Akademik Dersler - Tanıtım


Code - Course Title	İST556 - Statistics
Course Type	Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ MUSTAFA ÇAVUŞ
Mode of Delivery	This course will only involve face-to-face training.
Prerequisites	There is no prerequisite or co-requisite for this course.
Courses Recomended	There are no suggested courses related to this course.
Recommended Reading List
Assessment methods and criteria	1 Midterm Exam and 1 Final Exam
Work Placement	This is not appropriate for the course.
Sustainability Development Goals

Weeks	Topics
Week - 1	Statistics and Data Science Definitions
Week - 2	Introduction to Data Analysis: Graphical and numerical summary, raw data, analysis-ready data
Week - 3	Probability: Randomness and Probability Measurement
Week - 4	Random Variables and Characteristics, Probability function, Cumulative distribution function
Week - 5	Normal, t, F ve chi-square distributions
Week - 6	Parameter Estimation: Point estimation and interval estimation
Week - 7	Hypothesis Tests and Applications
Week - 8	Regression Analysis and Applications
Week - 9	Correlation and regression analysis
Week - 10	Linear regression analysis
Week - 11	Non-linear regression analysis
Week - 12	Statistical Classification Techniques
Week - 13	Decision Trees and Applications
Week - 14	Decision Trees and Applications

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)		0