About this course

The course will go through key processes for processing fish and shellfish. This includes methods for slaughtering, cooling and cutting in addition to processing methods such as freezing, salting, smoking, digging, raking, drying, heat treatment and production of oil /flour. Furthermore, preparation of production plans, construction of processing plants as well as design and choice of installations and machines will be reviewed. Throughout the course, the candidates themselves will plan a slaughter and processing facility of salmon. The planning includes development of production plans, process schedules and process descriptions, and simple floor plans. Systems for the utilization of by-products and waste / sewage treatment shall also be included.

Learning outcome

- Know the most central processes for fish processing.

- Have detailed knowledge of how the fish muscle itself is affected, and what this does with taste and durability of the muscle and last how this can be varied.

- Be able to prepare production plans for a fish processing plant, including the consumption of raw materials and the dispatch of finished products.

- Be able to design simple sketches and plans for the construction of a fish processing plant.

  • Learning activities

    The course is based on lectures, as well as a larger project assignment with individual supervision.

  • Teaching support

    The course teacher is available for support for the project assignment during working hours.

  • Syllabus

    A syllabus will be distributed at the beginning of the course.

  • Prerequisites

    Bachelor degree or equal in a relevant scientific area.

  • Assessment method

    Final written examination (3 hours): 50%, project thesis: 50 %. Both parts have to be approved for passing the course

    Project work Karakterregel: Letter grades Written exam Karakterregel: Letter grades Hjelpemiddel: A1 No calculator, no other aids

  • About use of AI

    Exam: K1 - no use of AI.

    Assignment: K3 - Full use of AI. Use of AI is permitted, but must be in line with the guidelines for the use of artificial intelligence (AI) at NMBU.

    Descriptions of AI-category codes.

  • Examiner scheme

    The external and internal examiner jointly prepare the exam questions and the correction manual. The external examiner reviews the internal examiner's examination results by correcting a random sample of candidates exams as a calibration according to the Department's guidelines for examination markings.

  • Notes

    The course is given in Norwegian, but may be given in English if needed. The project assignment may be written in Norwegian or English, and the exam will be given in Norwegian or English.

  • Teaching hours

    Lectures: 2 hours per week, totally 26 hours. Exercises and project work with instructions: 2 hours per week, totally 26 hours.

  • Admission requirements

    Bsc or similar