Ders Planı

Lesson Information

Course Credit	2.0
Course ECTS Credit	3.0
Teaching Language of Instruction	Türkçe
Level of Course	Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course	Compulsory
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?	Z
Course Coordinator	Prof. Dr. HAMİDE ERTEPINAR
Instructor (s)	Assoc. Prof. (Ph.D.) ALİ YİĞİT KUTLUCA
Course Assistant

Purpose and Content

The aim of the course	To give basic concept information about statistic, make meaninful to collected datas by the help of shedules and graphs, to gain application and analysis related descriptive statistics skills, make simple correlation analysises and their comments.
Course Content	Induction to statistic and basic concepts on statistics, descriptive statistics , estimation of population parameter, concepts of correlation and techniques of alternative correlation, hypostesis tests, deciding difference tests, chi-square analysis, process of scale improving, operations of standardization and adaptation, data analysis with package program and alternative programs.

Learning Outcomes

On the basis of qualifications gained; interpret the concepts related their area and relationships between these concepts.
Evaluate the development ,learning styles and learning disabilities of the students.
Have knowledge of teaching programs, teaching strategies, assessment and evaluation methods and techniques about the field of education of Gifted Education.
Evaluate the knowledge’s nature, source, boundaries, accuracy, reliability and validity.
Comprehend the methods of scientific knowledge production.
Use the further sources of information related with the field of education of Gifted Education.
Identify and analyze the problems about the field of education of Gifted Education and develop solutions.
Being able to identify and analyze the problems about their field and develop solution suggestions according to researches.
Conceptualize the events related to the education of Gifted Education.
Apply most appropriate teaching strategies, methods and techniques taking account development characteristics individual differences of students and characteristics of the subject area.
Evaluate the acquisitions of students by using different evaluation methods.
Take responsibility in individual and group works and accomplish this responsibility affectively.
Use of the aspects of their creative and powerful charecteristics to improve thier weeknesses.
Take responsibility to solve the unpredictable and complex problems encountered in practice as an individual or a member of a group.
Evaluate acquired knowledge and skills critically.
Determine needs of learning and manage their learning process.
Develop positive attitudes to lifelong learning.
Use the ways of accessing to information affectively.
Participate in the artistic and cultural events.
Be sensitive about agenda of society and the world events / developments and follow these developments.
Plan and practice the professional activities and projects as a sense of social responsibility.
Instruct the persons and institutions about the education of Gifted Education.
Share their ideas and solution suggestions with experts and other people by the support of quantitative and qualitative data.
Be an example to the community considering their external appearance, attitudes and behaviors.
Have enough awareness about environmental protection and job security.
Develop awareness of the national and the universal values that expressed in the National Education Basic Law.
Obey the laws, regulations and legislation related to duties rights and responsibilities.

Weekly Course Subjects

1	Induction to statistic and basic concepts on statistics
2	Induction to statistic and basic concepts on statistics
3	Frequency ranges
4	Showing datas with graphs
5	Measures of central tendency
6	Variability measurements, standard deviation and confidence intervals
7	Concepts of correlation and techniques of alternative correlation
8	Applications
9	Mid-Term Exam Hypothesis tests, deciding
10	Difference tests; chi-square analysis
11	Difference tests; chi-square analysis
12	Process of scale improving
13	Operations of standardization and adaptation
14	Data analysis with package program and alternative programs

Resources

1-Köklü, N., Büyüköztürk, Ş., (2000). Sosyal Bilimler için İstatistiğe Giriş, Ankara: Pegem A Yayıncılık.

2-M.R.Spiegel, L.J.Stephens, (2000). İstatistik, İstanbul: Nobel Yayıncılık.

3- Bakır, A.ve Aydın, C., (2010). İstatistik, Ankara: Nobel Yayıncılık.

CLASS 1

CLASS 2

CLASS 3

CLASS 4

Lesson Information

Purpose and Content

Learning Outcomes

Weekly Course Subjects

Resources

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