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Capstone: Autonomous Runway Detection for IoT

Finally! You will learn how to motivate engineering decisions and how to choose implementations to make a system actually running! This capstone project course ties together the knowledge from three previous courses in IoT through embedded systems: Development of Real-Time Systems, Web Connectivity & Security and Embedded Hardware and Operating Systems. You will develop a larger system using the learning outcomes from these courses, and the students will evaluate the developed system in a real-world programming environment. This course is a true engineering task in which the learners must not only implement the algorithm code, but also handle the interfaces between many different actors and hardware platforms. You will also learn to evaluate the efficiency and the correctness of their system, as well as real-world parameters such as energy consumption and cost. Get ready! This one will change how you view proposals and projects! Ideate. Innovate. Iterate with 28Digital,
Duration 5 Months
Institution 28DIGITAL
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into 28DIGITAL.

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $365
Total Est. Investment $365

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the Capstone: Autonomous Runway Detection for IoT program at 28DIGITAL are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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