Welcome to Python (I)! This page is the shared hub for all sections.

For section-specific updates and course management, please refer to your section on the KMU New E-Learning Platform (高雄醫學大學數位學習平台).

I. Course Description / 課程簡介

This course introduces computational thinking and basic programming using Python. Through step-by-step learning and in-class practice, students will learn how to break down problems, write and debug simple programs, and work with basic data.

The course also prepares students to collaborate with engineers and data scientists in clinical and research settings.

By the end of the course, students will be able to write Python programs to solve practical problems and read, organize, and analyze basic data.

II. Course Topics / 課程主題

• Computational Thinking (Intro): step-by-step problem solving and basic troubleshooting

• Core Python Basics: variables, conditionals, loops, and simple functions

• Text & Data Structures: strings, lists, and dictionaries

• Files & Practice: basic file I/O and in-class exercises

III. Sections / 分班

For section-specific details, please refer to the KMU New E-Learning Platform.

• Section 1 (No. 9961230): IR503, Mon 3:10–5:00 PM

• Section 2 (No. 9961231): IR334, Fri 1:10–3:00 PM

• Section 3 (No. 9961233): IR334, Tue 1:10–3:00 PM

• Section 4 (No. 9961236): IR503, Mon 10:10 AM–12:00 PM

IV. Instructor & Contact / 授課教師與聯絡方式

• Instructor: Jacky Chung-Hao Wu (吳崇豪)

• Office: CS924, Chi-Shih Building (濟世大樓)

• Email: jackchwu@kmu.edu.tw

• Office Hours: By appointment only (please schedule by email)

V. Prerequisites / 修課準備

No prior programming experience is required.

Basic computer skills are expected.

VI. Getting Started / 工具與環境準備

• What we use: Google Colab (for in-class practice and assignments)

• What you need: a Google account

• Workflow (create a blank Colab notebook):

  1. Sign in to your Google account

  2. Create a folder in Google Drive (e.g., "Python(I)_Spring2026")

  3. Open the folder you just created

  4. Click New (新增) → More (更多) → Google Colaboratory to create a blank notebook

     • If you can’t find it:

Click New (新增) → More (更多) → Connect more apps (連結更多應用程式)

→ search “Colaboratory” → install

VII. Weekly Schedule (Subject to change) / 週次進度(視課程進度調整)

The schedule below is a tentative plan and may be adjusted based on class progress.

• Weeks 1–3: Introduction & Basics

Why Program? (Introduction); Variables, Expressions, and Statements

• Weeks 4–6: Control Flow & Functions

Conditional Execution; Functions; Loops and Iterations

• Weeks 7–9: Text, Files, and Robust Programming

Strings; Files; Debugging & Exception Handling

• Weeks 10–13: Data Structures & Regular Expressions

Lists; Dictionaries; Tuples; Regular Expressions

• Weeks 14–17: Selected Topics (if time permits)

Network Programming; Using Web Services; Object-Oriented Programming; Databases; Data Visualization

• Week 18: Final Exam

VIII. Materials & Resources / 教材與參考資料

• Textbook

  • Severance, C. (2017). Python for Everybody: Exploring Data in Python 3. Shroff Publishers

    • Available online: https://books.trinket.io/pfe/index.html

• References

  • Downey, A. B. (2024). Think Python: How to Think Like a Computer Scientist (3rd ed.). O’Reilly Media

    • Available online: https://allendowney.github.io/ThinkPython/

  • Scientific Python Lectures: https://lectures.scientific-python.org/

  • Official Python documentation: https://docs.python.org/3/

IX. Grading / 評分方式

• Homework: 60%

• Final Exam: 40%

X. Academic Integrity / 學術誠信

• Submit your own work for all homework and exams (no cheating or falsification)

• Do not copy code or share complete solutions with others

• AI tools may be used, but all usage must be clearly acknowledged (e.g., in code comments)

• You should be able to explain any code you submit

• Violations will be handled according to KMU policies

FAQ / 常見問題

Let me know if you have questions — I’ll keep this FAQ updated.

• Q1: Do I need to install Python on my computer?

A1: No, we will use Google Colab for in-class practice and homework.

• Q2: What Python version should I use for this course?

A2: Use Python 3 only — Python 2 is outdated and no longer supported.

In this course, we mainly use Google Colab, so you usually don’t need to worry about the exact version.

If needed, you can check it in Colab by running "!python --version".

If you practice locally, install the latest stable Python 3 from the official Python website: https://www.python.org/downloads/.

• Q3: Where can I get a Google account for this course?

A3: KMU provides student Google accounts (e.g., "your_id@gap.kmu.edu.tw") for Google Drive and Google Colab.

Please refer to the official guide here: https://www.gap.kmu.edu.tw/.

You may also use your personal Gmail account.

• Q4: Are there any recommended tools for a better coding experience?

A4: VS Code + Anaconda is a great option if you want to code locally with a smoother workflow.

This is optional and not required for this course.