國立中山大學 110學年度第1學期 課程教學大綱
National Sun Yat-sen University 110Academic year1st Semester Course syllabus
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中文名稱 Course name(Chinese) |
金融科技服務開發 |
課號 Course Code |
FM616 |
英文名稱 Course name(English) |
THE DEVELOPMENT OF FINTECH SERVICES |
課程類別 Type of the course |
講授類 | 必選修 Required/Selected | 選修 |
系所 Dept./faculty |
財務管理學系碩士班 |
授課教師 Instructor |
王昭文 李忠軒
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學分 Credit |
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因應嚴重特殊傳染性肺炎(武漢肺炎),倘若後續需實施遠距授課,授課方式調整如下: |
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因應嚴重特殊傳染性肺炎(武漢肺炎),倘若後續需實施遠距授課,評分方式調整如下: |
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1.出席點名[Participation]:20% 2.平常作業[Homework]:10% 3.期中考[Midterm]:35% 4.期末分組報告[Group report]:35%
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課程大綱 Course syllabus |
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課程目標 Objectives |
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1. 學生具備資料科學能力 。 2. 學生能夠了解機器學習及深度學習模型理論與應用方法。 3. 學生能夠將本門課學到的知識,並應用於財務相關議題之研究與實務。 4. 培養學生成為資訊及財務跨領域人才。 Cultivate the students have the ability of data science. Teach students machine learning and deep learning theory and methods. Cultivate students to be FinTech talents.
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授課方式 Teaching methods |
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講授、課程討論及分組報告 lecture, class discussion and group presentation 本週上課將採 Google Meet 進行同步遠距課程,已選課學生請於以下連結進入: https://meet.google.com/jia-rtzf-xbg 進入會議室,統一名稱為:科系+年級+學號+姓名。 非選課學生擬旁聽者,請於前述連結登入,並於留言區留下科系+年級+學號+姓名,以做為異常處理之參考。
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評分方式﹝評分標準及比例﹞Evaluation (Criteria and ratio)等第制單科成績對照表 letter grading reference
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1.出席點名[Participation]:20% 2.平常作業[Homework]:10% 3.期中考[Midterm]:35% 4.期末分組報告[Group report]:35%
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參考書/教科書/閱讀文獻 Reference book/ textbook/ documents
〔請遵守智慧財產權觀念,不可非法影印。教師所提供之教材供學生本人自修學習使用,不得散播及做為商業用途〕
No copies for intellectual property rights. Textbooks provided by the instructor used only for self-study, can not broadcast or commercial use
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序號 | 作者 | 書名 | 出版社 | 出版年 | 出版地 | ISBN# | No. | Auther | Title | Publisher | Year of publish | Publisher place | ISBN# | 1 | François Chollet, J. J. Allaire | Deep Learning with R | Manning Publications Co. | 2018 | 美國 | 9781617295546 | 2 | HSUAN-TIEN LIN | LEARNING FROM DATA | 全華圖書 | 2012 | 台灣 | 9781600490064 | 3 | Hadley Wickham, Garrett Grolemund | R資料科學(R for Data Science) | 歐萊禮 | 2017 | 台灣 | 9789864764808 | 4 | Foster Provost, Tom Fawcett | 資料科學的商業運用(Data Science for Business) | 歐萊禮 | 2016 | 台灣 | 9789864760268 |
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彈性暨自主學習規劃 Alternative learning periods
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每週課程內容及預計進度 Weekly scheduled progress |
