Akademik Dersler - Tanıtım


Code - Course Title	İST349 - Statistical Modelling Techniques
Course Type	Area Elective Courses
Language of Instruction	İngilizce
Laboratory + Practice	3+0
ECTS	5.0
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ İSMAİL YENİLMEZ
Mode of Delivery	The mode of delivery of this course is face to face.
Prerequisites	There is no prerequisite or co-requisite for this course.
Courses Recomended	There is no recommended optional programme component for this course.
Recommended Reading List	An Introduction to Statistical Learning with Applications in R by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani; Econometrics by Example by Damodar Gujarati
Assessment methods and criteria	1 Midterm Exam, 1 Homework and Final Exam (Classic)
Work Placement	Not suitable for this course.
Sustainability Development Goals

Weeks	Topics
Week - 1	Data Types
Week - 2	Cleaning and Editing Data
Week - 3	Regression Model
Week - 4	ANOVA Model
Week - 5	ANCOVA Model
Week - 6	Generalized Linear Models
Week - 7	Linear Probability Model, Logit Model, and Probit Model
Week - 8	Truncated Regression
Week - 9	Censored Regression
Week - 10	Poisson Model and Negative-Binomial Model
Week - 11	Zero-Inflated Models
Week - 12	Quantile Regression
Week - 13	Parameter Estimation Methods
Week - 14	Model Selection Criteria

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