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13 computers & electronics teachers in Croydon

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13 computers & electronics teachers in Croydon

Ayoub - Rabat, Morocco£40
£40Automotive Communication protocols (CAN/LIN) from Engineering perspective
Trusted teacher: 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.
Electronic circuits · Computer programming · Automotive engineering
Mehdi - Dijon, France£78
£78Engineer and teacher of mathematics offers courses in mathematics, computer science, digital sciences in video
I have been a telecommunications engineer and a mathematics teacher for 5 years in front of students, and 13 years in private lessons, with more than 100 students accompanied. What characterizes me above all is the passion for mathematics. I make you want to do mathematics, and I do my best so that the student discovers the magic of this discipline. My mathematical and scientific culture allows me to precisely identify the blocking points of the students and my experience of more than 13 years in teaching now offers me the opportunity to fully personalize my support. How does this actually happen? We organize a first meeting, during which you present your situation and your objectives to me. We then test your knowledge on a few scenarios. Then, I send you an individualized work plan, which we put in place during the sessions. The courses take place in video, and are focused on the practice of the exercises. I am attentive to the needs of the student and also enjoy discussing orientation and aspects related to the personal organization of work, having developed my own working methods myself. I am otherwise specialized in high potential in mathematics, having produced a dissertation on the subject. In recent years, I have in this capacity accompanied several students with atypical profiles (HPI, ADD, school phobia, etc.). Also, I will be happy to accompany them as well. Furthermore, I am able to teach in both English and French, to students of all ages.
Math · Computer science · Information technology
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Maiko - La Celle-sous-Gouzon, France£17
£17Introduction to Python Programming (algorithms, structures, abstractions)
Trusted teacher: <Course Description> This course is designed for beginners who are interested in learning programming with Python. It covers the basic concepts of programming such as data types, variables, control structures, functions, and file I/O. Participants will learn how to write Python programs, debug code, and design algorithms using Python. The course also introduces the basics of object-oriented programming and the Python libraries used for data manipulation and visualization. <Prerequisites> No prior programming experience is required. However, familiarity with basic computer concepts such as files, folders, and operating systems is recommended. <Learning Objectives> By the end of the course, participants will be able to: * Understand the fundamentals of programming and how it applies to Python * Write Python code for simple applications and automate repetitive tasks * Use control structures such as loops and conditional statements * Create functions to encapsulate code and enable code reuse * Work with Python libraries such as NumPy, Pandas, and Matplotlib * Use object-oriented programming principles to design more complex programs * Debug code and use error-handling techniques <Course Outline> The course is divided into modules that build on each other to provide a comprehensive introduction to Python programming. Each module consists of lectures, demonstrations, hands-on exercises, and quizzes to reinforce learning. Here is an outline of the course: Module 1: Introduction to Python History and Overview of Python Setting up Python environment Writing and running basic Python programs Variables, data types, and operators Module 2: Control Structures Conditional statements and Boolean logic Loops and iteration User input and output Module 3: Functions Writing and calling functions Scope and namespaces Return values and parameters Lambda functions Module 4: File Input and Output Reading and writing files File modes and buffering Handling exceptions and errors Module 5: Object-Oriented Programming Classes and objects Inheritance and polymorphism Data encapsulation and abstraction Special methods and decorators Module 6: Python Libraries Introduction to NumPy, Pandas, and Matplotlib Data manipulation and analysis with Pandas Data visualization with Matplotlib Conclusion This beginner's programming class in Python provides a solid foundation for anyone interested in learning programming and using Python for data analysis, automation, or software development. With hands-on exercises, interactive quizzes, and a comprehensive final project, participants will learn how to write Python code that is efficient, maintainable, and elegant.
Software engineering · Computer programming
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