查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

114-1 348769 人工智慧概論與計算機程式 1 2.0 3 ▲ 李旻璁化工一丙 37 0 計中電腦教室

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
114-1	348769	人工智慧概論與計算機程式	1	2.0	3	▲	李旻璁	化工一丙	37	0	計中電腦教室

教學大綱與進度：

教師姓名李旻璁　教師諮商時間(Office Hours)

Email mtlee@ntut.edu.tw

最後更新時間 2025-08-17 22:38:26

課程大綱 This course focuses on understanding the algorithms behind programming solutions rather than the syntax of any specific programming language. Students will learn how to conceptualize, develop, and implement algorithms to solve engineering problems using a dual-language approach. Fortran will be used to introduce algorithmic fundamentals, while Python—generated and explored through ChatGPT—will demonstrate how logical structures can be adapted across languages. A key emphasis of this course is cultivating literacy in using Generative AI tools, especially ChatGPT, for programming. Students will learn how to prompt ChatGPT effectively, interpret and critique AI-generated code, and use it as a tool to accelerate their understanding of computational thinking. The course aims to empower students to confidently build adaptable, reliable solutions for engineering applications, especially those involving data analysis, simulation, and visualization.

課程進度第4週(9/29)及第5週(10/6)為國定假日，不上課。 Part I: Foundations and Tools (Weeks 1–3) Introduction to programming and ChatGPT as a GenAI assistant Basic Linux operations, shell usage, and the vim editor Setting up compilers and interpreters; visualization with gnuplot Role of spreadsheets (Excel) in conceptual planning Part II: Programming Concepts with Fortran (Weeks 4–10) Input/Output (I/O) fundamentals Variable declaration and data types Mathematical operations and built-in functions Control structures: loops (do), conditionals (if) File operations and array handling Subroutines and modules Introduction to random number generation * During these sessions, Python equivalents will be generated using ChatGPT to reinforce the portability of algorithmic thinking. Part III: Applied Algorithms and Visualization (Weeks 11–16) Sorting algorithms and data organization Statistical analysis and data interpretation Probability functions and histogram plotting Regression modeling and trend analysis Generating random walk trajectories and visualizing with VMD Simulating self-assembly and analyzing aggregate structures

評量方式與標準 Class Participation (Zuvio attendance and Q&A) 20% In-Class Exercises (hands-on programming tasks) 40% Final Project Report (individual or group-based) 40% There are no midterm or final exams. Attendance is mandatory, and students are expected to actively participate in in-class discussions and exercises.

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：否
Instructor-prepared materials will be used throughout the course.

課程諮詢管道 email (mtlee@mail.ntut.edu.tw)
Line (ID: mtleetw)

課程對應SDGs指標 SDG4：優質教育（Quality Education）
SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）

課程是否導入AI ● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process）
● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
● 使用生成式AI進行課堂即時互動（Use generative AI for real-time classroom interaction）

備註

教師姓名	李旻璁　教師諮商時間(Office Hours)
Email	mtlee@ntut.edu.tw
最後更新時間	2025-08-17 22:38:26
課程大綱	This course focuses on understanding the algorithms behind programming solutions rather than the syntax of any specific programming language. Students will learn how to conceptualize, develop, and implement algorithms to solve engineering problems using a dual-language approach. Fortran will be used to introduce algorithmic fundamentals, while Python—generated and explored through ChatGPT—will demonstrate how logical structures can be adapted across languages. A key emphasis of this course is cultivating literacy in using Generative AI tools, especially ChatGPT, for programming. Students will learn how to prompt ChatGPT effectively, interpret and critique AI-generated code, and use it as a tool to accelerate their understanding of computational thinking. The course aims to empower students to confidently build adaptable, reliable solutions for engineering applications, especially those involving data analysis, simulation, and visualization.
課程進度	第4週(9/29)及第5週(10/6)為國定假日，不上課。 Part I: Foundations and Tools (Weeks 1–3) Introduction to programming and ChatGPT as a GenAI assistant Basic Linux operations, shell usage, and the vim editor Setting up compilers and interpreters; visualization with gnuplot Role of spreadsheets (Excel) in conceptual planning Part II: Programming Concepts with Fortran (Weeks 4–10) Input/Output (I/O) fundamentals Variable declaration and data types Mathematical operations and built-in functions Control structures: loops (do), conditionals (if) File operations and array handling Subroutines and modules Introduction to random number generation * During these sessions, Python equivalents will be generated using ChatGPT to reinforce the portability of algorithmic thinking. Part III: Applied Algorithms and Visualization (Weeks 11–16) Sorting algorithms and data organization Statistical analysis and data interpretation Probability functions and histogram plotting Regression modeling and trend analysis Generating random walk trajectories and visualizing with VMD Simulating self-assembly and analyzing aggregate structures
評量方式與標準	Class Participation (Zuvio attendance and Q&A) 20% In-Class Exercises (hands-on programming tasks) 40% Final Project Report (individual or group-based) 40% There are no midterm or final exams. Attendance is mandatory, and students are expected to actively participate in in-class discussions and exercises.
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：否 Instructor-prepared materials will be used throughout the course.
課程諮詢管道	email (mtlee@mail.ntut.edu.tw) Line (ID: mtleetw)
課程對應SDGs指標	SDG4：優質教育（Quality Education） SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
課程是否導入AI	● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 使用生成式AI進行課堂即時互動（Use generative AI for real-time classroom interaction）
備註