Capstone: Autonomous Runway Detection for IoT

EIT Digital via Coursera

Go to Course: https://www.coursera.org/learn/autonomous-runway-detection

Introduction

**Course Review: Capstone: Autonomous Runway Detection for IoT on Coursera** If you are an aspiring engineer looking to research and implement cutting-edge technology in IoT, then the Coursera course "Capstone: Autonomous Runway Detection for IoT" is the perfect opportunity for you. This course not only enhances your technical skills but also provides a hands-on experience that bridges theoretical knowledge with practical application. ### Overview The capstone project serves as a culmination of three invaluable courses previously offered in the IoT specialization, namely: 1. **Development of Real-Time Systems** 2. **Web Connectivity & Security** 3. **Embedded Hardware and Operating Systems** Here, you will engage in an exciting project focused on developing an IoT-based autonomous runway detection system for aircraft. This course encourages creative engineering decisions, allowing you to think critically about implementation choices in embedded systems for real-world applications. ### Syllabus Breakdown The course is divided into several critical modules, each designed to enhance your learning experience: #### 1. **Introduction and Methods** This module sets the stage by emphasizing the importance of practical software development. You'll dive into the project with an emphasis on building a large-scale system that incorporates various functionalities required for embedded software. The focus on IoT-based autonomous aircraft landing systems introduces you to the modern edge of software development, covering essential skills in embedded real-time processing, secure web connectivity, and cloud infrastructure. From the outset, you will be encouraged to unleash your creativity as you select the appropriate software components. This module not only reinforces your technical skills but also prepares you for the collaborative and innovative demands of the industry. #### 2. **Implementation and Integration** Here, you will roll up your sleeves and begin the hands-on implementation of the runway detection system. Detailed documentation and discussion forums provide essential support, guiding you through the requirements and necessary features to successfully complete the project. You will also have the opportunity to understand the complexities of integrating different components into a cohesive system - a task every aspiring embedded software designer will encounter in their career. #### 3. **Project Submission and Peer Review** The final stage encourages collaboration and feedback. You will submit your project and engage in peer review, an invaluable process that sharpens your skills and enhances your learning experience. This module not only allows you to evaluate others’ work but also to receive constructive criticism on your own project, which is vital for personal growth in the engineering field. ### Recommendation I highly recommend the "Capstone: Autonomous Runway Detection for IoT" course for anyone interested in pursuing a career in embedded systems and IoT. This course stands out due to its practical focus, innovative project scope, and strong emphasis on collaboration and peer feedback. Whether you're a seasoned engineer or new to the field, this capstone provides an excellent platform to apply your knowledge actively while gaining insights into the intricacies of system development and integration in the IoT domain. By the end of this course, you will not only have developed a sophisticated system but will also have enriched your engineering mindset, making you more competitive in the job market. In summary, if you’re ready to take the leap into real-world applications and want to polish your engineering skills while working on a project that has potential industrial relevance, enroll in this course today! You won't just be learning; you'll be creating something truly impactful.

Syllabus

Introduction and methods

Looking for a project where you actually learn practical software development? In this course you can show off your newly developed embedded software skills by putting together a large scale system consisting of a wide range of functionalities! This project makes you take a step into the most modern edge of software development for embedded systems, we implement a system for IoT-based autonomous aircraft landing for future airliners. In other words, a system based on embedded real-time processing devices, secure web connectivity and cloud-based high performance back ends. The project does not only focus on the implementation of the algorithms in these parts, but also something every embedded software designer faces sooner or later: the interfacing of the parts. We offer you the opportunity to participate in this project and let loose your engineering skills! Creativity and innovation are the key points to succeed as we give you free hands to pick all the software pieces together, and you show us the result of you innovative thinking in a project which can be applied in real industrial products today.

Implementation and integration

In this module you will implement the runway detection system presented in the other module. Please refer to documentation, discussion forums and instructions about the project before starting. Also please study the requirements for successfully completing the project, and the instructions document for giving a peer review grading.

Project submission and Peer review