Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Statistics ISL1522 Turkish Compulsory 2. Semester 2 + 0 2.0 4.0
Prerequisite Courses
Course Level Associate
Mode of delivery Face to face
Course Coordinator Öğr. Gör. Özge AKŞEHİRLİ
Instructor(s)
Goals Both in business, as well as various organizations in decision-making for the best employees need data that has been collected can be, with the ability to gain the storing and processing.
Course Content Definition of Statistics, basic concepts used, data types and methods of collecting, organizing data, measures of central tendency, dispersion, estimation theory, correlation analysis, it is aimed to teach the regression analysis and indexes
Learning Outcomes
# Öğrenme Kazanımı
1 The decision to collect the data that will be used in the making
2 Bringing the person regularly to provide relevant data collected at the plant and shown in various graphic media
3 using measures of central tendency and dispersion which is concentrated around the value of the data group and showed how distribution
4 Determining the function of the sample selected from the group which carried out the research could be used in research
5 Which of these functions selected for research, which is more appropriate to use the case and the determination of superiority to each other
6 determining the relationship between decision variables used in the process
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week The definition of statistics, variable populations, unit, unit selection and compilation of data types Preparation, After Class Study, Research, Other Activities
2. Week Series in Statistics; time, place and distribution series, accumulated series, composite series and this series is shown in a graphical environment Preparation, After Class Study, Research, Other Activities
3. Week Sensitive averages; the arithmetic mean, weighed arithmetic mean, geometric mean and mean square Preparation, After Class Study, Research, Other Activities
4. Week Non-sensitive average; mode and median Preparation, After Class Study, Research, Other Activities
5. Week Change range, standard deviation, coefficient of variation, variance Preparation, After Class Study, Research, Other Activities
6. Week Estimation theory Preparation, After Class Study, Research, Other Activities
7. Week Hypothesis testing to determine the level of significance Preparation, After Class Study, Research, Other Activities
8. Week Chi-square test Preparation, After Class Study, Research, Other Activities
9. Week General Repeat Preparation, After Class Study, Research, Other Activities
10. Week Case studies Preparation, After Class Study, Research, Other Activities
11. Week Case studies Preparation, After Class Study, Research, Other Activities
12. Week Correlation analysis Preparation, After Class Study, Research, Other Activities
13. Week Regression analysis Preparation, After Class Study, Research, Other Activities
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 Having adequate infrastructure in the fields of law, accounting, basic management, management and field; To use theoretical and practical knowledge in these areas.
2 To be able to interpret and evaluate data, to identify and analyze data using basic knowledge and skills acquired in the field, and to be able to develop evidence-based solutions.
3 To be able to identify and effectively use the modern techniques, tools and information technologies required for applications related to the field.
4 Having the ability to conduct feasibility study and realization of project related to the field
5 Having the ability to conduct feasibility study and realization of project related to the field
6 To have effective communication skills and to have a level of foreign language ability to follow innovations in the field
7 Awareness of the need for lifelong learning; To monitor the developments in science and technology and to acquire the ability to constantly renew themselves
8 To be conscious of patriotism, Turkish liberty, republican, social responsibility, universal, social and professional ethics depending on Atatürk's principles and reforms.
9 To have knowledge of business law and social security and quality consciousness.
10 To acquire the ability to use computer software and hardware at the basic level required by the field.
11 To acquire practical skills by examining the processes related to the field of public and private sector organizations on site.
12 To be able to open and operate a workplace on its own behalf, to evaluate and supervise the performances of the employees, and to have knowledge and skills in entrepreneurship.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5 DK6
PY1 1 1 1 1 1 1
PY2 4 4 4 4 4 4
PY3 4 4 4 4 4 4
PY4 4 4 4 4 4 4
PY6 1 1 1 1 1 1
PY7 2 2 2 2 2 2
PY8 1 1 1 1 1 1
PY9 1 1 1 1 1 1
PY10 1 1 1 1 1 1
PY11 2 2 2 2 2 2
PY12 1 1 1 1 1 1
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • İstatistik(2006), Anadolu Üniversitesi AÖF Yayınları.
  • Nemci GÜRSAKAL(2000), İstatistiğin ABC’si, Marmara Kitabevi.
  • Course Notes
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 2 28
Ders Dışı
Preparation, After Class Study 10 4 40
Sınavlar
Midterm 1 1 14 14
Final 1 20 20
Total Workload 102
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 4.0