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週次 | 日期 | 授課內容及主題 | Week | Date | Content and topic | 1 | 2021/09/19~2021/09/25 | 課程介紹 [Course introduction] | 2 | 2021/09/26~2021/10/02 | 機器學習基礎理論(1)[Machine learning basic theory(1)] | 3 | 2021/10/03~2021/10/09 | 機器學習基礎理論(2)[Machine learning basic theory(2)] | 4 | 2021/10/10~2021/10/16 | 機器學習基礎理論(3)[Machine learning basic theory(3)] | 5 | 2021/10/17~2021/10/23 | 機器學習基礎理論(4)[Machine learning basic theory(4)] | 6 | 2021/10/24~2021/10/30 | 機器學習模型理論與應用(1)[Machine learning model theory(1)] | 7 | 2021/10/31~2021/11/06 | 機器學習模型理論與應用(2)[Machine learning model theory(2)] | 8 | 2021/11/07~2021/11/13 | 機器學習模型理論與應用(3)[Machine learning model theory(3)] | 9 | 2021/11/14~2021/11/20 | 機器學習模型理論與應用(4)[Machine learning model theory(4)] | 10 | 2021/11/21~2021/11/27 | 機器學習模型理論與應用(5)[Machine learning model theory(5)] | 11 | 2021/11/28~2021/12/04 | 期中考[Midterm exam] | 12 | 2021/12/05~2021/12/11 | 深度學習基礎理論(1)[Deep learning basic theory(1)] | 13 | 2021/12/12~2021/12/18 | 深度學習基礎理論(2)[Deep learning basic theory(2)] | 14 | 2021/12/19~2021/12/25 | 深度學習基礎理論(3)[Deep learning basic theory(3)] | 15 | 2021/12/26~2022/01/01 | 深度學習實務應用(1)[Deep learning application(1)] | 16 | 2022/01/02~2022/01/08 | 深度學習實務應用(2)[Deep learning application(2)] | 17 | 2022/01/09~2022/01/15 | 深度學習實務應用(3)[Deep learning application(3)] | 18 | 2022/01/16~2022/01/22 | 期末分組報告[Final report] |
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課業討論時間 Office hours |
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時段1 Time period 1: 時間 Time:星期三14:00~16:00 地點 Office/Laboratory:管4096 時段2 Time period 2: 時間 Time:星期五14:00~16:00 地點 Office/Laboratory:管4096
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系所學生專業能力/全校學生基本素養與核心能力 basic disciplines and core capabilitics of the dcpartment and the university |
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系所學生專業能力/全校學生基本素養與核心能力 basic disciplines and core capabilities of the department and the university | 課堂活動與評量方式 Class activities and evaluation | 本課程欲培養之能力與素養 This course enables students to achieve.
| 紙筆考試或測驗 Test.
| 課堂討論︵含個案討論︶ Group discussion (case analysis). | 個人書面報告、作業、作品、實驗 Indivisual paper report/ assignment/ work or experiment.
| 群組書面報告、作業、作品、實驗 Group paper report/ assignment/ work or experiment. | 個人口頭報告 Indivisual oral presentation. | 群組口頭報告 Group oral presentation. | 課程規劃之校外參訪及實習 Off-campus visit and intership. | 證照/檢定 License. | 參與課程規劃之校內外活動及競賽 Participate in off-campus/ on-campus activities and competitions. | 課外閱讀 Outside reading. | ※系所學生專業能力 Basic disciplines and core capabilities of the department | |
1.財務倫理之能力與社會責任實踐 1. Financial ethics ability. | | | | | | | | | | | | 2.國際觀之能力 2. Global perspective. | | | | | | | | | | | | 3.解決財務問題之能力 3. Problem solving ability in Finance. | V | | | | V | | | | | | | 4.溝通之能力 4. Communication skill. | V | | | | V | | | | | | | 5.財務管理專業知識之能力 5. Expertise in Financial management. | V | V | | | | | | | | | | ※全校學生基本素養與核心能力 Basic disciplines and core capabilities of the university | |
1.表達與溝通能力。 1. Articulation and communication skills | V | | | | V | | | | | | | 2.探究與批判思考能力。 2. Inquisitive and critical thinking abilities | V | | | | V | | | | | | | 3.終身學習能力。 3. Lifelong learning | | | | | | | | | | | | 4.倫理與社會責任。 4. Ethnics and social responsibility | | | | | | | | | | | | 5.美感品味。 5. Aesthetic appreciation | | | | | | | | | | | | 6.創造力。 6. Creativity | | | | | | | | | | | | 7.全球視野。 7. Global perspective | | | | | | | | | | | | 8.合作與領導能力。 8. Team work and leadership | | | | | | | | | | | | 9.山海胸襟與自然情懷。 9. Broad-mindedness and the embrace of nature | | | | | | | | | | | |
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本課程與SDGs相關項目:The course relates to SDGs items: |
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本課程校外實習資訊: This course is relevant to internship: |
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