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
  • Faculty of Engineering
  • Department of Industrial Engineering
  • Course Structure Diagram with Credits
  • Experiment Design and Regression Analysis
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title ENM310 - Experiment Design and Regression Analysis
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 4.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ LEMAN ESRA DOLGUN
Mode of Delivery Face to face
Prerequisites ENM317
Courses Recomended
Recommended Reading List Mendenhall, W., Sincich, T. A Second Course in Statistics: Regression Analysis, Pearson.Montgomery, D.C., Runger, G.C., Hubele, N.F. (2012). Engineering Statistics. 5th ed., Wiley.Özkan, C. (Çeviri Editörü) (2017) Mühendislik İstatistiği (Montgomery, D.C., Runger, G.C., Hubele, N.F. (2012). Engineering Statistics 5.baskıdan çeviri) Palme Yayıncılık.
Assessment methods and criteria Midterm Examination, Quiz, Final Examination
Work Placement
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Model of Experimental Design, One way ANOVA
Week - 2 Confidence Intervals on One-way ANOVA, Residual Analysis
Week - 3 Two-way ANOVA, Multi factor ANOVA, Confidence Intervals
Week - 4 Hypotheses on Multi factor ANOVA
Week - 5 Residual Analysis
Week - 6 Comparision of means, Analysis with MINITAB
Week - 7 Simple Linear Regression, Confidence Intervals, Hypotheses
Week - 8 Multi variable regression Analysis, Confidence Intervals, Hypotheses
Week - 9 Residual Analysis of Regression, Correlation
Week - 10 Methods od independent variable to the regression model
Week - 11 Nonlinear regression models
Week - 12 Factorial design
Week - 13 2k factorial design
Week - 14 Hypotheses, Residual Analysis, selection of factor levels

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Competences
  • Questoning
  • Problem solving
  • Concern for quality
  • Elementary computing skills
  • Decision making

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
Quiz 1 30
Final Exam 1 40
Toplam (%) 100
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