基本素養 Basic Literacy
無核心能力 Competence
■ 培養臨床藥學及基礎藥學專業知識及技能
Nurture clinical medicine and basic pharmacy knowledge and techniques.
■ 訓練學生邏輯思考及解決問題之能力
Logical thinking training and problem-solving ability.
□ 提昇藥學科學及高等生物科技等相關知識及技能
Enhance medicine science and advanced biology technology knowledge and techniques.
□ 培養藥物發展、製藥科技、醫藥法規與臨床研究相關知識及技能
Cultivate medicine development, pharmaceutical technology, medicine rules, and clinical research knowledge and techniques.
課程概述 Course Description
本課程探討估算藥動學參數之曲線吻合技巧與相關之線性及非線性迴歸原理, 並介紹常用之市售藥動學應用軟體。課程學習目標 Course Objectives
課程進度 Progress Description
進度說明 Progress Description | |
---|---|
1 | The Art and Philosophy of Modeling |
2 | General Modeling Method |
3 | Linear and Nonlinear Models and Regression |
4 | Structure Models- PK/PD Models and Concepts |
5 | Numerical Integration of Differential Equation |
6 | Workshop 1: Berkeley Madonna Hands-on |
7 | Obtaining Good Initial Parameter Estimates |
8 | Optimization and Minimization Algorithm |
9 | Variance Models- Considerations on Weighting |
10 | Output Evaluation- Assessing Goodness-of-Fit |
11 | Workshop 2: WinNonlin Hands-on |
12 | Model Selection and Discrimination |
13 | D-Optimal Experimental Design |
14 | Introduction to R and RStudio |
15 | Nonlinear Mixed Effect Modeling-1 |
16 | Nonlinear Mixed Effect Modeling-2 |
17 | Workshop 3: NONMEM and Monolix Demo |
18 | Exam |
以上每週進度教師可依上課情況做適度調整。The schedule may be subject to change.
有關課程其他調查 Other Surveys of Courses
1.本課程是否規劃業界教師參與教學或演講? 否Is there any industry specialist invited in this course? How many times? No
2.本課程是否規劃含校外實習(並非參訪)? 否
Are there any internships involved in the course? How many hours? No