GMÜ755 - DESIGN and OPTIMISATION II
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| DESIGN and OPTIMISATION II | GMÜ755 | Any Semester/Year | 3 | 0 | 3 | 10 |
| Prequisites | ||||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Discussion Question and Answer Other: Homeworks | |||||
| Instructor (s) | Department academic staff | |||||
| Course objective | The objective of the course is to present tools and methodologies for performing system optimization in a multidisciplinary design context. Focus will be equally strong on all three aspects of the problem: (i) the multidisciplinary character of engineering systems, (ii) design of these complex systems, and (iii) tools for optimization. | |||||
| Learning outcomes |
| |||||
| Course Content | Equipment design. Single parameter equipment design. Optimization of operational parameters and economical analysis. General approach to multi-parameter equipment design. Distillation column, heat exchanger reactor etc. designs. | |||||
| References | Conservation of mass and energy, Transport Phenomena, Thermodynamic books. Process Plant Design, Bachurst ve Harker, McGraw Hill. Plant Design and Economics for Chemical Engineers, Timmerhaus, McGraw Hill. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Introduction to multidisciplinary system design optimization |
| Week 2 | Problem formulation |
| Week 3 | Modeling and simulation |
| Week 4 | Problem decomposition |
| Week 5 | Design and visualization |
| Week 6 | Numerical optimization I |
| Week 7 | Midterm exam |
| Week 8 | Sensitivity analysis |
| Week 9 | Genetic algorithms I |
| Week 10 | Genetic algorithms II |
| Week 11 | Multi-objective optimization I |
| Week 12 | Multi-objective optimization II |
| Week 13 | Post-optimality analysis |
| Week 14 | Approximation methods |
| Week 15 | Final exam preparation |
| 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 | 6 | 30 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 1 | 20 |
| 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) | 12 | 9 | 108 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework assignment | 6 | 10 | 60 |
| Midterms (Study duration) | 1 | 40 | 40 |
| Final Exam (Study duration) | 1 | 50 | 50 |
| Total Workload | 34 | 112 | 300 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Understands, determines and applies fundamental sciences, mathematics and engineerig sciences in an advanced level. | X | ||||
| 2. Has deeply and broadly knowledge about his/her field including latest developments. | X | ||||
| 3. Accesses the latest knowledge in an area and has advanced sufficiency about methods and skills required to search and comprehend it. | X | ||||
| 4. Percieves, designs, applies and concludes an original research process independently; manages this process. | X | ||||
| 5. Contributes to the science and technology literature by publishing his/her academic studies? outputs in notable academic platforms. | X | ||||
| 6. Performs a comprehensive study that brings innovation to science and technology, developes a new scientific method or technologic product/processor applies a known method to a newfield. | X | ||||
| 7. Evluates scientific, technological, social and cultural developments and transfers them to the public with scientific impartiality and ethical sense of responsibility. | X | ||||
| 8. Performs critical analysis, synthesis and evaluation about ideas and developments of his/her profession. | X | ||||
| 9. Effectively communicates written or orally with people working on his/her profession and broader scientific and social societies, communicates and discusses written, orally or visually in an advanced level by using a native language at least European Language Portfolio C1 general level. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest