Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Graduate School of Sciences
  • Department of Environmental Engineering
  • Master of Science (MS) Degree
  • Course Structure Diagram with Credits
  • Statistical Analysis of Engineering Data
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title ÇEV531 - Statistical Analysis of Engineering Data
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ ALP ÖZDEMİR
Mode of Delivery Face to face, with computer applications
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended None
Recommended Reading List Ott,W.R., Environmental Statistics and Data Analysis, CRC, 1195.Bayazıt,M. Oğuz,B., Mühendisler için İstatistik, Birsen Yayınevi, 1994.
Assessment methods and criteria 1 midterm exam, 4 homework, 1 term project, 1 final exam
Work Placement Statistical analysis on selected datasets
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction and basic knowledge statistics Using of the statistical methods for scientific studies
Week - 2 Descriptive statistical techniques, Tabular presentation,diagrammatic presentation
Week - 3 standard deviation, variance, measures an dispersion skewness
Week - 4 Distribution, hypothesis tests
Week - 5 z test, t test, F test, variance analysis
Week - 6 z test, t test, F test, variance analysis
Week - 7 Teaching the usage of Statgraph
Week - 8 Analytical measurements, calibration, Errors and dedection limits
Week - 9 Regression and correlation
Week - 10 Non-parametric statistics
Week - 11 Time series
Week - 12 Time series
Week - 13 Experimetal design
Week - 14 Experimental design

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Question & Answer
  • Team/Group Work
  • Report Preparation and/or Presentation
  • Competences
  • Questoning
  • Problem solving
  • Information Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 25
Homework 1 20
Project 1 15
Final Exam 1 40
Toplam (%) 100
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