本課程自113學年度起申請「彈性學習 學期16+2」之課程。旨在讓學生建立電機電路專業智識、維持課程品質、維護學生受教權、並使學生自主學習習慣之養成。
授課方式:規劃16週實體理論課程，2週彈性課程。彈性課程時間統一規劃於第17-18週。
物理計算是一門經由學習人類如何通過計算機進行溝通與交流的學科; 它首先考慮人類如何在應用計算機加上感測器與控軟體來表達自己。在本課程中，我們以人體感觀意識為既定，並嘗試在其表達範圍內設計計算機之應用程序來整合人類的”感觀”。
為了實現這一目標，學員將學習計算機如何將我們身體發出的能量變化（以聲音、光、運動和其他形式）轉換為它可以讀取和解釋的不斷變化的電子信號; 並將了解執行此操作的感測器，以及稱為微控制器的簡單計算機，這些計算機可以讀取感測器並將其輸出轉換為數據。最後，將了解微控制器如何與其他計算機通信。
整體上，學員將由觀察開始並構建設備，將花費大量時間構建電路、焊接、編寫程序、構建結構以容納傳感器和控件，並弄清楚如何最好地使所有這些事物與人的身體感觀上之相關聯。
由於本課程相當著重MCU，感測器與控制程式之結合。所以本課程將由Arduino+Esp32 MCU之理論與使用開始，再撘配37款感測器，與整體之控制程式開始。
為了推廣物聯網的應用範圍，心須先讓學生們了解感測器整體架構，並培養其對感測器元件及系統之觀念。透過由淺至深的課程編排，以循序漸進的方式教導同學，減少繁雜的數學推導且多用淺顯易懂的物理觀念，闡釋課程內容的重點，使學生更能吸收進而內化成知識，希望同學修完這門課程，能對感測器技術感到興趣，未來可以選修本系開設之更高階的奈米電子或人工智慧等相關課程。
This course applies for the "Flexible Learning Semester 16+2" course starting from the 113th academic year. It aims to enable students to establish professional knowledge of electrical circuits, maintain course quality, protect students' right to education, and develop students' independent learning habits.
Teaching method: 16 weeks of physical theory courses and 2 weeks of flexible courses. Flexible course times are planned for weeks 17-18.
Physical computing is a discipline that studies how humans communicate through computers; it first considers how humans express themselves by applying computers, sensors and control software. In this course, we take human body sensory awareness as a given and try to design computer applications within the scope of its expression to integrate human "sense".
To achieve this goal, students will learn how computers convert changes in energy emitted by our bodies (in the form of sound, light, motion, and other forms) into changing electrical signals that it can read and interpret; and will learn to perform this operation sensors, and simple computers called microcontrollers that read the sensors and convert their output into data. Finally, you'll learn how microcontrollers communicate with other computers.
Overall, students will start by observing and building devices, and will spend a lot of time building circuits, soldering, writing programs, building structures to house sensors and controls, and figuring out how best to make all of these things sense and feel in the human body. associated.
This course places great emphasis on the combination of MCU, sensors and control programs. Therefore, this course will start with the theory and use of Arduino+Esp32 MCU, and then start with the configuration of 37 sensors and the overall control program.
In order to promote the application scope of the Internet of Things, students must first understand the overall architecture of the sensor and develop their concepts of sensor components and systems. Through the arrangement of courses from shallow to advanced, students are taught in a step-by-step manner, reducing complicated mathematical derivation and using more easy-to-understand physical concepts to explain the key points of the course content, so that students can better absorb and internalize knowledge. We hope that students will complete the course If you are interested in sensor technology through this course, you can take more advanced nanoelectronics or artificial intelligence related courses offered by this department in the future.
自編
Self-edited
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期中考+期中小考（35%）期中考+期中小考（35%） Midterm exam + midterm quiz (35%) |
35 | |
| 期末考+期末小考（35%）期末考+期末小考（35%） Final exam + final quiz (35%) |
35 | |
| 習題與平時成績（10%）習題與平時成績（10%） Exercises and usual results (10%) |
10 | |
| 2週彈性課程（20%）2週彈性課程（20%） 2-week flexible course (20%) |
20 |
