,... on Amazon

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Read the chapters related to linked lists, stacks, queues, and trees.
Study the C code examples for implementing different data structures.
Analyze the time and space complexity of different data structure operations.

Develop a Simple RTOS Task Scheduler

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Apply your knowledge of state machines and data structures to build a basic real-time operating system (RTOS) task scheduler.

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Design the task scheduler using a state machine.
Implement the task scheduler using a linked list to manage tasks.
Test the task scheduler with multiple tasks and priorities.

Contribute to an Open Source Embedded Project

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Gain practical experience by contributing to an open-source embedded systems project, applying your knowledge of state machines and data structures in a real-world context.

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Find an open-source embedded project on platforms like GitHub.
Identify a bug or feature to work on.
Submit a pull request with your changes.

Career center

Learners who complete Embedded Systems State Machines & Data Structures will develop knowledge and skills that may be useful to these careers:

Firmware Developer

A Firmware Developer creates the low-level software that directly controls hardware. This course emphasizes the use of state machines and data structures, which are essential for writing robust and efficient firmware. Through this course, you will learn to build finite state machines, as well as master techniques for implementing data structures on embedded devices. You will also learn to implement linked lists, queues, stacks, and heaps. The course's practical approach to building a traffic light control system using state machines provides concrete experience directly relevant to a firmware developer's daily tasks. Furthermore, you will develop peripheral drivers for sensor data collection.

See salaries and explore the career path for Firmware Developer

Embedded Software Engineer

An Embedded Software Engineer develops the software that runs on embedded systems. This course, with its focus on using state machines and data structures, directly prepares you for the challenges of writing firmware. The course teaches how to build finite state machines for embedded applications, including fixed schedulers and traffic light control systems, all of which are common in embedded software. Moreover, mastering data structure implementation techniques and specific structures like linked lists, queues, stacks, and heaps greatly enhance an engineer's versatility and effectiveness in resource constrained environments. The course directly addresses peripheral drivers for sensor data, which is ideal for those in this field.

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Robotics Software Engineer

A Robotics Software Engineer develops software for robots, which often includes embedded systems. The course's focus on state machines and data structures are crucial for creating predictable and reliable robot behavior. The course shows how to construct finite state machines for embedded applications and implement data structures effectively. Practical skills in fixed schedulers, traffic light control systems, and peripheral driver development all contribute to creating complete robotic control systems. Mastering data structures like linked lists, queues, stacks, and heaps enables a Robotics Software Engineer to manage data effectively within a robot's control system.

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Internet of Things Engineer

An Internet of Things Engineer designs and develops software for interconnected devices. The course's focus on embedded systems, state machines, and data structures directly applies to IoT development. This course helps you learn to build finite state machines for embedded applications and use these for essential tasks, such as creating a fixed scheduler. Furthermore, you can master the techniques for effectively implementing various data structures. Understanding sensor data collection through peripheral driver development is invaluable for IoT projects. The course's work with linked lists, queues, stack, and heaps will help you handle the data flows common in IoT systems.

See salaries and explore the career path for Internet of Things Engineer

Computer Engineer

A Computer Engineer works on both the hardware and software aspects of computer systems. An understanding of embedded systems, state machines, and data structures, as covered in this course, allows a computer engineer to better integrate the two. The course provides hands-on experience in building finite state machines for embedded applications, implementing data structures effectively. You will be able to build a fixed scheduler, build a traffic light control system, and master linked lists, queues, stacks, and heaps. The course's work with peripheral drivers for sensor data adds to the breadth of knowledge for those in this field.

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Automotive Embedded Systems Engineer

An Automotive Embedded Systems Engineer works on the software and systems within vehicles. This course's teachings on state machines are essential for managing the complexity of automotive control systems. Learning to build finite state machines for embedded applications and implement them as part of a fixed scheduler directly relates to the needs of an automotive engineer. Furthermore, familiarity with a traffic light system implementation provides a practical example. Finally, understanding how to manage data on embedded systems with linked lists, queues, stacks, and heaps helps to create reliable and efficient automotive system firmware.

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Control Systems Engineer

A Control Systems Engineer designs and implements systems that regulate the behavior of other systems. This course's work with finite state machines and data structures provides a strong foundation. You will learn to apply state machines for embedded applications and implement data structures effectively. You can also build a scheduler and implement a traffic light system, all of which are essential skills in this field. The course's details around data collection and sensor integration are useful in many control applications. The course's work with linked lists, queues, stacks, and heaps all help manage the data generated when controlling a system.

