MK549 Data Processing Techniques in Mechanical Engineering

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code MK549
Name Data Processing Techniques in Mechanical Engineering
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

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