國立中興大學教學大綱
課程名稱 (中) 翻轉教室:精準醫學大數據平台玩上手(1329)
(Eng.) Flipped classroom: To get the Hang of Big Data Platform of Precision Medicine
開課單位 學士後醫學系
課程類別 選修 學分 2 授課教師 林宏昱 等
選課單位 學士後醫學系 / 學士班 授課使用語言 英文 英文/EMI Y 開課學期 1141
課程簡述 This course centers on precision medicine research and is built upon the comprehensive required curriculum of the post-baccalaureate medical program. It aims to train students to apply big-data analytical techniques to precision oncology research and to translate basic medical knowledge into clinically translatable cancer research outcomes, with emphasis on research design, clinical interpretation, ethics and regulations, academic writing, and scientific communication.

Integration and application of basic medical sciences: the course deeply integrates required knowledge from anatomy (tumor anatomical structures), physiology (cancer pathophysiological mechanisms), biochemistry (tumor metabolic reprogramming pathways), and immunology (tumor immune microenvironment). Through large-scale analyses of cancer transcriptomics, proteomics, and metabolomics, students will learn to develop multidimensional integrative research models spanning molecular levels to the tumor microenvironment. Combined with pathological principles of tumor grading and staging, the course supports precise molecular subtyping of cancers, prognostic prediction, and assessment of treatment response.

Clinical translational linkage: the course places special emphasis on the ability to translate basic tumor research findings into clinical applications. By integrating pharmacological mechanisms of anticancer drugs with clinical practice knowledge from medical oncology and surgical oncology, students will learn to use database-derived data to evaluate anticancer efficacy and to develop promising personalized cancer treatment strategies.
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
Centered on precision medicine, this course integrates students' knowledge from required subjects—including Anatomy, Physiology, Biochemistry, Immunology, Pathology, Pharmacology, and Internal Medicine & Surgery—into practical skills for precision oncology research design, data analysis, and clinical translation. The objective is to cultivate students who can communicate within multidisciplinary teams, design and execute high-quality oncology research, and ultimately produce publishable academic work.
2.具備醫學知識
4.從工作中學習及成長
5.專業素養
30
40
30
專題探討/製作
習作
討論
實習
講授
書面報告
出席狀況
口頭報告
作業
作品
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 Academic Applications of Precision Medicine Big Data Platforms
第2週 Exploring the Clinical Diagnostic Potential of Genes (Overall Clinical Population)
第3週 Exploring the Clinical Diagnostic Potential of Genes (Considering Different Clinical Populations) (I)
第4週 Exploring the Clinical Diagnostic Potential of Genes (Considering Different Clinical Populations) (II)
第5週 Exploring the Clinical Prognostic Value of Genes (Overall Clinical Population)
第6週 Exploring the Clinical Prognostic Value of Genes (Considering Different Clinical Populations)
第7週 Exploring the Clinical Prognostic Value of Genes (Considering Tumor Immunology)
第8週 Mid-term Project Presentation
第9週 Exploring Genes as Therapeutic Targets (Pharmacogenomics) (I)
第10週 Exploring Genes as Therapeutic Targets (Pharmacogenomics) (II)
第11週 Exploring Genes and the Tumor Microenvironment: Displaying Heatmaps and Presenting Correlation Scatter Plots (I)
第12週 Exploring Genes and the Tumor Microenvironment: Displaying Heatmaps and Presenting Correlation Scatter Plots (II)
第13週 Exploring Molecular Mechanisms: Co-expressed Gene Clusters and Functional Enrichment Analysis
第14週 Abstract Writing and Poster Creation (I)
第15週 Abstract Writing and Poster Creation (II)
第16週 Final Project Presentation
自主學習
內容
   02.閱覽產業及學術相關多媒體資料
   03.製作專題報告

學習評量方式
(1) Assessment for this course will be based on a midterm report and a final report.
(2) Grading: midterm report 40%, final report 40%, regular attendance and participation 20%.
教科書&參考書目(書名、作者、書局、代理商、說明)
Online Bioinformatics & Data Analysis Tools:
http://ualcan.path.uab.edu/cgi-bin/ualcan-res-mir.pl
https://www.proteinatlas.org/
https://kmplot.com/analysis/
https://tnmplot.com/analysis/
http://www.linkedomics.org/login.php
課程教材(教師個人網址請列在本校內之網址)
Instructor-prepared course materials are available for download on iLearning.
課程輔導時間
Please contact the instructor to schedule an appointment.
聯合國全球永續發展目標(連結網址)
03.健康與福祉提供體驗課程:N
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更新日期 西元年/月/日:2025/09/01 14:49:36 列印日期 西元年/月/日:2025 / 9 / 14
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