課程名稱 
量性科學 QUANTITATIVE SCIENCE 
開課學期 
991 
授課對象 
公共衛生學院 流預所生物醫學統計組 
授課教師 
陳秀熙 
課號 
EPM7121 
課程識別碼 
849 M0150 
班次 

學分 
2 
全/半年 
半年 
必/選修 
必修 
上課時間 
星期二A,B(18:25~20:10) 
上課地點 
公衛215 
備註 
初選不開放。初選不開放。限流病所生統組在職專班必修.其他系所組別學生欲選修者,應經授課老師同意.與戴 政、張淑惠合開 總人數上限：60人 


課程簡介影片 

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課程概述 
Quantitative science is a basic course for Master students who have been admitted to division of biostatistics, institute of epidemiology through parttimebased track. This course is particularly useful for those who are lacking of statistical or mathematical background before they are entertained by formal statistics. The course starts from the review of basic calculus, probability theory, linear matrix algebra, and other advanced topics such as differential equation. A series of lectures on the application of several important mathematical theorem to statistical estimation and will be given. These include the linkage between orthogonal property and independence, the illumination of score function in relation to first derivative, the likelihood function and maximum likelihood estimate, Taylor series for variance estimation, and Simpson rules for sample size estimation in survival studies. Practical examples on these topics will be designed and practiced by students during the course.

課程目標 
Quantitative science is a basic course for Master students who have been admitted to division of biostatistics, institute of epidemiology through parttimebased track. This course is particularly useful for those who are lacking of statistical or mathematical background before they are entertained by formal statistics. The course starts from the review of basic calculus, probability theory, linear matrix algebra, and other advanced topics such as differential equation. A series of lectures on the application of several important mathematical theorem to statistical estimation and will be given. These include the linkage between orthogonal property and independence, the illumination of score function in relation to first derivative, the likelihood function and maximum likelihood estimate, Taylor series for variance estimation, and Simpson rules for sample size estimation in survival studies. Practical examples on these topics will be designed and practiced by students during the course.

課程要求 

預期每週課後學習時數 

Office Hours 

參考書目 
Modeling the Dynamics of Life 
指定閱讀 

評量方式 (僅供參考) 

