BL5826 Sustainable Aquaculture: Production Systems and Management
Academic year
2025 to 2026 Semester 1
Curricular information may be subject to change
Further information on which modules are specific to your programme.
Key module information
SCOTCAT credits
15
SCQF level
SCQF level 11
Availability restrictions
Available only to those admitted to study Sustainable Aquaculture programmes or modules online
Planned timetable
N/A
Module Staff
Mr Akpojotor Ekpeki, Dr Neil Hazon, Dr Jonathan David
Module description
This module provides advanced knowledge of modern aquaculture production and practices, such as ponds, tanks, raceways, RAS, cages and offshore. Environmental, social and economic sustainability of aquaculture depends on an understanding of the interactions of differing but complementary management structures. This module will address the particular important component of production management, and a detailed consideration of factors which contribute to successful management of such production systems such as feed conversion efficiency, stocking density and the provision of larvae and juveniles in sufficient number and quality to maximise production efficiency.
Assessment pattern
Coursework - 100%
Re-assessment
Coursework - 100%
Learning and teaching methods and delivery
Weekly contact
self-paced with some guidance 1 lecture (recording) per week (10 weeks) 1 tutorial (synchronous) linked to topics 1-4 (4 weeks) 1 seminar (synchronous) linked to topics 1 & 2 (2 weeks) 1 practical (recorded, guided worksheet) linked to topics 3 & 4 (2 weeks)
Scheduled learning hours
18
Guided independent study hours
130
Intended learning outcomes
- Describe the diversity of cultured aquatic species, production systems and regions.
- Analyse different types of production systems in terms of suitability for specific scenarios.
- Understand the key principles of water quality parameters, monitoring and management.
- Design a production system and management plan for a specific culture species.
- Develop proper record keeping plans and procedures for a specific production system.
- Demonstrate relevant data analysis skills for management and decision support.