儀器分析課程加入Python程式設計之教學研究

Abstract

食品科學系畢業生通常未受過電腦程式設計之正規訓練，因此當他們踏入職場後，往往不具有能理解、修改、及編輯程式碼之能力，在普遍與逐漸增加使用電腦自動化來執行、擷取、分析數據的食品加工業與食品分析檢驗業看來，食品科學系畢業生由於缺乏程式設計基本能力，往往成為他們在職場上之弱點與缺點，從而降低他們在食品相關職場上之競爭力。電腦程式設計屬於數位素養能力，歸納於108課綱學生核心素養三大面向中溝通互動面向之中，主訴求學生能廣泛妥善運用科技及資訊工具，與他人及環境有良好的互動。因此，本教學實踐研究計畫將於大學四年級之儀器分析課程中加入電腦程式設計訓練，除原本課堂資訊提供外，另加入Python程式設計相關專題演講與實務小專題操作，使用一個18波段之光學感測晶片(AS7625X)，讓學生親自利用Python撰寫程式與晶片溝通(學習I2C通訊協定)，使用3D列印製作光學裝置外殼(設計儀器)，實際擷取數據並藉由Python執行人工智慧機器學習法(使用PLSR, Partial least squares regression)，透過電腦程式設計實作與儀器分析課程相結合，加強學生於程式設計、統計模型與數據收集分析等能力，使學生在課後能具備撰寫python程式語言，能夠透過程式設計解決學習上與生活上的問題，並提升其未來職場上之競爭力。 Food science graduates usually have not received formal training in computer programming. Therefore, when they enter the workplace, they often do not have the ability to understand, modify, and edit program codes. From the perspective of the food processing and food analysis industries that collect and analyze data by computer programming which required the knowledge of coding. Computer programming is a digital literacy ability, which is summarized in the communication and interaction aspects. It mainly requires students to make extensive and appropriate use of technology and information tools to interact well with others and the environment. Therefore, this teaching research planed the addition of computer programming training to the instrument analysis course for students. In addition to the original teaching materials, Python programming-related special lectures and practical small-scale operations will be added, using an 18-band optical sensing chip (AS7625X) allows students to write programs in Python to communicate with the chip (learn I2C communication protocol), use 3D printing to make optical device housings (design instruments), actually capture data and execute artificial intelligence machines through Python (using PLSR, Partial least squares regression) combines computer programming practice with instrument analysis courses to strengthen students' abilities in programming, statistical modeling, and data collection and analysis. Programming language can solve learning and life problems through program design and enhance their competitiveness in the future workplace.