國立中山大學 114學年度第1學期 課程教學大綱

National Sun Yat-sen University 114Academic year1st Semester Course syllabus

中文名稱
Course name(Chinese)

 機器學習概論及其在海洋科學的應用

課號
Course Code

 DO720

英文名稱
Course name(English)

 INTRODUCTORY MACHINE LEARNING AND ITS APPLICATION IN MARINE SCIENCES

課程類別
Type of the course

 講授類

必選修
Required/Selected

選修

系所
Dept./faculty

 海洋科學系碩士班

授課教師
Instructor

 王敬湧

學分
Credit

 3

課程大綱 Course syllabus
　　　　　　　　 1. First part of the course focuses on the machine learning concepts and implementation with scikit-learn.
2. The second part focuses on the basics of deep learning and implementation with Keras/Tensorflow.
3. We will discuss some case studies in marine applications throughout the courses.



課程目標 Objectives
　　　　　　　　 This course introduces students to machine learning and its applications. Upon completion, students will be able to implement various ML models, from simple linear models to deep learning models, and apply the models on problems in marine sciences.



授課方式 Teaching methods
　　　　　　　　 The course includes lectures for conceptual understanding and coding demonstration for implementation. We will use Python for implementation (Google Colab), so students are required to have some programming experience in Python.


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

　　　　　　　　
1.Homework (coding)：30%
2.Final project proposal：5%
3.midterm (multiple choice)：15%
4.Final project presentation：50%

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

　　　　　　　　
序號作者書名出版社出版年出版地ISBN#
No.AutherTitlePublisherYear of
publish		Publisher
place		ISBN#
1Aurélien GéronHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3ed EditionO'Reilly2023United States of America9781098125967

課程時數規劃 Course Hour Planning
本校自114學年度起實施學期16週，仍以1學分18小時為原則。教師課程時數安排得選擇「16週+自主學習規劃」或「16週+實體上課規劃」。
Starting from the 114th academic year, the university will implement a 16-week course schedule, while maintaining the standard of 18 hours of instruction per credit. Instructors can choose between “16-weeks + Alternative learning periods”or“16-weeks + In-person classes.”

本門課程為「16週+自主學習規劃」：教師需於「A.每週課程內容及預計進度」欄位填寫16週課程進度，並於「B.自主學習規劃」欄位填寫每1學分2小時學生自主學習內容。
16 weeks + alternative learning periods: The instructor will include a 16-week course plan in the weekly scheduled progress section(16 hours of instruction per credit) and provide details of the learning plan (two hours of activity per credit) in the alternative learning period section.
本門課程為「16週+實體上課規劃」：教師需於「A.每週課程內容及預計進度」欄位填寫16週課程進度，並於「C.實體上課規劃」填寫2次授課內容及主題。
16 weeks + in-person classes: The instructor will include a 16-week course plan in the weekly scheduled progress section (16 hours of instruction per credit) and specify the content and topics of the 2 in-person classes in the in-person class plan section.

A.每週課程內容及預計進度 Weekly scheduled progress

　　　　　　　　
全英課程之授課內容及主題應以英文或雙語呈現
For courses taught entirely in English, the content and topics should be presented in English or bilingually.
週次日期授課內容及主題
WeekDateContent and topic
12025/09/07~2025/09/13Introduction to machine learning
22025/09/14~2025/09/20Python crash course and data preprocessing
32025/09/21~2025/09/27Regression
42025/09/28~2025/10/04Classification
52025/10/05~2025/10/11Dimension reduction
62025/10/12~2025/10/18Clustering / Part 1 summary
72025/10/19~2025/10/25No class (holiday)
82025/10/26~2025/11/01Midterm / Final project proposal
92025/11/02~2025/11/08Introduction to deep learning / Multilayer perceptron I
102025/11/09~2025/11/15Multilayer perceptron II
112025/11/16~2025/11/22Autoencoder
122025/11/23~2025/11/29Recurrent neural network
132025/11/30~2025/12/06Convolutional neural network
142025/12/07~2025/12/13Transfer learning / Part 2 summary
152025/12/14~2025/12/20Case studies / Final project presentation
162025/12/21~2025/12/27Final project presentation

B.自主學習規劃 Alternative learning periods

課程規劃學生自主學習內容（每1學分2小時）
Alternative learning periods planned for the course (with each credit corresponding to two hours of activity)

