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課程名稱 |
智慧醫療程式設計 (01)、(02)
Python programming for intelligent medicine (01)、(02) |
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開課學期 |
110-2 |
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授課對象 |
學程 智慧醫療學分學程 |
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授課教師 |
陳尚澤 |
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課號 |
IMP5006 |
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課程識別碼 |
P56 U9050 |
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班次 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
必修 |
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上課時間 |
星期三7,8,9(14:20~17:20) |
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上課地點 |
博雅406 |
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備註 |
智慧醫療學分學程電資學院核心課程。
總人數上限：36人 |
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課程簡介影片 |
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核心能力關聯 |
本課程尚未建立核心能力關連 |
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
https://www.csie.ntu.edu.tw/~stchen/teaching/med22/ |
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課程目標 |
Artificial Intelligence has been taking an increasingly important role in medical applications. This course is for medical students to learn basic Python programming, data processing and analysis, machine learning algorithms and their applications on medical problems such as medical image analysis. |
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課程要求 |
Notebook |
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預期每週課後學習時數 |
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Office Hours |
另約時間 備註： Instructor: Professor Shang-Tse Chen, email: stchen@csie.ntu.edu.tw
TA: Bo-Han Kung, email: d10922019@csie.ntu.edu.tw
TA office hour: 14:00-16:00 Tuesday @ CSIE R405 (or email) |
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指定閱讀 |
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參考書目 |
Think Python: How to Think Like a Computer Scientist 2nd Edition, by Allen B. Downey
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython 2nd Edition, by Wes McKinney |
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評量方式
(僅供參考) |
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No. |
項目 |
百分比 |
說明 |
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1. |
Homework |
40% |
10% x 4
All homework due times are at 11:59 pm on the day before the class.
No late submission is accepted. Exception: you email Professor Chen and get the approval before the deadline. |
2. |
Midterm |
30% |
4/6 |
3. |
Final exam |
30% |
6/1 |
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週次 |
日期 |
單元主題 |
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第1週 |
2/16 |
* Course introduction
* Python environment setup
* Variables, expressions and statements |
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第2週 |
2/23 |
* Functions |
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第3週 |
3/2 |
* Conditionals Control Flow |
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第4週 |
3/9 |
* Iteration & For-Loops |
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