Akademik Dersler - Tanıtım


Code - Course Title	ÇYÖ519 - Data Analysis in Environmental Science
Course Type	Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ ALP ÖZDEMİR
Mode of Delivery	Long Distance Learning
Prerequisites	There are no prerequisites and co-requisites
Courses Recomended	There is no recommended optional programme component
Recommended Reading List	Montgomery C.D., Runger C. G., Hubele F. N., Mühendislik İstatistiği, Palme Yayıncılık; 2016 Hanrahan, G., Key Concepts In Environmental Chemistry, Academic Press, 2013. Bruce Kendall and Chris Costello, Data Analysis for Environmental Science andManagement, 2006. Bayazıt, M., O.Y.B., Mühendisler için İstatistik, Birsen Yayınevi, 2011.Montgomery C.D., Design and Analysis of Experiments, 7th Edition, Wiley, 2009Minitab Programme Manual https://www.minitab.com/uploadedFiles/Documents/getting-started/Minitab17_GettingStarted-en.pdf
Assessment methods and criteria	Midterm, Homework, Final Exam
Work Placement	There is no work placement
Sustainability Development Goals

Weeks	Topics
Week - 1	Importance and Management of Data in Environmental Sciences: Data collection, Random sampling;
Week - 2	Introduction of Software and Programs Used in Data Analysis
Week - 3	Importance of Big Data for Corporate Environmental Management
Week - 4	Data Summary and Presentation: Histograms, Box plot,Time series plots
Week - 5	Random Variables and Probability Distributions: Distributions of continuous and discrete variables
Week - 6	Decision Making by Hypothesis Testing: One sample,
Week - 7	Decision Making by Hypothesis Testing: One sample,
Week - 8	Decision Making by Hypothesis Testing: Two samples,
Week - 9	Decision Making by Hypothesis Testing: Two samples,
Week - 10	Analysis of Variance
Week - 11	Time Series Analysis
Week - 12	Building Experimental Models: Analysis of Multidimensional Data, Correlation and Simple Linear Regression
Week - 13	Building Experimental Models: Analysis of Multidimensional Data, Correlation and Simple Linear Regression
Week - 14	Statistical Process Control: Pareto Analysis.

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
1.Midterm Exam	1	40
Final Exam	1	60
Toplam (%)		100