GMÜ631 - FOOD PROCESSING MACHINERY

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
FOOD PROCESSING MACHINERY GMÜ631 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
Field Trip
Preparing and/or Presenting Reports
Case Study
Problem Solving
 
Instructor (s)Department academic staff 
Course objectiveEffect of foodcomponents and basicengineering principleson the selection of food machinery and equipment, process design and determination of process parameters, classification and introduction ofmachineryandequipmentused in food, packaging and packagingmachines, automation andsystem cleaning in food industry 
Learning outcomes
  1. At the end of this course, the students will get knowledge about food machinery and equipment used from raw material to end product, process parameters, basic engineering principles and practices used machinery selection.
Course ContentFood characteristics and process theory, hot water, steam and ice water production schemes, the procedures carried out at ambient temperature(raw material preparation, size reduction, mixing, forming, separation), heat treatment applications (boiling, pasteurization, sterilization, evaporation, extrusion, drying , baking, frying), heat removal processes (cooling, freezing),post-production processes (coating, packaging, filling), new technologies (irradiation, ohmic heating, IR heating ,microwave ,high pressure), system cleaning. 
ReferencesGıda Endüstrisi Makineleri (İ. Saldamlı, E. Saldamlı).
Food Processing Handbook (James G. Brennan).
Food Processing Technology (P. Fellows). 

Course outline weekly

WeeksTopics
Week 1Properties of foods and processing theory
Week 2Proses control
Week 3Raw material preparation machinery
Week 4Size reduction machinery
Week 5Mixing and forming machinery
Week 6Separation and concentration of food components
Week 7Irradiation
Week 8Midterm exam
Week 9Novel Technologies and principles
Week 10Heat processing machinery (pasteurisation, sterilisation, evaporation, extrusion)
Week 11Drying system and machinery
Week 12Heat processing by direct and radiated energy
Week 13Refrigerating systems andmachines
Week 14Post-production processes (packaging, filling and seal machines,system cleaning)
Week 15Preparation for final exam
Week 16FINAL EXAM

Assesment methods

Course activitiesNumberPercentage
Attendance100
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments210
Presentation220
Project00
Seminar00
Midterms130
Final exam140
Total100
Percentage of semester activities contributing grade succes060
Percentage of final exam contributing grade succes040
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)6318
Presentation / Seminar Preparation22040
Project000
Homework assignment21530
Midterms (Study duration)13535
Final Exam (Study duration) 14545
Total Workload26121210

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