本課程教導學生如何在R統計語言中操作常用的漁業分析。對於每種分析方法亦提供了足夠的背景知識，以便使學生在應用方法時也瞭解其具體理論基礎。

課程中包含了不同漁業分析方法的源由和假設，並演示如何在R中進行實作。該課程包含漁業科學家常用的分析，亦包含漁業或生態領域研究生論文常用的分析。大多數的主題為入門級或中高級。

前三週對R統計語言進行介紹，為後續的漁業分析課程先建立基礎。第五周和第六週（Age Comparisons and Age Length Key）所介紹的方法將提供作為續課程所需的資料。線性回歸是許多漁業分析中的基礎統計方法，它會在第九週的體長體重關係課程來介紹。在第九週的線性回歸熟練後，將後續應在第十（Condition）、十二（Abundance from Depletion Data）和十三（Mortality Rate）週。非線性回歸將在第十四週的魚類成長分析中來介紹，之後將應用在第十五週的魚類加入量與產卵親魚量關係。剩餘生產模型將在第十六周來介紹。課程的最後一週（第十八週）為群組討論。

This course is a “how-to” guide for conducting common fisheries-related analyses in R. For each method, enough background information is provided so that the students are assured of the specific details of the implementation of the method.

Specific formulae and the assumptions of the method are described, along with a demonstration of how to perform the analysis in R. The analyses included in this course are commonly performed by practicing fisheries scientists and are also present in many graduate fisheries science or ecology courses. Most topics are covered at the introductory or intermediate level.

The first three weeks provide a minimal introduction to the R environment that builds a foundation for the remaining weeks on fisheries-specific analyses. Weeks 5 and 6 (Age Comparisons and Age Length Key) describe methods commonly used to provide data for topics in later weeks. Linear regression, a foundational statistical method in many fisheries-specific analyses, is introduced within the context of the Weight-Length Relationship in week 9. The linear regression material in week 9 should be mastered before weeks 10 (Condition), 12 (Abundance from Depletion Data), and 13 (Mortality Rates), which all utilize linear regression. Similarly, nonlinear regression is introduced within the context of analyzing Individual Growth in week 14 and is then used to examine the Stock-Recruit Relationship in week 15. The Surplus Production Model will be introduced in weeks 16. The course will be ended by a group discussion in week 18.