Ders Adı Kodu Yarıyıl T+U Saat Kredi AKTS
Data Analysıs YBS 518 0 3 + 0 3 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi YUKSEK_LISANS
Dersin Türü Seçmeli
Dersin Koordinatörü Prof.Dr. NİHAL SÜTÜTEMİZ
Dersi Verenler Prof.Dr. NİHAL SÜTÜTEMİZ,
Dersin Yardımcıları
Dersin Kategorisi Alanına Uygun Öğretim
Dersin Amacı
Dersin İçeriği
# Ders Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 Drilland Practice, Lecture, Homework, Testing,
2 Lecture, Drilland Practice, Homework,
3 Drilland Practice, Lecture, Homework,
4 Drilland Practice, Lecture, Testing, Homework,
5 Drilland Practice, Lecture, Homework, Testing,
6 Drilland Practice, Lecture, Homework, Testing,
7 Data entry to SPSS Drilland Practice, Lecture, Homework,
8 Edits data in SPSS Drilland Practice, Lecture, Homework,
9 Applies and interprets descriptive statistics by data type Drilland Practice, Lecture, Homework, Testing,
10 Analyze and interpret relationships between variables according to data type Drilland Practice, Lecture, Homework, Testing,
11 Gain knowledge of hypothesis building and the concept of hypothesis Drilland Practice, Lecture, Homework, Testing,
12 Analyzes the differences between groups according to a specific variable Drilland Practice, Lecture, Homework, Testing,
13 Knows the conditions of application of parametric and non-parametric tests Question-Answer, Lecture, Homework, Testing,
14 Analyzes and interprets variables grouping Drilland Practice, Lecture, Homework, Testing,
15 Analyzes and comments that group participants Drilland Practice, Lecture, Homework, Testing,
16 Performs and interprets analyzes that separate participants according to certain criteria. Drilland Practice, Lecture, Homework, Testing,
Hafta Ders Konuları Ön Hazırlık
1 Scientific research and scientific research process
2 Introduction to SPSS
3 Editing data in SPSS
4 Descriptive statistics in SPSS
5 Chi-Square Analysis
6 Correlation Analysis
7 Regression Analysis
8 MIDTERM
9 t-test
10 Analysis of Variance
11 Factor Analysis
12 Discriminant Analysis
13 Cluster Analysis
14 Nonparametric Analysis
Kaynaklar
Ders Notu
Ders Kaynakları
Sıra Program Çıktıları Katkı Düzeyi
1 2 3 4 5
1 Can use next generation computing-based business analytics techniques and apply these methods to business problems X
2 Offers developed solutions with information technologies such as Business Intelligence tools X
3 Makes the routine decisions necessary for the execution of operational works with the help of information technologies. X
4 Makes medium and long term strategic decisions with the help of information systems. X
5 Can transform business processes into electronic form with the help of information systems X
6 Contributes to the sustainability of processes with electronic transformation. X
7 Makes a basic literature search on the field. X
8 Knows about research methodology and applies this knowledge to informatics issues. X
9 Leading the working group by communicating within the team in teamwork. X
10 Effectively uses group communication technologies in IT projects management. X
Değerlendirme Sistemi
Yarıyıl Çalışmaları Katkı Oranı
1. Ödev 60
1. Ara Sınav 40
Toplam 100
1. Yıl İçinin Başarıya 60
1. Final 40
Toplam 100
AKTS - İş Yükü Etkinlik Sayı Süre (Saat) Toplam İş Yükü (Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 1 16
Mid-terms 1 10 10
Final examination 1 15 15
Assignment 1 60 60
Toplam İş Yükü 149
Toplam İş Yükü / 25 (Saat) 5,96
Dersin AKTS Kredisi 6