PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
YBS 213	DESCRIPTIVE STATISTICS AND PROBABILITY	3 + 0	3rd Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Compulsory
Course Objective	The purpose of this course is to prepare students for learning inferential statistics by proving them with the basics of descriptive statistics and probability theory. In addition, it is aimed to create descriptive statistics and probability information needed for data mining.
Course Content	Principles of scientific research, fundamentals of descriptive statistics, central tendency and dispersion measures, measures of association, probability theory and probability distributions, classifications in big data, and editing data in big data analysis.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Able to use graphs, tables and statistics for summarizing and organizing data sets in data mining.
2	Able think probabilistically
3	Able to interpret and extract useful information from raw data in big data analysis.

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11	PO 12
LO 001							3	3	4	3	5	3
LO 002							4	3	3	4	2	3
LO 003							2	3	4	3	3	3
Sub Total							9	9	11	10	10	9
Contribution	0	0	0	0	0	0	3	3	4	3	3	3

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	2	28
Assignments	3	10	30
Mid-terms	1	10	10
Final examination	1	20	20
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2019-2020 Fall	1	SERKAN DOLMA

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
YBS 213	DESCRIPTIVE STATISTICS AND PROBABILITY	3 + 0	1	Turkish	2019-2020 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Asts. Prof. Dr. SERKAN DOLMA	dolma@pau.edu.tr		İİBF C0206	%70

Goals		The purpose of this course is to prepare students for learning inferential statistics by proving them with the basics of descriptive statistics and probability theory. In addition, it is aimed to create descriptive statistics and probability information needed for data mining.
Content		Principles of scientific research, fundamentals of descriptive statistics, central tendency and dispersion measures, measures of association, probability theory and probability distributions, classifications in big data, and editing data in big data analysis.

Topics

Materials

Materials are not specified.

Resources

Course Assessment

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student