資源管理利用学概論 北門担当分 2021年1月12,19日
This year, the course will cover the following subjects:
- Introduction of management strategy evaluation
- Example of management strategy evaluation
The class is given on-line (on-demand), and the course materials will be provided here at noon of Jan 12th.
資源動態・管理学(大学院) 2021年1月
This year, the course will cover the following subjects:
- Stock assessment and management methods
- Clustering approaches and their applications in fisheries science
The class is given on-line (on-demand), and the course materials will be provided on Jan 17th.
データサイエンス概論(大学院) 2021年1-2月
This year, the course will cover the following subjects:
- Stock assessment methods
- Clustering approaches and their applications in fisheries science
The class is given on-line (on-demand), and the course materials will be provided on Jan 29th.
- Likelihood theory and large sample inference
- Bayesian theory and hierarchical modelling
- Spare modelling with regularization and its Bayesian interpretation
- Cross-validation and bootstrap
- Model selection, averaging and ensembling
國立高雄科技大學 特別授業 “Sustainable Use of Marine Bioresources”
Course subtitle and lecture:
- Title: Fishery Population Assessment and Management
- Lecturer: Prof. Toshihide Kitakado (Tokyo University of Marine Science and Technology)
- Date: December 13, 2020, 9.00-16.30
- Place: Zoom
Goals:
- Students will learn statistical methods used in fisheries population assessment and management.
- Students will also learn basic programming skill using R etc. for population assessment and management
Classroom requirements:
- Please install R and some pre-announced libraries into your laptop before the lecture starts.
- Students may be requested to submit two reports (I will explain how to produce Rmarkdown reports in the class)
Course theme, schedule and description:
- Brief introduction of fishery population assessment and management
- Overview of population dynamics models
2.1 Age-aggregated models
2.2 Age-structured models
2.3 Statistical inference for population dynamics modelling
2.4 Computer exercises for population dynamics modelling using R (+alpha)
- Overview of management strategy evaluation (MSE)
3.1 Role of the management procedure (MP)
3.2 Performance evaluation of candidate MPs
3.3 Best practice of MSE
3.4 Computer exercises using R (+alpha)
- Wrap-up discussion
4.1 Advanced techniques used in population assessment
4.2 Wrap-up discussion: toward sustainable use of fishery resources in Taiwan and Japan
Evaluation method:
- Grading is based on the reports
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