本門課程規劃學生彈性或自主學習內容（每1學分2小時）：
Alternative learning periods planned for the course (each credit corresponds to two hours of activity):
學生自主學習活動
Alternative learning periods		勾選或填寫規劃內容
Place a check in the appropriate box or provide details		時數
Number of hours
學生分組實作及討論
Group work and discussion
參與課程相關作業、作品、實驗
Participation in course-related assignments, work, or experiments
參與校內外活動（研習營、工作坊、參訪）或競賽
Participation in on- or off-campus activities (e.g., seminars, workshops, and visits) or competitions
課外閱讀
Extracurricular reading
線上數位教材學習
Learning with online digital learning materials
其他（請填寫規劃內容）
Other (please provide details)

C.實體上課規劃 In-Person Class Plan

若無規劃學生自主學習，則請教師規劃2次實體上課(每1學分2小時)，上課時間由師生自行討論，得利用週三下午4-7點或其他時段進行。
If there are no alternative learning periods planned for the course, the instructor should plan 2 in-person classes (2 hours of activity per credit). Class schedules can be arranged through discussions between instructors and students, utilizing Wednesday 4:00PM-7:00PM or other suitable time slots.
＊第一次實體上課內容及主題 (Content and topic for the first In-Person class)：
＊第二次實體上課內容及主題 (Content and topic for the second In-Person class)：

課業討論時間 Office hours
　　　　　　　　 時段1 Time period 1:
時間 Time：星期一13:00~15:00
地點 Office/Laboratory：MA3052
時段2 Time period 2：
時間 Time：星期二14:00~16:00
地點 Office/Laboratory：MA3052

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
　　　　　　　　
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.運用海洋知識的能力。 1. The ability to apply ocean science knowledge.           
2.完整科學程序之運用能力。 2. The ability to follow scientific procedures.           
3.執行研究及使用工具之能力。 3. The ability to perform research and the use of equipments.           
4.書面及口頭表達的能力。 4. The ability of written and oral presentation.V  VV V    
5.發掘及解決問題的能力。 5. The ability to identify and solve problems.V  VV V    
6.有效溝通與團隊合作的能力。 6. The ability to communicate and cooperate with team members effectively.V  VV V    
7.瞭解全球環境的變化。 7. Understanding changes in the global environments.           
8.理解專業倫理及社會責任。 8. Understanding of professional ethics and social responsibility.           
※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 skillsVV V       
2.探究與批判思考能力。 2. Inquisitive and critical thinking abilitiesVV 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. CreativityV   V V    
7.全球視野。 7. Global perspective           
8.合作與領導能力。 8. Team work and leadershipV   V V    
9.山海胸襟與自然情懷。 9. Broad-mindedness and the embrace of nature　           

本課程與SDGs相關項目：The course relates to SDGs items:

　　　　　　　　
SDG1-消除貧窮(No Poverty)
SDG2-消除飢餓 (Zero Hunger)
SDG3-良好健康與福祉(Good Health and Well-being)
SDG4-教育品質(Quality Education)
SDG5-性別平等(Gender Equality)
SDG6-乾淨水源與公共衛生(Clean Water and Sanitation)
SDG7-可負擔乾淨能源(Affordable and Clean Energy)
SDG8-優質工作與經濟成長(Decent Work and Economic Growth)
SDG9-工業、創新和基礎建設(Industry,Innovation and Infrastructure)
SDG10-減少不平等(Reduced Inequalities)
SDG11-永續城市(Sustainable Cities and Communities)
SDG12-責任消費與生產(Responsible Consumption and Production)
SDG13-氣候行動(Climate Action)
SDG14-海洋生態(Life Below Water)
SDG15-陸域生態(Life on Land)
SDG16-和平、正義和穩健的制度(Peace,Justice And Strong Institutions)
SDG17-促進目標實現的全球夥伴關係(Partnership for the Goals)
本課程和SDGS無關

本課程校外實習資訊: This course is relevant to internship:

　　　　　　　　 本課程包含校外實習（本選項僅供統計使用，無校外實習者，得免勾記）
The course includes internship.(For statistical use only. If the course without internship, please ignore this item.)

實習定義：規劃具有學分或時數之必修或選修課程，且安排學生進行實務與理論課程實習，於實習終了取得考核證明繳回學校後，始得獲得學分；或滿足畢業條件者。(一般校內實習請勿勾選此欄位)

Internship: The required or elective courses should include credits and learning hours. Students should participate in the corporative company or institution to practice and learn the real skills. An internship certification must be handed in at the end of internship to get the credits or to fulfil the graduation requirements.

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