Statistical Methods For Pollution Modelling
Environmental Engineering
Faculty of Engineering
First Cycle (Bachelor's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Statistical Methods For Pollution Modelling | CEV423 | Elective | Bachelor's degree | 4 | Fall | 5 |
Name of Lecturer(s)
Prof. Dr. Bilge ÖZBAY
Learning Outcomes of the Course Unit
1) The student will gain knowledge about the commonly used statistical methods in environmental engineering field.
2) The students will learn and apply correlation and regression analysis.
3) The students will gain knowledge about the applications of principle component analysis in environmental engineering field.
4) The students will learn the basic properties and structures of artifical neural networks.
5) The students will gain knowledge about the artifical neural network applications in environmental engineering field.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||
| 1 | 2 | 3 | 4 | ||
| Learning Outcomes | |||||
| 1 | Low | Low | No relation | No relation | |
| 2 | Middle | Middle | No relation | No relation | |
| 3 | Middle | Middle | No relation | No relation | |
| 4 | Middle | Middle | No relation | No relation | |
| 5 | Low | Low | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
-
Course Contents
Defination and usage areas of statistics, common statical methods used in environmental engineering field, correlation analysis and its applications in environmental enginnering field, multivariate linear regression model and applications in environmental engineering, principle component analysis, non-linear models and their applications in environmental enginnering field, artifical neural network (ANN) models, the principle properties and structure of ANN models, ANN applications in environmental enginnering.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
60% |
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Contribution of Final Examination to Course Grade |
40% |
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Total | 100% | ||||||||||||||
Language of Instruction
English
Work Placement(s)
Not Required