GMÜ630 - THERMAL PROCESSING

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
THERMAL PROCESSING GMÜ630 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
Problem Solving
 
Instructor (s)Department academic staff 
Course objectiveTo teach students the basic principles of thermal processes used in food protection, the sterilization evaluation methods, the determination of the thermal resistances of microorganisms and their evaluation methods.  
Learning outcomes
  1. At the end of this course, the student will learn to apply basic knowledge of thermal processes used in food protection, the sterilization evaluation methods, the determination of the thermal resistances of microorganisms and their evaluation methods.
Course ContentBasic principles of thermal processing for food preservation. Modes of heat transfer in foods and effective factors. Cold point. Heat penetration curves. Thermal resistance of microorganisms. Methods to calculate sterilisation value; mathematical methods, general method, addition and nomogram methods. Continuous and batch sterilization.  
ReferencesGıda Mühendisliğinde Sterilizasyon, Şahbaz, F., Cemeroğlu, B., Acar, J., 1996, 2nd, Ankara, H.Ü. Müh. Fak.Yayınları.
Introduction to Engineering, P.Singh, D.R.Heldman, 3rd Rd., Academi Press.
Fundamentals of Food Process Engineering, R.T. Toledo, 1991, 2nd ed, Van Nastnord Reinhold, New York.
 

Course outline weekly

WeeksTopics
Week 1Basic principles of thermal processing for food preservation
Week 2Modes of heat transfer in foods and effective factors
Week 3Cold point
Week 4Heat penetration curves
Week 5Thermal resistance of microorganisms
Week 6Methods to calculate sterilisation value
Week 7Midterm exam
Week 8Mathematical methods
Week 9Mathematical methods
Week 10General method
Week 11Addition methods
Week 12Nomogram methods
Week 13Continuous sterilization
Week 14Batch sterilization
Week 15Preparation for final exam
Week 16FINAL EXAM

Assesment methods

Course activitiesNumberPercentage
Attendance100
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments220
Presentation00
Project00
Seminar00
Midterms130
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)14342
Presentation / Seminar Preparation000
Project000
Homework assignment21326
Midterms (Study duration)14040
Final Exam (Study duration) 16060
Total Workload32119210

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