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 | |
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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 |