Akademik Dersler - Tanıtım


Code - Course Title	EİST201 - Engineering Statistics
Course Type	Required Courses
Language of Instruction	İngilizce
Laboratory + Practice	3+0
ECTS	4.0
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ MUSTAFA ÇAVUŞ
Mode of Delivery	This course will only face-to-face training.
Prerequisites	There is no prerequisite or co-requisite for this course.
Courses Recomended	There are no suggested lessons related with this course.
Recommended Reading List	McClave, J. T., & Sincich, T. (2018). A first course in statistics. Pearson
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	Representation of data in tabular and graphical form
Week - 2	Measures of central tendency
Week - 3	Measures of variability
Week - 4	Probability
Week - 5	Concept of random variable, probability distribution, expected value
Week - 6	Discrete random variables, Bernoulli, Binomial and Poisson distributions
Week - 7	Continuous random variables, Normal distribution and its applications
Week - 8	Continuous random variables, Normal distribution and its applications
Week - 9	Sampling distributions
Week - 10	Constructing confidence intervals for population mean and proportion
Week - 11	Hypothesis testing: General concepts, Tests for population means and proportions
Week - 12	Hypothesis testing: General concepts, Tests for population means and proportions
Week - 13	Simple linear regression: method of least squares, testing the significance of the model; correlation coefficient
Week - 14	Simple linear regression: method of least squares, testing the significance of the model; correlation coefficient

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