資源管理利用学概論

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)

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)

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:

  1. Brief introduction of fishery population assessment and management
  2. 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)
  3. 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)
  4. 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