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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.