課程資訊
課程名稱
高等生物科技特論(二)
Selected topics in advanced biotechnology (II) 
開課學期
104-2 
授課對象
生物科技研究所  
授課教師
陳仁治 
課號
Biot8020 
課程識別碼
642ED0220 
班次
02 
學分
全/半年
半年 
必/選修
選修 
上課時間
星期二2,3,4(9:10~12:10) 
上課地點
 
備註
本課程以英語授課。上課地點:生技大樓R415與林詩舜合開
限博士班 且 限本系所學生(含輔系、雙修生)
總人數上限:5人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1042Biot8020_02 
課程簡介影片
 
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課程概述

MICROBIAL BIOTECHNOLOGY IS INHERENTLY MULTIDISCIPLINARY-RELYING UPON CONTRIBUTIONS FROM ECOLOGY, EVOLUTION, BIOCHEMISTRY, GEOSCIENCES, ENVIRONMENTAL ENGINEERING, PUBLIC HEALTH, ETC. THIS COURSE FOCUSES ON THE VAST ARRAY OF APPLICATIONS IN MICROBIOLOGY. INVITED SPEAKERS WILL CONTRIBUTE LECTURES THAT DESCRIBE THE BACTERIAL GENETICS AND TECHNIQUES FOR MOLECULAR ENGINEERING AS WELL AS THEIR APPLICATIONS IN MEDICINE, AGRICULTURE, INDUSTRY, ENERGY, AND THE ENVIRONMENT. 授課教師:劉啟德、劉?睿、 林長平、曾顯雄、劉瑞芬、林詩舜、郭瑞庭、許元勳

FOR THE BIOINFORMATICS AND APPLICATION FIELD, WE WILL GIVE AN OVERVIEW OF THE EXISTING TYPES OF HIGH THROUGHPUT PLATFORMS INCLUDING NEXT GENERATION SEQUENCING, MICROARRAY TECHNOLOGY, PROTEOMICS, AND METABOLOMICS ANALYSIS. THE COURSE WILL ALSO INTRODUCE THE CURRENT METHODS, MODELS AND DISCRETE ALGORITHMIC ANALYSES APPLIED TO THESE DATA. THE COURSE WILL PROVIDE AN OVERVIEW OF THE BIOLOGICAL DATABASES. WE WILL ALSO GIVE THE INTRODUCTION OF PATENT APPLICATION RELATED TO THE BIOTECHNOLOGY STUDIES. 授課教師:蔡孟勳、施明哲、呂美嬿、陳逸然、丁詩同、呂劭凡

COURSE OUTLINE IN MICROBIAL BIOTECHNOLOGY
1. BIOENERGY AND BIOFUELS
2. FOOD, BEVERAGE, AND FEED PROCESSING
3. AGRICULTURAL SCIENCES AND AGRONOMICS
4. NANOBIOTECHNOLOGY
5. SYNTHETIC BIOLOGY AND GENOME ENGINEERING
6. BIOREMEDIATION
7. BIOMATERIALS: BIOPLASTICS, BIOFILMS
8. INDUSTRIAL ENZYMES
9. BIOCONTROL AND HOST–MICROBE INTERACTION

COURSE OUTLINE IN BIOINFORMATICS
1. INTRODUCTION OF GENOMICS
2. NGS DATA ANALYSIS
3. INTRODUCTION OF TRANSCRIPTOME
4. MICROARRAY DATA ANALYSIS
5. INTRODUCTION OF PROTEOMICS AND METABOLOMICS
6. PROTEOMICS AND METABOLOMICS
7. BIOLOGICAL DATABASES
8. BIOTECHNOLOGY RELATED PATENT
 

課程目標
 
課程要求
FUNDAMENTAL KNOWLEDGE OF MICROBIOLOGY AND BIOCHEMISTRY 
預期每週課後學習時數
 
Office Hours
 
參考書目
 
指定閱讀
 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
無資料