Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Fall Semester
Year 2025 351992 Computational Biology and Medical Informatics 1 3.0 3 ★ Chien-Yueh Lee MSAI 6 0 計中電腦教室

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	351992	Computational Biology and Medical Informatics	1	3.0	3	★	Chien-Yueh Lee	MSAI	6	0	計中電腦教室

Course Plan：

Instructor Chien-Yueh Lee　Office Hours

Email leecy@ntut.edu.tw

Last Updated 2025-06-23 17:12:51

Course Objective 本課程主旨在介紹計算生物學及醫學資訊學相關之重要主題，目的在於提供學生漸進式的介紹，理解當代最新之各項生醫分析技術。本課程主要為有志於跨領域學習之學生所設計，內容包含基礎生物學的核心知識與基礎Linux操作，以及生醫領域的序列比對工具和介紹微陣列晶片技術。在奠定基礎後開始進入次世代分析技術的應用，主題將包含DNA定序、RNA定序與總體基因體學分析。希望透過這些內容讓學生在分析各種基因資料並了解不同生物學問題時，具備選擇合適工具與詮釋結果的能力。接著，透過研究實例和分析操作，讓學生接觸到實際實驗測量產生的數據，體會真實研究的過程。藉由實際操作相關分析工具，使學生體會基因資料在實務上的重要性，達到將生物理論與實務應用緊密結合的目標。此外，課程也將邀請計算生物學領域的專家親臨授課，透過專題演講與實作操作，帶領學生深入探索前沿技術，拓展知識與實做技能。 This course aims to introduce important topics related to computational biology and medical informatics. The objective is to provide students with a gradual introduction to understanding the latest contemporary biomedical analysis techniques. This course is primarily designed for students interested in interdisciplinary learning. The content includes concept knowledge of basic biology, fundamental Linux operations, sequencing alignment in the biomedical field, and introductions to microarray technologies. After establishing this foundation, the course will progress to the application of next-generation sequencing technology, covering topics such as DNA sequencing, RNA sequencing, and metagenomics analysis. Through this content, students will develop the ability to select appropriate tools and interpret results when analyzing various types of genetic data and addressing different biological questions. Following this, research case studies and hands-on analytical exercises will allow students to engage with real data generated from experimental measurements, providing insight into the actual research process. By directly working with relevant analytical tools, students will gain an appreciation for the practical significance of genetic data, achieving the goal of closely integrating biological theory with real-world applications. In addition, the course will feature guest lectures and hands-on workshops by experts in computational biology, guiding students in exploring cutting-edge technologies and expanding both their theoretical knowledge and practical skills.

Course Schedule Week 1: Introduction Week 2-3: Concept of biology Week 4: (Teachers' Day) Week 5: (Mid-Autumn Festival) Week 6: Concept of biology Week 7: Common Linux Operations Week 8: Sequencing Alignment & Microarray technologies Week 9-10: Special lectures Week 11: Introduction of sequencing technologies Week 12-13: DNA-seq analysis Week 14-15: RNA-seq analysis Week 16-17: Metagenomic analysis Week 18: Final report

Evaluation and grading policy Practical group exercise Final oral & written reports Class attendance & involvement

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
Campbell Biology 12/e, Lisa U. et al., Pearson

The access to curricular consultation You can consult about the course in the Online Discussion of iSchool+. If you prefer to discuss privately, it's recommended to use email or arrange an in-person meeting during the teacher's consultation hours.

The course corresponds to the SDGs SDG3：良好健康和福祉（Good Health and Well-being）
SDG4：優質教育（Quality Education）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）

Does the course incorporate AI AI1：使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process）
AI3：使用生成式AI進行課堂即時互動（Use generative AI for real-time classroom interaction）

Note
EMI course

Instructor	Chien-Yueh Lee　Office Hours
Email	leecy@ntut.edu.tw
Last Updated	2025-06-23 17:12:51
Course Objective	本課程主旨在介紹計算生物學及醫學資訊學相關之重要主題，目的在於提供學生漸進式的介紹，理解當代最新之各項生醫分析技術。本課程主要為有志於跨領域學習之學生所設計，內容包含基礎生物學的核心知識與基礎Linux操作，以及生醫領域的序列比對工具和介紹微陣列晶片技術。在奠定基礎後開始進入次世代分析技術的應用，主題將包含DNA定序、RNA定序與總體基因體學分析。希望透過這些內容讓學生在分析各種基因資料並了解不同生物學問題時，具備選擇合適工具與詮釋結果的能力。接著，透過研究實例和分析操作，讓學生接觸到實際實驗測量產生的數據，體會真實研究的過程。藉由實際操作相關分析工具，使學生體會基因資料在實務上的重要性，達到將生物理論與實務應用緊密結合的目標。此外，課程也將邀請計算生物學領域的專家親臨授課，透過專題演講與實作操作，帶領學生深入探索前沿技術，拓展知識與實做技能。 This course aims to introduce important topics related to computational biology and medical informatics. The objective is to provide students with a gradual introduction to understanding the latest contemporary biomedical analysis techniques. This course is primarily designed for students interested in interdisciplinary learning. The content includes concept knowledge of basic biology, fundamental Linux operations, sequencing alignment in the biomedical field, and introductions to microarray technologies. After establishing this foundation, the course will progress to the application of next-generation sequencing technology, covering topics such as DNA sequencing, RNA sequencing, and metagenomics analysis. Through this content, students will develop the ability to select appropriate tools and interpret results when analyzing various types of genetic data and addressing different biological questions. Following this, research case studies and hands-on analytical exercises will allow students to engage with real data generated from experimental measurements, providing insight into the actual research process. By directly working with relevant analytical tools, students will gain an appreciation for the practical significance of genetic data, achieving the goal of closely integrating biological theory with real-world applications. In addition, the course will feature guest lectures and hands-on workshops by experts in computational biology, guiding students in exploring cutting-edge technologies and expanding both their theoretical knowledge and practical skills.
Course Schedule	Week 1: Introduction Week 2-3: Concept of biology Week 4: (Teachers' Day) Week 5: (Mid-Autumn Festival) Week 6: Concept of biology Week 7: Common Linux Operations Week 8: Sequencing Alignment & Microarray technologies Week 9-10: Special lectures Week 11: Introduction of sequencing technologies Week 12-13: DNA-seq analysis Week 14-15: RNA-seq analysis Week 16-17: Metagenomic analysis Week 18: Final report
Evaluation and grading policy	Practical group exercise Final oral & written reports Class attendance & involvement
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No Campbell Biology 12/e, Lisa U. et al., Pearson
The access to curricular consultation	You can consult about the course in the Online Discussion of iSchool+. If you prefer to discuss privately, it's recommended to use email or arrange an in-person meeting during the teacher's consultation hours.
The course corresponds to the SDGs	SDG3：良好健康和福祉（Good Health and Well-being） SDG4：優質教育（Quality Education） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
Does the course incorporate AI	AI1：使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） AI3：使用生成式AI進行課堂即時互動（Use generative AI for real-time classroom interaction）
Note	EMI course