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Hardware Engineer

A Hardware Engineer designs and develops physical components of computer systems. While their primary focus is hardware, this course's focus on embedded systems, state machines, and data structures allows them to better interface with the software side of their work. Understanding how software interacts with hardware using finite state machines, for example, is essential. The course's focus on peripheral driver development provides insight into how hardware interfaces with software. Familiarity with data structures like linked lists, queues, stacks, and heaps will also help a hardware engineer to optimize the performance of the overall system.

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Technical Lead

A Technical Lead manages a team of engineers and guides the technical direction of projects. The course's focus on state machines and data structures may be beneficial to a technical lead. A technical lead may find it helpful to understand how to implement state machines and data structures effectively to guide their team. Familiarity with the practical techniques of developing a fixed scheduler, a traffic light control system, and an understanding of topics such as linked lists, queues, stacks, and heaps allows a technical lead to make more informed decisions. A background in peripheral drivers will further allow technical leads to understand the system as a whole.

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Software Architect

A Software Architect designs high level components of a system. While this course focuses on embedded systems it may be useful to a software architect, specifically those working with embedded software. This is because of the course's focus on the use of state machines and data structures to write quality firmware, which are directly relevant to software design at a lower level. For example a software architect may want to optimize the design to make use of the concepts found in this course's explanation of linked lists, queues, stacks, and heaps. The course also discusses building a fixed scheduler using state machines which will help improve their understanding of system design.

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Systems Engineer

A Systems Engineer designs and manages complex systems, often involving both hardware and software components. The course's focus on embedded systems, state machines, and data structures may be helpful in managing the complexities of integrated systems. The fact that this course covers building finite state machines, fixed schedulers, and implementing data structures will allow a systems engineer to better understand the challenges of designing specific components. Hands on experience with peripheral drivers and sensor data management also enhance their ability to design systems. The course may be particularly relevant for systems engineers working with embedded, real time, or safety critical systems.

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Test Engineer

A Test Engineer develops test plans and procedures to ensure software quality. Knowing how systems are built will make for a better understanding of how to test them. Therefore a Test Engineer may benefit from this course. The course's focus on state machines and data structures as well as the practical aspects of developing a traffic light system enables an engineer to better understand the interactions within a system. Understanding peripheral drivers and data structures such as linked lists, queues, stacks and heaps may also be useful for developing accurate test cases. While the course might not be directly applicable, it may be useful in developing a test engineers understanding of system internals.

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Software Developer

A Software Developer writes code for various applications, and while this course is focused on embedded systems, the knowledge of state machines and data structures may be helpful to any developer. The course’s coverage of finite state machines, linked lists, queues, stacks and heaps may be useful for a software developer. A software developer would benefit from the course’s coverage of how to implement data structures efficiently and the practical experience they provide. The course may be helpful, but the focus is on embedded systems.

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Applications Engineer

An Applications Engineer works closely with engineering teams, customers, and sales personnel. This role might benefit from a strong understanding of embedded systems and the specific challenges of data structures. The course emphasizes the use of state machines and data structures, which may be helpful context for discussions involving technical specifications and system integration. Topics such as fixed schedulers, traffic light systems, and the use of linked lists, queues, stacks, and heaps, may provide insight of the underlying technical challenges which could help Applications Engineers understand the needs of their clients. The course may help broaden the applications engineers technical background.

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Research Scientist

A Research Scientist may find the concepts in this course on embedded systems, state machines, and data structures useful. This is especially true if their research involves the development of custom hardware. Understanding how finite state machines and data structures are implemented can improve an understanding of software interacting with hardware. The course’s content on fixed schedulers, traffic light systems, and other topics such as linked lists, queues, stacks, and heaps may be useful for research involving complex systems. Additionally, the course's details on sensor data collection through peripheral driver development may be useful. While the course might not be a direct fit, it may be useful for research involving embedded systems.

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Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Embedded Systems State Machines & Data Structures.

Data Structures and Algorithm Analysis in C++,...

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Provides a comprehensive guide to data structures and algorithm analysis using the C programming language. It covers a wide range of data structures, including linked lists, stacks, queues, trees, and graphs. It valuable resource for understanding the implementation and performance characteristics of different data structures. This book is commonly used as a textbook in data structures courses.

Data Structures and Algorithm Analysis in C++,...

Paperback

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Data Structures and Algorithm Analysis in C++,...

Kindle Edition

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Embedded Systems Architecture

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Provides a comprehensive overview of embedded systems architecture, covering hardware and software aspects. It valuable resource for understanding the underlying principles of embedded systems design. It provides a broader context for the state machine and data structure concepts taught in the course. This book is commonly used as a textbook in embedded systems courses.

Embedded Systems Architecture: A Comprehensive...

Paperback

$$$$

Embedded Systems State Machines & Data Structures

What's inside

Learning objectives

Syllabus

Traffic lights

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Reviews summary

Embedded state machines and data structures

Activities

Career center

Reading list

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