Course Syllabus

Course Information：

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2026	361963	Fundamentals of Programming and Artificial Intelligence	1	2.0	3	▲	Charng Shin Chen	4ARCH3	40	0

Course Plan：

Instructor	Charng Shin Chen　Office Hours
Email	charngshin.chen@mail.ntut.edu.tw
Last Updated	2026-06-08 00:41:48
Course Objective	本課程旨在介紹程式設計的基本概念和技術，以及人工智慧的發展和應用。課程內容涵蓋程式語言的基本語法，以及人工智慧的基礎觀念與理論，並藉由編程練習及AI工具操作來進一步了解人工智慧應用以及程式設計的潛在應用。 This course aims to introduce the fundamental concepts and techniques of programming, as well as the development and application of artificial intelligence. The course content covers basic syntax for the programming languages, along with the fundamental concept theories of artificial intelligence. Through programming practices and AI tool manipulations, the students can gain a further understanding of the artificial intelligence application and the potential application via programming.
Course Schedule	．Introduction（Parametric Design／Visual Basic Language／Hello Grasshopper?／ Artificial Intelligence） ．Interface（ Grasshopper User Interface／Talking to Rhino） ．Anatomy of a Grasshopper Definition （Parameters／Components / Data Types / Displays） ．Building Blocks of Algorithms （Points / Vectors／ Planes／Mathematics & ．Expressions & Conditionals / Logical Operators） ．Designing with Lists & Data Trees （Curves／Surface Geometry / Morphing） ．Combining Various Factors & AI via Plug-in （Ladybug / Karamba／Owl, etc）
Evaluation and grading policy	The course evaluation is mainly divided into two parts: "Lectures " and "Group Design Project." ．"Lectures" will be followed by either in-class exercises or article reading summaries after each session. (Grading criteria: Attendance – 20%; In-class exercises – 20%.) ．"Group Design Project " involves building up a parametric model and developing a design proposal by incorporating plug-ins related to spatial configuration, material systems, structural systems, and environmental control. ( Grading criteria: Design development – 40%; Documentation and portfolio – 20%)
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 1.《Food4Rhino》 https://www.food4rhino.com/en 2.《Grasshopper Offical Tutorials》 3.《AAD Algorithms-Aided Design: Parametric Strategies using Grasshopper》， Arturo Tedeschi，2014。 4.《Architecture in the Age of Artificial Intelligence》，Neil Leach，2021。 5.《Artificial Intelligence and Architecture: From Research to Practice》， Stanislas Chaillou，2025。
The access to curricular consultation	Email：charngshin.chen@gmail.com - - - Line Group: [ 1151_Fundamentals of Programming and Artificial Intelligence ]
Expanding teaching and resources	● 數位科技融入 (Digital Technology Integration) 運用生成式AI、VR/AR、IoT、IRS等新興科技輔助教學與評量。 Utilizes emerging technologies such as Generative AI, VR/AR, IoT, and IRS (Interactive Response Systems) to facilitate teaching and assessment. ● 混成學習 (Blended Learning) 課程結合實體授課與線上學習（同步視訊／非同步活動）。 Combines face-to-face instruction with online learning (including synchronous video sessions or asynchronous activities).
The course corresponds to the SDGs	SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure） SDG11：永續城市與社區（Sustainable Cities and Communities） SDG17：夥伴關係（Partnerships for the Goals）
Does the course incorporate 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） ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
Note	◆ Flexible Learning Activities ◆ 1. Category: Student Group Practice and Discussion; Distance Learning 2. Content: Week 17: Revise the group design project. Week 18: Complete and submit the project portfolio. 3. Duration: 6 hours 4. Learning Outcomes: Students will revise their project, prepare a portfolio, and complete the final submission. 5. Assessment Weighting: The project portfolio accounts for 15% of the final grade. Together with the project presentation (25%), the project component represents 40% of the overall course grade.