課程資訊
課程名稱
生物系統模擬
Biological Modeling 
開課學期
101-1 
授課對象
理學院  海洋生物及漁業組  
授課教師
謝志豪 
課號
OCEAN5074 
課程識別碼
241 U3040 
班次
 
學分
全/半年
半年 
必/選修
選修 
上課時間
星期五2,3,4(9:10~12:10) 
上課地點
計資212 
備註
與王慧瑜、沈聖峰合開
總人數上限:25人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1011bio_model 
課程簡介影片
 
核心能力關聯
本課程尚未建立核心能力關連
課程大綱
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課程概述

The course material is designed to be interdisciplinary, integrating biology, ecology, mathematics and environmental sciences. While the main course material is based on classic ecological modeling textbooks and articles, these analytic methods are applicable to multi-faceted research questions. The material builds from a single population and then extends to the ecosystem level, including species interaction, climate changes and disease as well as molecules interactions within cells. Regular modeling exercises are required (1 unit as practice). After equipped with modeling skills, students have to develop their own research questions and use modeling and data mining approaches to solve their questions. Instructors will guide students through the question-solving processes. 

課程目標
The goal of this course is to introduce mathematical and statistical approaches to study biological systems as well the interactions of abiotic and biotic components. This is a course for high level undergraduates and master students with basic knowledge of statistics, calculus, and ecology. We will start from very simple single species models and then move toward complex models. We will introduce various model types, building blocks of models, and the ways to construct models. In addition, techniques on the solution and stability of models will be introduced. We will teach computer languages to simulate and analyze these models as well as data. The course has a hands-on work component. Students will carry out modeling and data analysis exercises on a regular basis. Finally, students will develop their own model and applications. 
課程要求
Students will carry out modeling and data analysis exercises on a regular basis. Students need to make presentations of their homework. We will also teach the presentation skills. Finally, students will develop their own models and applications. For the final project, students need to first prepare and discuss their proposals with the instructors. Through the discussing processes students will develop constructive and logical thinking. 
預期每週課後學習時數
 
Office Hours
另約時間 
指定閱讀
 
參考書目
A Primer of Ecology (4th edition) Nicholas J. Gotelli 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
Week 1
9/14  Introduction to programing and modeling concepts 
Week 2
9/21  History of ecological modeling, exponential and logistic population growth 
Week 3
9/28  Discrete population growth and chaos, return map, stability analysis, numerical ODE 
Week 4
10/05  Age-structured population growth 
Week 5
10/12  Meta-population model 
Week 6
10/19  Introduction to evolutionary model and optimization 
Week 7
10/26  Evolutionary game theory
 
Week 8
11/02  Prof. Kuo's lecture I 
Week 9
11/09  Dynamic programming 
Week 10
11/16  Self-consistent model in evolution 
Week 11
11/23  Adaptative dynamics  
Week 12
11/30  Prof. Kuo's lecture II 
Week 13
12/07  Alternative stable state and on-and-off of cell cycle

 
Week 14
12/14  Individual-based models 
Week 15
12/21  Data analysis of chaotic systems, Lyapunov function, time-delay reconstruction 
Week 16
12/28  Project presentations 
Week 17
1/04  Project presentations