智慧醫療大數據實作與分析

臺北科技大學 115-1 學期課程，課號 366414。

課程大綱

本課程旨在介紹智慧醫療領域中常見之生醫大數據分析技術與應用，培養學生運用資訊科技解決醫療與生命科學問題之能力。課程內容涵蓋基礎生物學概念、生物資訊的經典演算法、基因體學與轉錄體學資料分析流程，以及微陣列（Microarray）、次世代定序（Next-Generation Sequencing, NGS）等高通量生物技術。學生將學習DNA定序分析、RNA定序分析及總體基因體（Metagenomics）分析方法，並透過實作熟悉生醫大數據分析流程。此外，課程邀請生醫領域專家進行專題演講，介紹電子病歷（Electronic Health Records, EHR）、基因體學（Genomics）、代謝體學（Metabolomics）等智慧醫療大數據之實務應用與發展趨勢。透過案例分析與閱讀期刊討論，培養學生整合生醫資料與人工智慧技術之能力。 This course provides a comprehensive introduction to biomedical big data analytics and its applications in smart healthcare. Topics include fundamental biological concepts, classical bioinformatics algorithms, genomic and transcriptomic data analysis, and high-throughput technologies such as Microarray and Next-Generation Sequencing (NGS). Students will learn the principles and practical workflows of DNA-seq, RNA-seq, and metagenomic analyses through hands-on exercises and real-world datasets. The course also features invited lectures from biomedical experts covering emerging applications of healthcare big data, including Electronic Health Records (EHRs), Genomics, Metabolomics, and other multi-omics data. Through case studies, journal paper discussions, and practical projects, students will gain experience in integrating biomedical data analytics with artificial intelligence techniques to address challenges in healthcare, precision medicine, and biomedical research.

課程進度

Week 1: Introduction Week 2-3: Concept of biology Week 4: NO CLASS (Teachers' Day) Week 5: Concept of biology Week 6: Special lecture Week 7: Sequencing alignment & Microarray technologies Week 8: NO CLASS (Taiwan Retrocession Day) Week 9: Introduction of sequencing technologies Week 10-11: DNA-seq analysis Week 12-13: RNA-seq analysis Week 14-15: Metagenomic analysis Week 16-17: Special lectures Week 18: Final report

評量方式

Practical group exercise Group journal presentation Reflection report Class attendance & involvement

教材

【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：否 1. Campbell Biology 12/e, Lisa U. et al., Pearson. 2. Concepts of Biology, Samantha Fowler et al., OpenStax. 3. Biology (2/e), Mary A. Clark et al., OpenStax. 4. Bioinformatics: A Practical Guide to Next Generation Sequencing Data Analysis, Hamid D. Ismail, CRC Press. 5. Bioinformatics: A Practical Guide to NCBI Databases and Sequence Alignments, Hamid D. Ismail, CRC Press. 6. 生物人的電腦教室,李鎮宇 (Eric Lee), 碁峰資訊 7. Developing Bioinformatics Computer Skills, Per Jambeck & Cynthia Gibas, O'Reilly.