Ders Adı Kodu Yarıyıl T+U Saat Kredi AKTS
Busıness Statıstıcs For Informatıon Technologıes ENF 530 0 3 + 0 3 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi YUKSEK_LISANS
Dersin Türü Seçmeli
Dersin Koordinatörü Dr.Öğr.Üyesi ALPASLAN KİBAR
Dersi Verenler
Dersin Yardımcıları
Dersin Kategorisi Diğer
Dersin Amacı Goals Provide the basic statistical ability to interpret, associate and summarized the data and knowledge which are essential to all decision making processes
Dersin İçeriği Content Introduction to Data and Statistics, Descriptive Statistics, Data Collection and Sampling, Probability, Random Variable, Probability Distributions, Forecasting and Time Series, Hypothesis Testing, Analysis of Variance, Chi-Squared Tests, Correlation and Regression Analysis
# Ders Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 Data Collection and Organization Lecture, Question-Answer, Oral Exam,
2 Recognizing the basic statistical techniques Lecture, Question-Answer, Discussion, Testing, Oral Exam,
3 Problem definition and selecting an appropriate statistical method Question-Answer, Discussion, Drilland Practice, Testing, Oral Exam,
4 Evolution and understanding of statistical results Question-Answer, Discussion, Drilland Practice, Testing, Homework,
5 Definition of statistical relationships and selecting an appropriate measurement method Question-Answer, Discussion, Drilland Practice, Testing, Homework,
6 Using statistical techniques in decision making processes Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework, Project / Design,
Hafta Ders Konuları Ön Hazırlık
1 Introduction to Data and Statistics
2 Descriptive Statistics
3 Descriptive Statistics
4 Data Collection and Sampling
5 Introduction to Probability
6 Random Variable and Discrete Probability Distributions
7 Continuous Probability Distributions
8 Forecasting and Time Series
9 Hypothesis Testing
10 Hypothesis Testing
11 Analysis of Variance
12 Chi-Squared Tests
13 Correlation and Regression Analysis
14 Correlation and Regression Analysis
Kaynaklar
Ders Notu
Ders Kaynakları
Sıra Program Çıktıları Katkı Düzeyi
1 2 3 4 5
1 X
2 X
3 X
4 X
5 X
6 X
8 X
9 X
Değerlendirme Sistemi
Yarıyıl Çalışmaları Katkı Oranı
1. Ara Sınav 25
1. Ödev 37
2. Ödev 38
Toplam 100
1. Yıl İçinin Başarıya 50
1. Final 50
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 2 32
Mid-terms 1 15 15
Assignment 2 15 30
Final examination 1 15 15
Toplam İş Yükü 140
Toplam İş Yükü / 25 (Saat) 5,6
Dersin AKTS Kredisi 6