課程資訊
課程名稱
昆蟲生態學特論
Special Topics on Insect Ecology 
開課學期
108-2 
授課對象
生物資源暨農學院  昆蟲學研究所  
授課教師
 
課號
ENT5032 
課程識別碼
632 U0730 
班次
 
學分
2.0 
全/半年
半年 
必/選修
選修 
上課時間
 
上課地點
 
備註
建議先修過生態學課程。時間地點另訂。
總人數上限:6人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1082ENT5032 
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

This course is not restricted to students of entomology. Students from any departments can take this course. If unable to register online, please contact the instructor.

The instructor will email enrolled students about the first meeting (please check your NTU email account). In the first meeting, a meeting time and place for the semester will be sought that will be convenient for most or all of the students. Enrolled students who do not receive an email by 5 pm on Mar. 2 should contact the instructor. Students who are unable to register online or register after Mar. 2 should contact the instructor by email.

This is a special topic course, and thus the topic varies by semester. This semester (108-2), we will study models that are used to study selected topics of insect ecology. Specific topics that will be covered in the course will be decided in the first meeting by considering the interests of enrolled students.

Models dealt in the course are not statistical models. Students who are interested in statistical modelling (e.g., data analysis) may consider taking ENT5053 instead. However, depending on the need and interests of students, some statistical topics may also be discussed in the course.

To understand/study models, we may try to reproduce models in published studies. Any required skills (e.g., computer programming) will be taught in the course. No previous experience with modelling, computer programming, or mathematical analysis is needed.  

課程目標
Students completing this course will:
  • have a deep understanding of selected topics in insect ecology.
  • be able to read/understand scientific studies that use modelling approaches.
  • be able to build simple models for their own research projects.  
  • 課程要求
     
    預期每週課後學習時數
     
    Office Hours
     
    指定閱讀
     
    參考書目
     
    評量方式
    (僅供參考)
       
    課程進度
    週次
    日期
    單元主題