課程概述 此計畫之課程的重點介紹了 LoRa技術、其技術特點和應用並結合IoTtalk平台呈現數據結果。透過基本的Arduino與各類感測器，深入至LoRa / LoRaWAN以及IoTtalk，同時比較各項通訊技術間的差異，讓學員了解到LoRa以及IoTtalk的優勢與潛力所在，接著會以實作來讓學員更加理解其中的原理。這項技術也應用在程式教育上，學生可以透過簡單的程式，完成物聯網的程式撰寫，輕鬆串連各樣裝置。本計畫盼望藉由這連串的課程，培養學員具備IoTtalk相關的知識與技術，藉由建立數據的相關性，在軟體端為感測器設備拉起防護網，避免不可預測的農地狀態帶來的損失。唯有在感測器設備蒐集的數據都可以被信任時，進一步發展的精準農業、預防性維護才有意義。
本課程的主要目標在於讓學生熟悉LoRa與IoTtalk平台之相關技術。主要授課於大四與研究所之學生，可使學生學習到符合未來發展趨勢的物聯網技術與相關應用，並且輔以Grafana視覺化分析平台做出相關技術的實習和實作，以達到理論與實務兼備的教學目標。另外，為提高未來於各校推廣時的適用性，本課程邀請國內相關領域的教授或是業界講師進行教學模組及實驗模組的設計與規劃，教材是由本課程由任課老師與課程助教各自編纂再集結成自編教材，任課老師負責一般授課與範例講解，課程助教負責上機實驗授課教材。再經由期末學生們的報告，展示成果，也驗收學習成效。經由此課程培育受課學生成為物聯網分析領域之人才，並加以與行動寬頻尖端之技術結合應用於行動寬頻產業。

Course Overview This course focuses on introducing LoRa technology, its technical features and applications and presenting data results in conjunction with the IoTtalk platform. Through basic Arduino and various sensors, we will delve into LoRa/LoRaWAN and IoTtalk, and at the same time compare the differences between various communication technologies, allowing students to understand the advantages and potential of LoRa and IoTtalk, and then use practical applications to help students better understand the principles. This technology is also used in programming education. Students can complete programming for the Internet of Things through simple programs and easily connect various devices. This project hopes that through this series of courses, students will be equipped with IoTtalk-related knowledge and techniques, and by establishing data correlation, a protective net will be built for sensor equipment on the software side to avoid losses caused by unpredictable farmland conditions. Only when the data collected by sensor equipment can be trusted can the further development of precision agriculture and preventive maintenance make sense.
The main goal of this course is to familiarize students with the related technologies of LoRa and IoTtalk platforms. Mainly taught to senior students and postgraduate students, students can learn IoT technologies and related applications that are in line with future development trends, and are supplemented by the Grafana visual analysis platform to conduct internships and implementations of related technologies to achieve teaching goals that combine both theory and practice. In addition, in order to improve the applicability when promoted in various schools in the future, this course invites domestic professors or industry lecturers in related fields to design and plan teaching modules and experimental modules. The teaching materials are compiled by the course teachers and course teaching assistants and then assembled into self-edited teaching materials. The course teachers are responsible for general teaching and example explanations, and the course teaching assistants are responsible for the computer-based experimental teaching materials. Then, through the students' reports at the end of the semester, the results are displayed and the learning effectiveness is also checked. Through this course, students will be trained to become talents in the field of Internet of Things analysis, and will be combined with cutting-edge mobile broadband technologies for application in the mobile broadband industry.

Beginning LoRa Radio Networks with Arduino: Build Long Range, Low Power Wireless IoT Networks Paperback – February 19, 2019

Beginning LoRa Radio Networks with Arduino: Build Long Range, Low Power Wireless IoT Networks Paperback – February 19, 2019