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 Environmental Engineering
  • Course Structure Diagram with Credits
  • Applied of Environmental Statistics Analysis
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title ÇEV340 - Applied of Environmental Statistics Analysis
Course Type Area Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 2+0
ECTS 3.0
Course Instructor(s) DOÇENT DOKTOR ALP ÖZDEMİR
Mode of Delivery Face to face
Prerequisites There is no Prerequisites and co-requisites
Courses Recomended İST201 STATISTICS I
Required or Recommended Resources Montgomery C.D., Runger C. G., Hubele F. N., Mühendislik İstatistiği, Palme Yayıncılık; 2016 Hanrahan, G., Key Concepts In Environmental Chemistry, Academic Press, 2013. Bayazıt, M., O.Y.B., Mühendisler için İstatistik, Birsen Yayınevi, 2011.Montgomery C.D., Design and Analysis of Experiments, 7th Edition, Wiley, 2009
Recommended Reading List NO.
Assessment methods and criteria HOMEWORKS, MIDTERM, FINAL
Work Placement NO.
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to Environmental Statistics and Its Importance; Sample Collection: Sampling process;
Week - 2 Introduction to Minitab Statistical Program
Week - 3 Frequency Analysis
Week - 4 Frequency Analysis
Week - 5 The Distribution of Sampling: Normal distribution, Log-normal distribution
Week - 6 Inferential Statistics and Hypothesis Testing
Week - 7 Test of Z, Test of T, Test of F
Week - 8 Test of Z, Test of T, Test of F
Week - 9 Analysis of Variance
Week - 10 Graphical Data Analysis: The use of the scatterplot in environmental data analysis, Standard addition and internal standard methods
Week - 11 Data Analysis: Regression and correlation
Week - 12 Design of Experiments: Factorial experimental designs, Taguchi experimental design.
Week - 13 Design of Experiments: Factorial experimental designs, Taguchi experimental design.
Week - 14 Design of Experiments: Factorial experimental designs, Taguchi experimental design.

Learning Activities and Teaching Methods

  • Teaching Methods
  • Question & Answer
  • Drill - Practise
  • Case Study
  • Competences
  • Effective use of Turkish
  • Abstract analysis and synthesis
  • Problem solving
  • Information Management
  • Elementary computing skills

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 25
Homework 1 25
Final Exam 1 50
Toplam (%) 100
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