About this course

The coursecovers basic theory in Food Technology, such as mass- and energy balances, heat transport and process control. In addition, the course covers important unit operations like pasteurization, sterilisation, heating, cooling, freezing and filtration. In addition the course will briefly cover bioprocessing of food with enzymes and microorganisms (fermentation).

The course sheds light on UN Sustainable Development Goal 12: Responsible consumption and production.

Learning outcome

Knowledge

The students should:

  • know what food processing is and why it is done
  • have basic knowledge about unit operations
  • know how different feedstocks are converted to products
  • know how microorganisms affect food, and how they may be controlled

Skills

The student should:

  • be able to do simple calculations (mass- and energy-balances) and evaluations of different unit operations
  • be able to calculate the effects of heat treatment on microoorganisms

General competence

The student should:

  • evaluate processing of all types of organic material
  • comminicate different processing topics, both in writing and orally
  • have a solid foundation for further studies in processing of food or other types of biomass

  • Learning activities

    Lectures, calculation exercises, compulsory semester assignment.

  • Teaching support

    Canvas. kenneth.aase.kristoffersen@nmbu.no

  • Syllabus

    The curriculum will be made available at the start of the semester.

  • Prerequisites

    Knowledge of mathematics corresponding to MATH100.

    Knowledge of chemistry corresponding to KJM100 (can be taken in the same semester).

  • Recommended prerequisites

    Knowledge of food production corresponding to MVI100.

  • Assessment method

    Overall assessment: Portfolio (40 %) and final written examination, 3,5 hours (60 %).

    School exam Karakterregel: Letter grades Hjelpemiddel: B1 Calculator handed out, no other aids Portfolio Karakterregel: Letter grades

  • About use of AI

    Written exam: K1- No use of AI

    Compulsory 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

    An external examiner must approve the evaluation arrangements for the course.

  • Mandatory activity

    The first lecture is mandatory. The students complete a written group assignment that is handed in.

  • Teaching hours

    Lectures 2 hours weekly for 13 weeks. Mathematical exercises

  • Preferential right

    B-MAT, M-MATVIT

  • Admission requirements

    Special requirements in Science