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Information
| Code | MK549 |
| Name | Data Processing Techniques in Mechanical Engineering |
| Term | 2022-2023 Academic Year |
| Semester | . Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator |
Course Goal / Objective
Provide insight into methods and tools for analysis and processing of the data generated in ME
Course Content
Structure of Data Processing Systems. Statistical analysis of data. Numeric data. Statistical models for data processing.
Course Precondition
None
Resources
Course notes
Notes
Course notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | explain basic terms in the area of Information Systems development and management, |
| LO02 | Have detailed information about data analysis methods used in flow analysis. |
| LO03 | group database management systems according to their purpose, and give an insight into the statistical methods of data analysis and prediction. |
| LO04 | Give an insight into the statistical methods of data analysis and prediction. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Understands and applies basic sciences, mathematics and engineering sciences at a high level. | 5 |
| PLO02 | Beceriler - Bilişsel, Uygulamalı | He/she has extensive and in-depth knowledge, including the latest developments in his/her field. | 4 |
| PLO03 | Bilgi - Kuramsal, Olgusal | They reach the latest information in a field and have a high level of proficiency in the methods and skills necessary to comprehend and research them. | 2 |
| PLO04 | Yetkinlikler - Öğrenme Yetkinliği | They carry out a comprehensive study that brings innovation to science and technology, develops a new scientific method or technological product/process, or applies a known method to a new field. | 3 |
| PLO05 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Independently perceives, designs, implements and concludes an original research process; manages this process. | 3 |
| PLO06 | Yetkinlikler - Alana Özgü Yetkinlik | Contributes to the science and technology literature by publishing the outputs of its academic studies in respected academic environments. | 3 |
| PLO07 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Evaluates scientific, technological, social and cultural developments and conveys them to the society with the awareness of scientific impartiality and ethical responsibility. | 4 |
| PLO08 | Belirsiz | Performs critical analysis, synthesis and evaluation of ideas and developments in the field of expertise. | |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Communicates effectively, both verbally and in writing, with those working in the field of specialization and the wider scientific and social community, communicating and discussing at an advanced level of written, oral and visual communication using a foreign language at least at the C1 General Level of the European Language Portfolio. | 4 |
| PLO10 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Carries out literature search |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to data processing techniques | Course Notes | Öğretim Yöntemleri: Anlatım |
| 2 | Applications in ME | Course Notes | Öğretim Yöntemleri: Anlatım |
| 3 | Particle image velocimetry | Course Notes | Öğretim Yöntemleri: Anlatım |
| 4 | Displacement, velocity, turbulence and vorticity calculation | Course Notes | Öğretim Yöntemleri: Anlatım |
| 5 | Calculation of velocity field and missing vectors | Course Notes | Öğretim Yöntemleri: Anlatım |
| 6 | Calculation of turbulence statistics | Course Notes | Öğretim Yöntemleri: Anlatım |
| 7 | Türbülans istatistiklerinin hesabı 2 | Course Notes | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Course Notes | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Calculation of streamlines | Course Notes | Öğretim Yöntemleri: Anlatım |
| 10 | Interpretation of flow using streamlines | Course Notes | Öğretim Yöntemleri: Anlatım |
| 11 | Visualization of flow characteristics | Course Notes | Öğretim Yöntemleri: Anlatım |
| 12 | Visualization of flow characteristics 2 | Course Notes | Öğretim Yöntemleri: Anlatım |
| 13 | Application in the field | Course Notes | Öğretim Yöntemleri: Anlatım |
| 14 | Application in the field 2 | Course Notes | Öğretim Yöntemleri: Anlatım |
| 15 | Application in the field 3 | Course Notes | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | Course Notes | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Course Notes | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||