This course is offered in English.
<br>本課程採英文授課. (如果沒有外籍生選課，將改以中文上課)
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<br>Parts of the contents require basic knowledge in Biochemistry.
<br>部分內容需具有生科系大二生化基礎
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<br> 一、課程說明(Course Desc<x>ription)
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<br>In this course, we will introduce essential Servers, Databa<x>se and Online 
<br>tools in Bioinformatics. We will also conduct hand-on exercises in 
<br>functional genomics and protein analyses.
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<br>本課程兼重學理與實作，藉由習題與範例，使學員能熟悉網路上各種生物資訊之取得及工具應
<br>用，並針對各種常用生物資料庫作概略性的介紹，包括 NCBI, Protein Data Bank (PDB)、 
<br>KEGG、ExPasy 等生物資料庫。 課程中將連線上網，實際操作、演練各種輔助軟體 
<br>(Browser, viewer, molecular displa<x>yer...)。
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<br>二、參考書籍(References)
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<br>1. Bioinformatics: a practical guide to the analysis of genes and proteins
<br>Third Edition -- Gene Module
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<br>三、教學方式(Teaching Method)
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<br>Lectures and hand-on training will be offered in Life Science computer room.
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<br>在電腦教室上課，課堂講解示範與學生實地操做並行。
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<br>四、暫定教學進度(Tentative Syllabus)
<br>Week	Date	Topics	Contents	
<br>1. 	2/21 	Introduction to Bioinformatics		
<br>2. 	2/28 	Peace Memorial Day (No Class)		
<br>3. 	3/06 	Gene databa<x>se	
<br>4. 	3/13 	DNA sequence analysis		
<br>5. 	3/20  	Gene ex<x>pression databa<x>se		
<br>6. 	3/27 	Gene ex<x>pression databa<x>se		
<br>7. 	4/03 	Intercollegiate Activities (No Class)		
<br>8. 	4/10 	Gene ex<x>pression databa<x>se		
<br>9. 	4/17 	Gene regulation databa<x>se		
<br>10. 	4/24 	Protein ex<x>pression databa<x>se		
<br>11. 	5/01 	Protein Sequence Analysis		
<br>12. 	5/08 	Protein Structure Analysis	
<br>13. 	5/15 	Protein Structure Modeling & Comparison	
<br>14. 	5/22 	Protein-ligand Interaction and Molecular 	
<br>15. 	5/29 	Virtual Screening and drug design		
<br>16. 	6/05 	KEGG:Kyoto Encyclopedia of Genes and Genomes		
<br>17. 	6/12 	Final Project		
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<br>1. Grading policy - Homeworks/practices 60% / Exam. & Final Projects 40% 
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<br>2. 5% credit will be deducted for late homework. 
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<br>3. Do not be late for the class. Two counts of late arrival will be marked as 1  
<br>absence (10% credit deduction for the final score.) Three absences will 
<br>result in a "F" of the final grade.
<br>遲到兩次以曠課一次論，曠課一次扣總成績十分，曠課三次以不及格論。 
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<br>六、可連結之網頁位址 (li<x>nks)
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<br>NTHU E-Learning System:  http://ilms.nthu.edu.tw/
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<br>NTHU LS Alpha server: http://alpha.life.nthu.edu.tw/
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<br>七、採用下列何項 AI 使用規則 (Indicate which of the following options you use to 
<br>manage student use of the AI): 有條件開放，請註明如何使用生成式AI於課程產出 
<br>Conditionally open; please specify how generative AI will be used in course 
<br>output
<br>