課程資訊
課程名稱
生醫與農業科技專討 II
Agro-Biomedical Science Laboratory Seminar II 
開課學期
108-2 
授課對象
醫學院  國際三校農業生技與健康醫療碩士學位學程  
授課教師
 
課號
Gipntu7020 
課程識別碼
459 M0200 
班次
 
學分
1.0 
全/半年
半年 
必/選修
選修 
上課時間
星期一2(9:10~10:00) 
上課地點
 
備註
上課地點另議。欲修課同學需先與授課教師聯繫
限本系所學生(含輔系、雙修生)
總人數上限:15人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1082Gipntu7020_ 
課程簡介影片
 
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課程概述

In this course, students attend seminars provided by 10 invited speakers, and read research articles related to Food and Health, thoroughly understanding their research objectives, methodologies and results, then discuss the significance of the studies, problem areas, and remaining areas for further study. In some cases, it may be possible for students to similarly approach Innovation-related issues in another form than academic article. The instructors from National Taiwan University will nurture the expertise of Health and Food sciences, and the ability to find and solve the problems in Asian society and nature. 

課程目標
1.To be able to survey the research topics of instructors in Master’s program in Agro-Biomedicine.
2.To be able to select the appropriate articles for their reading through use of major scientific publications and online search systems from available recent publications in the field.
3.To be able to read and understand the selected articles, and summarize them to other students within a set allotment of time.
4.To be able to listen and understand article presentations made by other students and discuss the significance of the research and any points of uncertainty that arise from it.
5.To be able to describe/explain the significance of each article from the standpoint of Agro-Biomedical Science. 
課程要求
For 2nd semester Master’s program in Agro-Biomedicine (GIP-TRIAD). To register in this course, please first contact the main instructor. 
預期每週課後學習時數
 
Office Hours
 
指定閱讀
待補 
參考書目
Assign by individual instructors 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
第1週
  No lecture 
第2週
  Course Introduction (Dr. Tang-Long Shen) 
第3週
  TBA 
第4週
  Biomarker discovery in liquid biopsy for cancer detection (TLS)