本課程旨在培養同學們運用所學數理知識與程式能力，解決問題並且整理成有系統的報告內容。
課程目的之一是在讓學生畢業前具有進行數學或數學應用的研究經驗、資料蒐集、報告撰寫與口頭報告的經驗。

This course aims to cultivate students' knowledge and programming skills to solve problems and organize them into systematic reports.
One of the purposes of the course is to give students experience in research experience, data collection, report writing and oral reporting in mathematical or mathematical applications before graduating.

參考書依研究專題而有不同，請與指導教師商議。以下為你可能的會用到的參考資料：

1. 論文寫作完全求生手冊：「精準表達，以理服人」的技藝
https://www.books.com.tw/products/0010945462?loc=P_0002_001

2. Python最強入門邁向頂尖高手之路：
王者歸來(第二版)全彩版
https://www.books.com.tw/products/0010869590?sloc=main

3. Deep Learning：用Python進行深度學習的基礎理論實作
https://www.books.com.tw/products/0010761759?sloc=main

4. Strang, G. (2019). Linear algebra and learning from data (Vol. 4).
Cambridge: Wellesley-Cambridge Press.
https://www.amazon.com/Linear-Algebra-Learning-Gilbert-Strang/dp/0692196382

References vary according to the research topic, please discuss with the guidance teacher. The following are the reference materials you may use:

1. Complete surviving manual for writing: "Explanation accurately and convince people with reason"
https://www.books.com.tw/products/0010945462?loc=P_0002_001

2. Python’s most powerful path to top experts:
King of the King (Second Edition) Full Color Edition
https://www.books.com.tw/products/0010869590?sloc=main

3. Deep Learning: Basic theories for in-depth learning using Python
https://www.books.com.tw/products/0010761759?sloc=main

4. Strang, G. (2019). Linear algebra and learning from data (Vol. 4).
Cambridge: Wellesley-Cambridge Press.
https://www.amazon.com/Linear-Algebra-Learning-Gilbert-Strang/dp/0692196382