MTY501 Applied Statistics for Engineering

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

Information

Code MTY501
Name Applied Statistics for Engineering
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. RIZVAN EROL


Course Goal

The overall objective of this course is to study statistical methods used to analyze the data collected to solve engineering problems and apply these methods on statistical software.

Course Content

Basic statistical concepts for engineers, normal distribution, hypothesis tests, sampling methods, statistical analysis of performance data of firms, usage of statistical software, experimental design for product and process design, Taguchi methods for quality engineering.

Course Precondition

None

Resources

MONTGOMERY, D. C., RUNGER, G. C., 2014, Applied Statistics And Probability For Engineers(6th ed.), John Wiley&Sons Inc.

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Understands and applies statistical design principles in engineering studies.
LO02 Selects an appropriate statistical analysis method for the objective and scope of an engineering study.
LO03 Performs basic statistical analysis using a computer software.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Understands, evaluates, interprets and applies knowledge in depth in the field of engineering and technology management, doing scientific research. 5
PLO02 Bilgi - Kuramsal, Olgusal Has comprehensive knowledge about current methods and techniques of engineering and technology management and its limitations. 4
PLO03 Bilgi - Kuramsal, Olgusal Has the ability of describing and applying knowledge despite limited or missing data; integrates knowledge from different disciplines into the present knowledge. 5
PLO04 Bilgi - Kuramsal, Olgusal Designs engineering problems, develops techniques to solve them, using innovative ways. 4
PLO05 Bilgi - Kuramsal, Olgusal Has the ability of designing and applying research based on analytical, modelling and experimental approaches and has the ability to solve problems encountered while conducting such research. 5
PLO06 Bilgi - Kuramsal, Olgusal Works in multi-disciplinary teams, takes a leading role and responsibility and develops approaches for complicated solutions. 3
PLO07 Bilgi - Kuramsal, Olgusal Describes, gathers and uses necessary information and data. 5
PLO08 Beceriler - Bilişsel, Uygulamalı Keeps up with the latest developments in the field, examines and learns them when necessary. 3
PLO09 Beceriler - Bilişsel, Uygulamalı Has the ability of developing new and/or original ideas or techniques, comes up with innovative solutions for designing systems, components or processes. 4
PLO10 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Presents research findings systematically and clearly in oral or written forms in national or international meetings. 3
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Understands social and environmental implications of engineering practice. 3
PLO12 Yetkinlikler - Öğrenme Yetkinliği Considers social, scientific and ethical values in all professional activities and while collecting and analysing data and discussing the findings. 5


Week Plan

Week Topic Preparation Methods
1 Statistics and probability in engineering, descriptive statistics reading related textbook chapter Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
2 Basic concepts of probability reading related textbook chapter Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
3 Basic concepts of statistics reading related textbook chapter Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
4 Basic sampling distributions reading related textbook chapter Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
5 Graphical analysis of data reading related textbook chapter Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
6 Estimators, random sampling and point estimators reading related textbook chapter Öğretim Yöntemleri:
Anlatım, Soru-Cevap
7 Interval estimators, population mean and variance estimation reading related textbook chapter Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
8 Mid-Term Exam review course material Ölçme Yöntemleri:
Yazılı Sınav
9 Hypothesis tests, basic concepts reading related textbook chapter Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Problem Çözme
10 Well-known hypothesis tests reading related textbook chapter Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
11 Regression models, model adequacy, multiple regression reading related textbook chapter Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
12 Regression applications in engineering reading related textbook chapter Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
13 Experimental designs, analysis of variance reading related textbook chapter Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
14 Process optimization via staistical models reading related textbook chapter Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Problem Çözme
15 Project presentations prepare a project presentation Ölçme Yöntemleri:
Proje / Tasarım
16 Term Exams review course material Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams review course material Ölçme Yöntemleri:
Yazılı Sınav