GMÜ624 - FOOD PRESERVATION METHODS

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
FOOD PRESERVATION METHODS GMÜ624 Any Semester/Year 3 0 3 7
Prequisites
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Question and Answer
Other: Seminar  
Instructor (s)Department academic staff 
Course objectiveInformation about conventional food preservations methods, novel technologies in food preservations 
Learning outcomes
  1. At the end of this course, the student will learn conventional and novel technologies in food processing .
Course ContentFood preservation techniques and their basic principles. Preservation of foods by heat treatments. Freezing, irradiation, high hydrostatic pressure, reverse osmosis and ultrafiltration techniques in food processing and preservation. Puls electric fields and puls light and other novel technologies in food processing. 
ReferencesArticles 

Course outline weekly

WeeksTopics
Week 1Basic principles in food preservation
Week 2Introduction to conventionel food preservation
Week 3Thermal processing, Freezing
Week 4Ohmic heating
Week 5Minimum processed foods, edible packing
Week 6High hidrostatic pressure
Week 7Midterm
Week 8Supercritical carbondioxid processing
Week 9Pulsed electricfield processing
Week 10Pulsed light processing
Week 11Membran processes
Week 12Enzyms and microorganisims in food processing
Week 13Ultrasound processing
Week 14UV and irradiation, IR processing
Week 15Preparation for final exam
Week 16FINAL EXAM

Assesment methods

Course activitiesNumberPercentage
Attendance100
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments00
Presentation230
Project00
Seminar00
Midterms120
Final exam150
Total100
Percentage of semester activities contributing grade succes050
Percentage of final exam contributing grade succes050
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)236
Presentation / Seminar Preparation22346
Project000
Homework assignment000
Midterms (Study duration)13030
Final Exam (Study duration) 15050
Total Workload20109174

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. The graduates have acquired extensive and profound knowledge from the scientific work being carried out in their field. They are able to evaluate data critically and to draw conclusions from it.   X 
2. The graduates have understanding of applicable techniques and methods and their limits.   X 
3. They are aware of new developments in their field and familiarise themselves with new tasks systematically and without taking too long.  X  
4. The graduates are able to formulate engineering problems and find solutions which require very considerable competence as far as methods are concerned.   X 
5. The graduates are able to develop new and/or original idea and methods and apply innovative methods in solving the products or processes design problems.  X  
6. The graduates have ability to use their powers of judgment as engineers in order to work with complex and possibly incomplete information, to recognise discrepancies and to deal with them.   X 
7. The graduates are able to understand the impact of engineering solutions in an environmental and societal context.X    
8. - The graduates have ability to design and implement the analytical modelling and experimental research, and deal with complexity and evaluate data critically.X    
9. The graduates have ability to understand professional, social and ethical responsibility and to act responsibly in the collection, integration, analysis, interpretation and communication of data.  X  
10. The graduates have made a contribution through the written or oral presentation of original research results in the national and international scholarly community.   X  

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest