課程名稱 |
生物系統模擬 Biological Modeling |
開課學期 |
104-2 |
授課對象 |
生命科學院 生態學與演化生物學研究所 |
授課教師 |
謝志豪 |
課號 |
OCEAN5074 |
課程識別碼 |
241 U3040 |
班次 |
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學分 |
3 |
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 |
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備註 |
上課地點: 計中212教室與王慧瑜、沈聖峰合開 總人數上限:30人 |
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1042BioModel |
課程簡介影片 |
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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 |
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Office Hours |
另約時間 |
指定閱讀 |
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參考書目 |
A Primer of Ecology (4th edition) Nicholas J. Gotelli |
評量方式 (僅供參考) |
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週次 |
日期 |
單元主題 |
Week 1 |
2/26 |
Introduction to programming and modeling |
Week 2 |
3/04 |
Review of ODE analysis and modeling: species interactions |
Week 3 |
3/11 |
Alternative stable state and On and off of cell cycle |
Week 4 |
3/18 |
Life history theory and modeling |
Week 5 |
3/25 |
Age-structured models: yield-per-recruit, Virtual Population Analysis |
Week 6 |
4/01 |
Holiday |
Week 7 |
4/08 |
Individual-based modeling (1) (1-page proposal due) |
Week 8 |
4/15 |
Individual-based modeling (2) |
Week 9 |
4/22 |
Introduction to evolutionary model and optimization |
Week 10 |
4/29 |
Evolutionary game theory |
Week 11 |
5/06 |
Stochastic Process in Evolutionary Models |
Week 12 |
5/13 |
Self-consistent model in evolution |
Week 13 |
5/20 |
Adaptive dynamics |
Week 14 |
5/27 |
Analyzing ecological chaos |
Week 15 |
6/03 |
Modeling climate change (HC Kuo) |
Week 16 |
6/10 |
Holiday |
Week 17 |
6/17 |
Project presentations |
Week 18 |
6/24 |
Project presentations |
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