About this course

Aquaculture is an important economic activity across Europe. Although projections from the Food and Agriculture Organization (United Nations) suggest continued growth in the coming decades, fish farming faces challenges related to infectious diseases, environmental conditions and access to novel feed sources. To contribute to solving these problems, immunonutritional strategies have gained interesting relevance in recent years, since they combine (in a holistic approach) aspects of fish health, welfare and nutrition, in addition to environmental sustainability.

Thus, through both theoretical classes and laboratory sessions, this NOVA course will focus on:

Diet formulation

Feed production and pellet quality

Fish performance

Fish immunology

Microbiota characterization

Learning outcome

At the end of the course, the students will acquire theoretical knowledge and practical experience related to diet formulation, feed production and pellet quality, fish performance, fish immunology and microbiota characterization.

  • Learning activities

    Theoretical Classes and Lab work

  • Syllabus

    Aquaculture: Enhancing Food Security and Nutrition

    Textbook | 2025

    Editors:Imtiaz Ahmed, Ishtiyaq Ahmad

    available in: link.springer.com/book/10.1007/978-3-031-92858-1

    Principles of Fish Immunology

    Textbook | 2022

    Editors Kurt Buchmann, Christopher J. Secombes

    available in: https://link.springer.com/book/10.1007/978-3-030-85420-1

    The Fish Microbiota: Research Progress and Potential Applications

    Review | 2023

    Luan, Y., et al.

    available in: https://doi.org/10.1016/j.eng.2022.12.011

  • Recommended prerequisites

    Background in Fish Biology, Aquaculture, Fish Nutrition or Fish Immunology

  • Assessment method

    Oral Presentation at the end of the course its impact on the progress of the student's project.

    Oral presentation Grading: Passed / Not Passed Permitted aids: C3 All types of calculators, all other aids – including digital aids

  • About use of AI

  • Preferential right

    PhD students only.