İLERİ İSTATİSTİK II-ÇIKARIMSAL YÖNTEMLER DERS TANITIM VE UYGULAMA BİLGİLERİ

Kodu	Dersin Adı	Yarıyıl	Süresi(T+U)	Kredisi	AKTS Kredisi
YBS303	İLERİ İSTATİSTİK II-ÇIKARIMSAL YÖNTEMLER	5	3	3	7

DERS BİLGİLERİ
Dersin Öğretim Dili :	Türkçe
Dersin Düzeyi	BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Dersin Türü	Zorunlu
Dersin Veriliş Şekli	-
Dersin Koordinatörü	Assist.Prof. DİDEM TETİK KÜÇÜKELÇİ
Dersi Veren Öğretim Üyesi/Öğretim Görevlisi	Dr.Öğr.Üyesi DİDEM TETİK KÜÇÜKELÇİ
Ders Ön Koşulu	Yok

AMAÇ VE İÇERİK
Amaç:	This course aims to inform the students about the basic concepts of statistics, to collect data in their studies and to provide the necessary knowledge and skills to apply the appropriate solution technique.
İçerik:	In case of deductions about the universe with the help of a sample, statistics are called deductional statistics. The method used by deductional statistics is the inductive method. Contents of this course include the subjects such as methods based on probability theory, dissemination of the results obtained based on a sample representing the universe to the universe, tests of hypothesis on the universe and predictions for the future.

DERSİN ÖĞRENME ÇIKTILARI (Öğrenciler, bu dersi başarı ile tamamladıklarında aşağıda belirtilen bilgi, beceri ve/veya yetkinlikleri gösterirler.)
Predict statistical estimation of obtained data.
Create hypotheses in research.
Test hypothesis tests.
Analyze to determine the degree of relationships between variables.
Model the time series.
Predict future predictions from time series.

HAFTALIK DERS KONULARI VE ÖNGÖRÜLEN HAZIRLIK ÇALIŞMALARI
Hafta	Ön Hazırlık	Konular	Yöntem
1	-	Introduction	Lecture & Problem Solving
2	Literature Review	Sampling and Sampling Divisions	Lecture & Problem Solving
3	Literature Review	Sampling and Sampling Divisions	Lecture & Problem Solving
4	Literature Review	Statistical prediction	Lecture & Problem Solving
5	Literature Review	Confidence Interval and Confidence Limits	Lecture & Problem Solving
6	Literature Review	Statistical decision making	Lecture & Problem Solving
7	Literature Review	Hypothesis testing and stages	Lecture & Problem Solving
8	-	MID-TERM EXAM	-
9	Literature Review	Chi-Square Test	Lecture & Problem Solving
10	Literature Review	Regression Correlation	Lecture & Problem Solving
11	Literature Review	Linear Regression and Correlation	Lecture & Problem Solving
12	Literature Review	Time Series Analysis	Lecture & Problem Solving
13	Literature Review	Finding the trend and measuring seasonal fluctuations	Lecture & Problem Solving
14	Literature Review	Interpolation	Lecture & Problem Solving
15	Literature Review	Interpolation in grouped series	Lecture & Problem Solving
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

KAYNAKLAR
Gursakal, N. (2014). Cikarimsal istatistik. Dora Publications.

ÖLÇME VE DEĞERLENDİRME
Yarıyıl İçi Yapılan Çalışmaların Ölçme ve Değerlendirmesi	Etkinlik Sayısı	Katkı Yüzdesi	Açıklama

(0) Etkisiz	(1) En Düşük	(2) Düşük	(3) Orta	(4) İyi	(5) Çok İyi
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Define concepts such as management, manager and leader.				3
2	Analyze the accuracy, reliability and validity of the new information obtained from the data.						5

KNOWLEDGE
Factual
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Report the obtained data.						5
2	Prepare software and projects related with the field.						5

SKILLS
Cognitive
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Use the appropriate resources for data analysis related with the field.						5
2	Analyze the work processes.						5

SKILLS
Practical
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Manage projects as part of a team.						5
2	Apply the material, techniques and analyzes in relation with the subject for project and work flows.						5

OCCUPATIONAL
Autonomy & Responsibility
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Fulfill responsibility with a focus on result in individual and team studies.						5

OCCUPATIONAL
Learning to Learn
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Recognizes what he/she knows about his/her field or not.						5
2	Act the theoretical knowledge in real life with learning to learn approach.						5
3	Apply different methods and techniques with an innovative approach in his/her research.						5

OCCUPATIONAL
Communication & Social
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Apply the results obtained in accordance with voluntarism and social responsibility projects.						5
2	Establish a healthy contact with colleagues				3
3	Share the analyzes and obtained results with colleagues.						5
4	Cooperate with colleagues at international level with the help of foreign language competency.						5

OCCUPATIONAL
Occupational and/or Vocational
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Behave in accordance with ethical values regarding the collection, analysis and reporting of data.						5
2	Participate the design of work processes and systems with full quality.						5
3	Cooperate with other employees for the continuation of sustainability in the profession.						5

DERSİN İŞ YÜKÜ VE AKTS KREDİSİ
Öğrenme-Öğretme Etkinlikleri İş Yükü
Öğrenme-Öğretme Etkinlikleri	Etkinlik(hafta sayısı)	Süresi(saat sayısı)	Toplam İş Yükü
Lecture & In-Class Activities	14	3	42
Preliminary & Further Study	13	3	39
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	13	1	13
Assignment (Homework)	0	0	0
Project Work	0	0	0
Seminar	0	0	0
Internship	0	0	0
Technical Visit	0	0	0
Web Based Learning	0	0	0
Implementation/Application/Practice	0	0	0
Practice at a workplace	0	0	0
Occupational Activity	0	0	0
Social Activity	0	0	0
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	0	0	0
Final Exam	1	1	1
Preparation for the Final Exam	6	6	36
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	8	6	48
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	56	0	180