Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Occupational Health And Job Security SOG1512 Turkish Compulsory 2. Semester 1 + 1 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 Midterm Preparation, After Class Study, Research, Other Activities
10. Week Case studies Preparation, After Class Study, Research, Other Activities
11. Week Correlation analysis Preparation, After Class Study, Research, Other Activities
12. Week Regression analysis Preparation, After Class Study, Research, Other Activities
13. Week indexes Preparation, After Class Study, Research, Other Activities
14. Week indexes
*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.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5 DK6
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.
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 3 42
Ders Dışı
Preparation, After Class Study 14 1 14
Sınavlar
Midterm 1 1 11 11
Homework 1 5 2 10
Quiz 1 1 1 1
Final 1 14 14
Practice 6 1 6
Classroom Activities 4 1 4
Total Workload 102
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 4.0