課程資訊
課程名稱
資源評估模式:理論與實作
Advanced Quantitative Methods in Fisheries Stock Assessment 
開課學期
108-2 
授課對象
理學院  海洋生物及漁業組  
授課教師
張以杰 
課號
Ocean7178 
課程識別碼
241EM3860 
班次
 
學分
3.0 
全/半年
半年 
必/選修
選修 
上課時間
星期一2,3,4(9:10~12:10) 
上課地點
海研115 
備註
本課程以英語授課。
總人數上限:8人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1082Ocean7178_ 
課程簡介影片
 
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課程概述

This course is a complete review of advanced quantitative methods in fisheries stock assessment. Course covers introduction, decision analysis to evaluate alternative management actions, Bayesian state-space modelling, Meta-analysis, Integrated analysis, and Spatial modelling in stock assessment

Assessment models of biomass dynamics model, age-structured production model, and integrated stock assessment model (e.g., Stock Synthesis, SS) will be included. Student will be familiar with methods in fish population dynamics and stock assessment (e.g.., Bayesian posterior distribution, Markov Chain Monte Carlo, state-space modelling, etc.) and proficient in parameter estimation (e.g., unfished biomass, spawning biomass, MSY), as well as the uncertainty, of an exploited fish population, and evaluation of harvest restrictions for fisheries management problems by using various computer programs and tools (e.g., AD Model Builder [ADMB], WinBUGS/JAGS, SS).

The course draws examples from real fisheries in the world and provides student broad experiences of various fishery data and fish biology. The course is primarily for students of fisheries and marine ecology, but should also appeal to those interested in conservation ecology and advanced ecological modelling. 

課程目標
The main objective of the course was to become proficient with background and tools to conduct advanced stock assessment modelling for fisheries. Student will develop professional skills of data analysis, quantitative fish population modelling, and theory and implication of fish harvest management. Student will carry out fisheries data analysis, modelling, and interpretation on a regular basis throughout the course. The course expects student will develop their own model and application. Course will provide basic programming training by following the examples using Excel, R, ADMB, WinBUGS/JAGS. 
課程要求
Ocean 7176 Ecological Modeling for Conservation of Fisheries Resources is recommended (not required) prior to this course 
預期每週課後學習時數
 
Office Hours
 
參考書目
Haddon, M. 2001. Modelling and Quantitative Methods in Fisheries. Chapman and Hall, London, 406 pp.

F. Funk, T.J. Quinn II, J. Heifetz, J.N. Ianelli, J.E. Powers, J.F. Schweigert, P.J. Sullivan, and C.I. Zhang. 1998. Fishery Stock Assessment Models. Alaska Sea Grant College Program Report No. AK-SG-98-01, University of Alaska Fairbanks.

Millar, R.B. (2011) Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB. John Wiley & Sons, Hoboken, NJ, USA. 
指定閱讀
待補 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
第1週
3/02  Course opening & R programming-I 
第2週
3/16  R plotting-II & data manipulation-I 
第2週
3/09  R programming-II & R plotting-I 
第4週
3/23  no class
 
第5週
3/30  Data manipulation-II
 
第6週
4/07  Packages in R; moving average; barplot 
第7週
4/14  R function; simulation 
第8週
4/21  no class 
第9週
4/28  Multiple graphs and GIS mapping 
第10週
5/05  Multiple graphs and GIS mapping-II 
第11週
5/12  Nonlinear least squares method 
第12週
5/18   
第14週
6/01   
第15週
6/08