Ders Bilgileri

#### Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
STATISTCS AND BUSINESS APLLICATIONS YBS 202 4 3 + 0 3 6
 Dersin Dili Türkçe Dersin Seviyesi Lisans Dersin Türü ZORUNLU Dersin Koordinatörü Prof.Dr. AYKUT HAMİT TURAN Dersi Verenler Dersin Yardımcıları Dersin Kategorisi Dersin Amacı The aim of this lecture is to learn the essential concepts of statistics and position of it in social sciences and information systems, to bring in basic capabilities to students, in the area of statistics, to model, solve and interpret the real time business problems Dersin İçeriği Introduction to Statistics, Data Sampling, Descriptive and Inferential Statistics, Probability concepts and its position in statistics, discrete and continuous probability distribution, Statistical Inference, Hypothesis Testing, Variance Analysis, Regression, Correlation and Chi-Square Analysis, Statistical softwares (Excel and SPSS)
 Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri 1 - Understanding the aim, scope and importance of statistics 1 - 2 - 3 - 10 - 12 - A - B - C - 2 - Implementing data collection and sampling processes 1 - 4 - 8 - 12 - 14 - C - D - 3 - Understanding the importance of Probability in the area of statistics 1 - 2 - 10 - 12 - A - B - C - 4 - Interpreting the relationship between statistics and management science 1 - 2 - 3 - 10 - 12 - A - B - C - 5 - Learning the basic properties of statistical techniques for summarizing and visualizing the data 1 - 4 - 8 - 12 - 14 - C - D - 6 - Choosing the suitable methods to different kind of variables 1 - 4 - 8 - 10 - 12 - 14 - C - D - 7 - Interpreting the statistical analysis solutions and turn them to decision in real time business environment 1 - 2 - 3 - 4 - 8 - 12 - 14 - A - B - C - D - 8 - Learning the use of the statistical analysis software 1 - 4 - 12 - 16 - C - D -
 Öğretim Yöntemleri: 1: 2: 3: 10: 12: 4: 8: 14: 16: Ölçme Yöntemleri: A: B: C: D:

#### Ders Akışı

Hafta Konular ÖnHazırlık
1 Introduction to Statistics Lecture Notes / Anderson 1-29
2 Data Collection and Sampling Lecture Notes / Anderson 1-29
3 Descriptive Statistics ? Graphic and Tabular Techniques Lecture Notes / Anderson 30-88
4 Descriptive Statistics ? Numerical Techniques Lecture Notes / Anderson 89-154
5 Introduction to Probability Lecture Notes / Keller 175-236
6 Discrete Probability Distributions Lecture Notes / Keller 237-262
7 Continuous Probability Distributions Lecture Notes / Keller 263-306
8
9 Statistical Inference Lecture Notes / Keller 335-359
10 Hypothesis Testing Lecture Notes / Anderson 347-392
11 Variance Analysis Lecture Notes / Keller 525-596
12 Regression and Correlation Analysis Lecture Notes / Keller 633-729
13 Qualitative Data Analysis Lecture Notes / Keller 596-632
14 Non-Parametric Statistical Test Lecture Notes

Ders Notu
Ders Kaynakları

#### Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 Acquire necessary knowledge in the fields of production,finance, human resources and management and organisation which are the fundamental functions of an enterprise X
2 Define management information systems in terms of technic, management and organisation and grasp the local, national and international dimensions of it X
3 Be aware of the fact that management information systems is a multidisciplinary field and interrelate the other fields X
4 Be able to think analythically and offer solutions by using the knowledge and skills gained towards problems encountered in daily life X
5 Know information technologies and systems which can be used in diferrent fields of an enterprise X
6 Be able to solve problems by using diferrent information technologies, systems and support decision-makers X
7 Provide technical and managerial contribution to information projects and take responsibility X
8 Keep up with the rapid changes in the field of information technologies and systems and innovate themselves X
9 Convey the experince that they have about information technologies and systems, recent developments and growing tendencies through any sort of means of communication and, if necessary, can do it in a foreign language at least. X
10 Generate ideas for interdisciplinary studies which can combine social and technical fields and be able to conduct these ideas X
11 Know the algorithm and be able to use an up-to-date software.
12 Analyse the needs for an information systems and have control over the processes at the analysis, design and implementation stages of the database that belongs to the system
13 Have the conscioussness of social responsibility and understand and practice theprofessional, legal and ethical values in information field
14 Have a wide acquaintance with managerial/functional applications of enterprise information systems

#### Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 50
KisaSinav 1 20
Odev 1 15
Odev 2 15
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

#### AKTS - İş Yükü

Etkinlik Sayısı Süresi(Saat) Toplam İş yükü(Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Quiz 1 10 10
Assignment 2 10 20
Final examination 1 15 15
Toplam İş Yükü 167
Toplam İş Yükü /25(s) 6.68
Dersin AKTS Kredisi 6.68
; ;