GMÜ640 - SEPARATION TECHNIQUES IN FOOD ENGINEERING I
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| SEPARATION TECHNIQUES IN FOOD ENGINEERING I | GMÜ640 | Any Semester/Year | 3 | 0 | 3 | 7 |
| Prequisites | ||||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Discussion Drill and Practice Problem Solving | |||||
| Instructor (s) | Department academic staff | |||||
| Course objective | To build skill in developing engineering unit operations and analysis. To build skill in applying physical separation techniques. | |||||
| Learning outcomes |
| |||||
| Course Content | Filtration, membrane separation, sedimentation and centrifugal separation, adsorption and ion-exchange, adsorption isotherms and kinetics | |||||
| References | Excel for Engineers and Scientists (S.C. Bloch) | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Basic equations of fluid dynamics |
| Week 2 | Basic equations of fluid dynamics (continue) |
| Week 3 | Filtration techniques |
| Week 4 | Cake filtration model |
| Week 5 | Resistance analysis |
| Week 6 | Membrane separation techniques |
| Week 7 | Flux decline models |
| Week 8 | Midterm exam |
| Week 9 | Adsorption process |
| Week 10 | Ion exchange process |
| Week 11 | Adsorption isotherms |
| Week 12 | Adsorption kinetics |
| Week 13 | Settling and sedimentation |
| Week 14 | Centrifugical separation |
| Week 15 | Preparation for final exam |
| Week 16 | FINAL EXAM |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 10 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 4 | 20 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 1 | 30 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 0 | 50 |
| Percentage of final exam contributing grade succes | 0 | 50 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 3 | 42 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework assignment | 4 | 10 | 40 |
| Midterms (Study duration) | 1 | 36 | 36 |
| Final Exam (Study duration) | 1 | 40 | 40 |
| Total Workload | 34 | 92 | 200 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 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