OM044 Data Processing Techniques in Automotive Engineering

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

Information

Code OM044
Name Data Processing Techniques in Automotive Engineering
Term 2024-2025 Academic Year
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator


Course Goal / Objective

It is aimed to teach the fundamentals and programs related to the processing, analysis and efficient use of databases in Automotive Engineering applications.

Course Content

Basic information about data processing, importance of databases in engineering and business life, package programs related to data processing and analysis in engineering and sample applications related to automotive engineering

Course Precondition

there is no

Resources

Statistical Data Analysis with Package Programs Volume 1

Notes

there is no


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Obtains data from testing or measurement
LO02 Processes the data obtained
LO03 Analyzes and debugs the resulting data
LO04 Knows and uses database programs
LO05 Interprets and presents data
LO06 Creates equations and integrates data into those equations
LO07 Converts data into charts and tables


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Gains comprehensive knowledge about current techniques, methods, and their limitations applied in Automotive Engineering. 5
PLO02 Bilgi - Kuramsal, Olgusal Gains knowledge on entrepreneurship, sustainable development and innovation.
PLO03 Beceriler - Bilişsel, Uygulamalı Extends the knowledge gained at undergraduate and graduate level and applies it in the field of automotive engineering. 4
PLO04 Beceriler - Bilişsel, Uygulamalı Recognizes the techniques required for applications in the field of automotive technology and uses modern tools. 4
PLO05 Beceriler - Bilişsel, Uygulamalı Determines alternative solutions by making project planning and time management. 4
PLO06 Beceriler - Bilişsel, Uygulamalı Develops new and/or novel ideas and methods related to Automotive Engineering.
PLO07 Beceriler - Bilişsel, Uygulamalı Determines solution methods by integrating information from different fields with its own field by taking part in multi-disciplinary teams. 4
PLO08 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Collects, evaluates and interprets data using scientific methods. 5
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Solves complex problems independently, improving the abilities of analysis, synthesis, critical evaluation. 3
PLO10 Yetkinlikler - Öğrenme Yetkinliği Designs a process or a system using modern design methods and tools.
PLO11 Yetkinlikler - Öğrenme Yetkinliği Develops new and/or original ideas and methods in the field of Automotive Engineering; develops innovative solutions in system, part or process designs.
PLO12 Yetkinlikler - İletişim ve Sosyal Yetkinlik Communicates in at least one foreign language by effectively expressing her/his scientific knowledge in written and oral form.
PLO13 Yetkinlikler - Alana Özgü Yetkinlik Considers social, environmental, scientific and ethical values in the scientific research process. 2


Week Plan

Week Topic Preparation Methods
1 Data processing basics Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap
2 Data processing basics 2 Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap
3 The importance of databases in engineering and business life Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap
4 Package programs related to data processing and analysis in engineering Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
5 Automotive Engineering case studies Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Alıştırma ve Uygulama, Gösterip Yaptırma
6 Presentation of data in graphs and diagrams and applications Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
7 Presentation of data in graphs and diagrams and applications 2 Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Alıştırma ve Uygulama, Gösterip Yaptırma
8 Midterm exam Read the related topics in the lecture notes and reference books Ölçme Yöntemleri:
Yazılı Sınav
9 Equation fitting techniques Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Gösterip Yaptırma
10 Equation fitting techniques: Application Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Alıştırma ve Uygulama, Gösterip Yaptırma
11 Statistical parameters Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap
12 Extraction of erroneous and inaccurate data Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Soru-Cevap
13 Statistical tests Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Alıştırma ve Uygulama, Gösterip Yaptırma
14 Problem solving and applications related to various Automotive Engineering Topics Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Alıştırma ve Uygulama, Gösterip Yaptırma
15 Problem solving and applications related to various Automotive Engineering Topics 2 Read the related topics in the lecture notes and reference books Öğretim Yöntemleri:
Gösterip Yaptırma, Alıştırma ve Uygulama
16 Term Exams Read the related topics in the lecture notes and reference books Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Read the related topics in the lecture notes and reference books 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 19 19
Final Exam 1 19 19
Total Workload (Hour) 150
Total Workload / 25 (h) 6,00
ECTS 6 ECTS

Update Time: 14.05.2024 10:11