課程資訊
課程名稱
 生物資訊學特論
SPECIAL TOPIC IN BIOINFORMATICS 
開課學期
 97-2 
授課對象
 生物資源暨農學院  生物統計學組  
授課教師
 劉力瑜 
課號
 Agron8011 
課程識別碼
 621 D1740 
班次
  
學分
 3 
全/半年
 半年 
必/選修
 選修 
上課時間
 星期一6,7,8(13:20~16:20) 
上課地點
 生統教室 
備註
 總人數上限：10人 
  
課程簡介影片
 
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課程概述

MANY CHANCE MECHANISMS SUCH AS STOCHASTIC PROCESSES ARE INVOLVED IN THE CREATION OF BIOLOGICAL DATA. FOR INSTANCE, BIOLOGICAL EVOLUTION OVER EONS HAS PROVIDED THE OUTCOME OF ONE OF THE MOST COMPLEX STOCHASTIC PROCESSES IMAGINABLE, AND ONE THAT REQUIRES COMPLEX STOCHASTIC PROCESS THEORY FOR ITS DESCRIPTION AND ANALYSIS. THIS COURSE AIMS TO INTRODUCE THE PROBABILITY THEORY, STATISTICS, AND STOCHASTIC PROCESS THEORY APPROPRIATE TO COMPUTATIONAL BIOLOGY AND BIOINFORMATICS. THERE FOLLOWS THE STOCHASTIC PROCESS THEORY BEHIND THE CALCULATIONS USED IN BLAST (BASIC LOCAL ALIGNMENT SEARCH TOOL), WHICH IS IN ONE OF THE MOST FREQUENTLY USED ALGORITHM IN BIOINFORMATICS. 

課程目標
 (1)INTRODUCTION TO PROBABILITY THEORY AND STATISTICAL INFERENCE
(2)ESTIMATION AND HYPOTHESES TESTING THEORY
(3)STOCHASTIC PROCESSES (I): POISSON PROCESSES
(4)THE ANALYSIS OF ONE DNA SEQUENCE
(5)THE ANALYSIS OF MULTIPLE DNA OR PROTEIN SEQUENCES
(6)STOCHASTIC PROCESSES (II): RANDOM WALKS
(7)BLAST
(8)STOCHASTIC PROCESSES (III): MARKOV CHAINS
(9)HIDDEN MARKOV MODELS
(10)GENE EXPRESSION, MICROARRAYS AND MULTIPLE TESTING
(11)EVOLUTIONARY MODELS
(12)PHYLOGENETIC TREE ESTIMATION
 
課程要求
  
預期每週課前或/與課後學習時數
  
Office Hours
  
指定閱讀
  
參考書目
 STATISTICAL METHODS IN BIOINFORMATICS, 2ND ED. (2005). EDITED BY WARREN J. EWENS AND GREGORY R. GRANT. 
評量方式
(僅供參考)
  
  1. 本校尚無訂定 A+ 比例上限。
  2. 本校採用等第制評定成績，學生成績評量辦法中的百分制分數區間與單科成績對照表僅供參考，授課教師可依等第定義調整分數區間。詳見學習評量專區 (連結)。
 
課程進度
週次
日期
單元主題
無資料