國立中興大學教學大綱

課程名稱	(中) 生物資訊導論(3330)
	(Eng.) Introduction to Bioinformatics
開課單位	資工系
課程類別	選修			學分	3	授課教師	李奇恩
選課單位	資工系 / 學士班			授課使用語言	中文	開課學期	1142
課程簡述	This course provides an introduction to the fundamental concepts, methods, and applications of bioinformatics. Students will learn how computational techniques are used to analyze and interpret biological data, with a focus on genomic, transcriptomic, and proteomic information. Topics include biological databases, sequence alignment, phylogenetic analysis, gene prediction, functional annotation, and basic statistical and machine learning approaches in biological data analysis. The course also introduces programming tools commonly used in bioinformatics and emphasizes practical skills through hands-on exercises. By the end of the course, students will be able to understand and apply bioinformatics methods to solve problems in modern biological and biomedical research.
先修課程名稱

課程與核心能力關聯配比(%)			課程目標之教學方法與評量方法
課程目標	核心能力	配比(%)	教學方法	評量方法
Upon completion of this course, students will be able to understand the basic concepts of bioinformatics and biological data, use common bioinformatics databases and tools, apply fundamental methods for biological data analysis, interpret bioinformatics results in biological contexts, and develop basic computational skills for bioinformatics applications.	1.具備資訊科學素養、資訊理論與數學分析之能力 4.具備分析、設計與整合資訊應用系統之能力 6.具備自我學習、溝通協調與團隊合作之能力	50 30 20	討論 講授	書面報告 出席狀況 口頭報告 測驗 實作
授課內容(單元名稱與內容、習作/每週授課、考試進度-共16週加自主學習)
週次 授課內容 第1週 Introduction to Bioinformatics: scope, history, and applications in biology and medicine 第2週 Molecular biology fundamentals: DNA, RNA, proteins, and the central dogma 第3週 Biological data types and formats; overview of high-throughput biological data 第4週 Biological databases: NCBI, GenBank, UniProt, PDB, and database searching strategies 第5週 Sequence alignment fundamentals: pairwise alignment, scoring schemes, and BLAST 第6週 Multiple sequence alignment and introduction to phylogenetic analysis 第7週 Gene structure, gene prediction, and genome annotation 第8週 Midterm exam 第9週 Functional annotation and pathway analysis; Gene Ontology and KEGG 第10週 Transcriptomics and RNA-seq data analysis concepts 第11週 Proteomics and protein structure analysis 第12週 Statistical concepts in bioinformatics and data interpretation 第13週 Introduction to machine learning in bioinformatics 第14週 Bioinformatics applications in biomedical research and precision medicine 第15週 Hands-on project presentations 第16週 Final exam 自主學習 內容    03.製作專題報告
學習評量方式
Attendance: 10% Midterm exam: 25% Final Project: 35% Final Exam: 30%
教科書＆參考書目(書名、作者、書局、代理商、說明)
Arthur M. Lesk, Introduction to Bioinformatics, 4th Edition, Oxford Press, 2013 ，藝軒圖書出版社代理
課程教材（教師個人網址請列在本校內之網址）
課程輔導時間
Thursday 14:00-16:00
聯合國全球永續發展目標(連結網址)
04.教育品質   08.就業與經濟成長 提供體驗課程：Y

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