Kocaeli University / European Credit Transfer System (ECTS)

Name of Lecturer(s)

Associate Prof. Dr. Şenay ÇETİN DOĞRUPARMAK

Learning Outcomes of the Course Unit
Program Competencies-Learning Outcomes Relation

Learning Outcomes of the Course Unit

1) Explaining objectives and stages of scientific research
2) Aplying statistical measures
3) Associating between two variables
4) Explaining knowledge of probability
5) Explaining knowledge of hypothesis tests
6) Doing classification of data and calculation of measures with excel

Program Competencies-Learning Outcomes Relation

		Program Competencies
		1	2	3	4
Learning Outcomes
	1	High	High	High	High
	2	High	High	High	High
	3	High	High	High	High
	4	High	High	High	High
	5	High	High	High	High
	6	High	High	High	High

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Not Required

Course Contents

The basic concepts of Statistics, Data classification, the creation of frequency tables, location measurements, distribution measurements, Graphics, regression and correlation analysis, Probability and probability distributions, and using computer programs for calculating measures of location and dispersion methods, graphics, drawings, and data evaluation

Weekly Schedule

1) The basic concepts of statistics
2) Classification of data, the creation of frequency tables
3) Location dimensions (arithmetic mean, weighted arithmetic mean, geometric, harmonic and squared averages)
4) Location dimensions (mode, median, graphical representation of the mode and the media)
5) Distribution measurements (width change, variance, standard deviation, standard error, coefficient of variation, the standard variable)
6) Graphics
7) Regression and correlation analysis
8) Midterm examination/Assessment
9) Probability and probability distributions (binomial and Poisson)
10) Examples of Binomial and Poisson distribution
11) Sample solutions on the subject
12) Hypothesis testing, t distribution, z distribution
13) Normal distribution, the standard normal distribution
14) Sample solutions on the subject
15) Using computer programs, location and distribution the dimensions methods of calculating , graphics drawings and data evaluation
16) Final examination

Planned Learning Activities and Teaching Methods

1) Lecture
2) Question-Answer
3) Lab / Workshop
4) Problem Solving
5) Project Based Learning

Assessment Methods and Criteria

Contribution of Midterm Examination to Course Grade	40%
Contribution of Final Examination to Course Grade	60%
Total	100%

Language of Instruction

Turkish

Work Placement(s)