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. Fisun KAŞKIR KESİN
Instructor(s) Öğr. Gör. Fisun KAŞKIR KESİN (Bahar)
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 student collects data to be used in the decision-making process, organizes the collected data to present it to relevant parties, and displays this data in various graphical formats.
2 Using measures of central tendency and dispersion, the student can make relevant determinations about around which values the data group is concentrated and what distribution characteristics it exhibits.
3 The student distinguishes between basic sampling methods (simple random, systematic, stratified, and cluster sampling) and selects and applies the appropriate sampling method according to different research problems.
4 The student explains the fundamental concepts of statistical hypothesis testing and estimation theory; selects appropriate methods to perform hypothesis tests, calculates confidence intervals, and interprets the results.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week The definition of statistics, basic concepts in statistics Preparation, After Class Study, Research
2. Week Basic concepts in statistics Preparation, After Class Study, Research
3. Week Series in statistics; time, place and distribution series, accumulated series, composite series Preparation, After Class Study, Research, Practice
4. Week Series in statistics; time, place and distribution series, accumulated series, composite series Preparation, After Class Study, Research, Practice
5. Week Graphical representation of series Preparation, After Class Study, Research, Practice
6. Week Measures of central tendency Preparation, After Class Study, Practice, Lecture
7. Week Measures of central tendency Preparation, After Class Study, Practice, Lecture
8. Week Measures of variability Preparation, After Class Study, Practice, Lecture
9. Week Measures of variability Preparation, After Class Study, Practice, Lecture
10. Week Sampling Preparation, After Class Study, Research, Other Activities, Presentation (Preparation)
11. Week Sampling methods Preparation, After Class Study, Research, Other Activities, Presentation (Preparation), Practice
12. Week Sampling methods Preparation, After Class Study, Research, Other Activities, Presentation (Preparation), Practice
13. Week Statistical estimation Preparation, After Class Study, Research, Practice
14. Week Hypothesis tests Preparation, After Class Study, Research, Practice
*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 Being conscious about principles of Atatürk, having knowledge in the history of revolutions, patriotic, fond of Turkish Independence, adhere to national and spiritual values.
2 To know the structure and rules of Turkish language, to use Turkish properly and effectively.
3 To know the basic concepts and development processes of the social security field and to aim for continuous development in the field.
4 To have knowledge and skills about the services and transactions performed by the officials of the Social Security Institution and Turkish Employment Agency.
5 To do operation related to social security in private entities, public institutions, municipalities and other public service entities, to develop solutions to institutional problems.
6 Having basic economics knowledge in world, Turkey and business, to be able to interpret, analyze, criticize and synthesize both economic and professional issues.
7 Having the knowledge and skills about the insurance transactions made in insurance companies, to work in accordance with quality management and processes.
8 To know the legal responsibilities and follow the up-to-date social security legislation.
9 To have knowledge of a foreign language that can follow the literature and innovations in the field.
10 To have knowledge and skills to do social security procedures in computer environment, to be able to use computer software prepared about internet technologies and office and social security procedures.
11 As a social security professional, having knowledge and awareness of social responsibility, professional ethics and social security rights.
12 Having the consciousness of working in the service sector, To communicate effectively with the people they serve, Having basic knowledge in the field of human resources with an understanding of team work.
13 To have the knowledge and skills to support accounting and tax transactions and practices in the workplace where they work.
14 Having occupational health and safety, workers' rights and responsibilities, social services, material and spiritual care and environmental protection knowledge and consciousness due to being closely related to social security.
15 To be able to establish and operate a workplace on its own behalf, to evaluate and supervise the performances of the employees, to have knowledge and skills in entrepreneurship.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4
PY1 1 1 1 1
PY2 0 0 0 0
PY3 0 0 0 0
PY4 2 2 2 2
PY5 1 1 1 1
PY6 3 3 3 3
PY7 3 3 3 3
PY8 0 0 0 0
PY9 0 0 0 0
PY10 0 0 0 0
PY11 0 0 0 0
PY12 0 0 0 0
PY13 3 3 3 3
PY14 0 0 0 0
PY15 4 4 4 4
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 14 14
Final 1 20 20
Total Workload 102
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 4.0