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Since April 2021
Instructor since April 2021
Automotive Communication protocols (CAN/LIN) from Engineering perspective
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From 54.01 $ /h
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Course Description: CAN/LIN Protocols in Embedded Systems

Course Title: Embedded Systems Communication: CAN/LIN Protocols

Course Overview:
The "Embedded Systems Communication: CAN/LIN Protocols" course is designed to provide students with a comprehensive understanding of the Controller Area Network (CAN) and Local Interconnect Network (LIN) protocols used in embedded systems. The course aims to equip students with the necessary knowledge and skills to design, implement, and troubleshoot communication systems based on these protocols. Through a combination of theoretical lectures, hands-on lab exercises, and practical projects, students will gain a deep understanding of CAN/LIN protocols and their applications in various industries.

Course Objectives:
1. Understand the fundamental principles and concepts of CAN/LIN protocols.
2. Learn about the structure and architecture of CAN/LIN networks.
3. Explore the advantages, limitations, and trade-offs of using CAN/LIN in embedded systems.
4. Gain practical experience in designing and implementing CAN/LIN communication systems.
5. Develop skills in troubleshooting and debugging CAN/LIN networks.
6. Explore real-world applications of CAN/LIN protocols in automotive, industrial, and other embedded systems.
7. Understand the integration of CAN/LIN protocols with other communication interfaces.

Course Outline:

Module 1: Introduction to CAN/LIN Protocols
- Overview of embedded systems communication
- Evolution and history of CAN and LIN protocols
- Comparison of CAN and LIN with other communication protocols
- Application areas and industry standards

Module 2: CAN Protocol Fundamentals
- CAN bus architecture and components
- Physical and data link layers of the CAN protocol
- Message formats, identifiers, and addressing
- Error detection and fault tolerance mechanisms
- CAN protocol timing and synchronization

Module 3: LIN Protocol Fundamentals
- LIN network topology and components
- LIN frame structure and message types
- Master-slave communication and scheduling
- LIN protocol configuration and initialization
- Fault detection and handling in LIN networks

Module 4: CAN/LIN Network Design and Implementation
- Hardware requirements for CAN/LIN communication
- CAN/LIN transceivers and controllers
- Network topology and node addressing
- Bus arbitration and message prioritization
- Software development for CAN/LIN systems

Module 5: CAN/LIN Network Diagnostics and Troubleshooting
- CAN/LIN network analysis tools and techniques
- Error detection, fault localization, and error recovery
- Diagnostic trouble codes and error reporting
- Strategies for debugging and optimizing CAN/LIN systems

Module 6: Applications of CAN/LIN Protocols
- CAN/LIN in automotive systems: vehicle networks, diagnostics, and control systems
- CAN/LIN in industrial automation: process control, sensors, and actuators
- CAN/LIN in consumer electronics and home automation
- Integration of CAN/LIN with other communication interfaces (e.g., Ethernet, SPI, I2C)

Module 7: Project Work
- Hands-on projects involving the design and implementation of CAN/LIN communication systems
- Real-world case studies and application development
- Team-based projects to apply the acquired knowledge and skills

Prerequisites:
- Basic knowledge of embedded systems and microcontroller programming
- Understanding of digital electronics and computer architecture
- Familiarity with C or C++ programming language
- Passionate about the automotive field

Assessment Methods:
- Quizzes and exams to assess theoretical knowledge
- Assignments to evaluate practical implementation skills
- Project work and presentations to assess application and problem-solving abilities

By the end of this course, students will have a solid foundation in the theory, implementation, and troubleshooting of CAN/LIN protocols in embedded systems. They will be prepared to work on projects and develop communication systems based on CAN/LIN, enabling them to contribute to various industries where embedded systems play a crucial role.
Extra information
Laptop is optional
Location
location type icon
Online from Morocco
About Me
State Engineer at Embedded Systems and Digital Services
Level :Bac +5
Spoken Languages: English - French - Arabic - Spanish (Beginner)
Happy to Make you Enjoy Learning and Improving your Skills ™️
Education
Engineering degree at Institut national des postes et télécommunications INPT Rabat,
Previously Studied in the preparation classes (CPGE)
Bac Sc Math A-Mention Very good
Experience / Qualifications
Working as Software Engineer in one of Companies Leader in Automotive Industry.
Worked As Campus Director for Hult Prize Foundation (2019)
Always Ready for New Challenges!
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
French
Arabic
Availability of a typical week
(GMT -05:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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- Architecture (systems, networks, protocols)
- Web (HTML/CSS/JS, Flask, client-server)
- Baccalaureate projects (subject 0, assessed mini-projects, clean code)
- Past papers & practice exams (2024/2025 step-by-step solutions) Objective: BAC NSI > 16/20 (written exam + project)
- Enhanced Parcoursup (specializations, engineering schools)
- Complete mastery of the program

Why me ?
100% interactive course: live coding, debugging...
Professional supports: algo sheets, Python/SQL templates, PDF reports
Flexible hours: evenings, weekends, holiday internships
At home (Cergy, Pontoise, Sarcelles – free within 15 km) or Zoom + screen sharing
Invoices issued

Limited places available (max 8 students). Contact me by message to schedule an appointment.
Respond quickly before the start of term! See you soon to ace your NSI exams!
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After an initial assessment, this course is designed to transform your child from a passive consumer of technology into an active, ethical AI creator.

Based on the personalized roadmap developed in the first session, the 5-week program delivers structured, project-based learning tailored to your child's cognitive strengths and interests, specifically addressing any learning barriers identified during the diagnostic phase.

What we achieve in 5 weeks:

Week 1-2: Foundations of Machine Learning & Critical Thinking: We move beyond definitions, using interactive projects to understand how AI learns (data, bias, pattern recognition). This builds critical thinking about the technology they use daily.

Week 3-4: Ethical Generative AI for Creativity: Students learn to master prompt engineering to create digital art, stories, or game concepts using generative AI tools. Safety and Ethics are paramount: we focus on responsible usage, digital citizenship, and copyright basics.

Week 5: The Final AI Creator Project: personalized mini-project (e.g., training a simple image classifier or writing a fully co-authored AI story) to demonstrate autonomy and mastery of the core concepts.

As your specialized 10+ year tech educator and coach, I ensure:

SEN Integration: Continuous adaptation of project requirements and delivery methods to ensure students with Special Educational Needs (SEN) maintain confidence and measurable progress.

Skill Transfer: We teach skills that translate directly to school projects, not just AI theory, but advanced digital literacy and structured problem-solving.
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FOR CODING LESSONS WE HAVE STRUCTURED PROGRAMS
CHILD - > MINECRAFT CODING-> SCRATCH -> APP INVENTOR -> ROBLOX -> PYTHON ( DEPEND ON CHILD AGE)
ADULT -> PYTHON -> ALGORITHMS - > C++ - > CERTAIN NICHE OF THEIR CHOOSING TO BECOME EXPERT (14+)
AND WE TEACH OLD AND YOUNG PEOPLE BASIC KNOWLEDGE ABT PCS AND SMARTPHONE
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This class is designed for beginners who want to start learning robotics in a simple and practical way.

Students will learn the basics of electronics, Arduino programming, sensors, motors, and how to build small real-world projects step by step. No advanced background is required.

The course focuses on hands-on learning: connecting components, writing Arduino code, understanding how robots work, and creating mini projects such as smart fans, automatic lights, and simple robots.

By the end of the class, students will understand how hardware and software work together and will be able to build their own basic robotic systems.

This class is suitable for students, hobbyists, and anyone interested in robotics and technology.
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