İGT091 Applied Statistics in Occupational Safety

7 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code İGT091
Name Applied Statistics in Occupational Safety
Term 2022-2023 Academic Year
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 7 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. BELKIS ZERVENT ÜNAL


Course Goal / Objective

It is aimed to select and to apply the statistical methods for the data obtained with diffirent studies.

Course Content

The importance of statistical methods in occupational health and safety applications. Frequency distributions, measures of central tendency and dispersion, the concepts of median and mode, standard deviation. Types of continuous and discontinuous distribution. Creating chart. Parametric tests, non-parametric tests. The normal distribution test, randomness test, analysis of variance. t-test, regression analysis, correlation analysis, curve estimation. Occupational health and safety applications of statistical methods with the help of computer-aided statistical package program. Optimization techniques, mathematical modeling. The use of optimization package program. Practices with the sample data sets.

Course Precondition

There are no prerequisites.

Resources

Lecture notes prepared by the course coordinator

Notes

Özdamar K., Statistical Data Analysis with Package Programs, Nisan Bookstore Publications


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Can apply selected statistical methods with the help of package programs
LO02 Interprets the statistical analysis applied
LO03 Choose the appropriate test method
LO04 Can use the selected package program at least moderately.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Learns the legislation on occupational health and safety 2
PLO02 Bilgi - Kuramsal, Olgusal Know the sources of danger in workplaces, the hazards and define the danger.
PLO03 Bilgi - Kuramsal, Olgusal Learns risk assessment methods.
PLO04 Bilgi - Kuramsal, Olgusal Prepare risk assessment tables and learn documentation procedure
PLO05 Bilgi - Kuramsal, Olgusal Learn occupational diseases and ergonomic risk factors 4
PLO06 Bilgi - Kuramsal, Olgusal Makes the selection of personal protective equipment and equipment required to be ignored. 4
PLO07 Bilgi - Kuramsal, Olgusal Learns personal exposure and media measurement techniques 2
PLO08 Bilgi - Kuramsal, Olgusal To gain the basic occupational health and safety training
PLO09 Bilgi - Kuramsal, Olgusal Learn the formation and responsibilities of occupational health and safety committees.
PLO10 Bilgi - Kuramsal, Olgusal Students will be able to prepare emergency action plans in workplaces.
PLO11 Bilgi - Kuramsal, Olgusal Learn the physical, chemical and biological risk factors in workplaces.
PLO12 Bilgi - Kuramsal, Olgusal Learns occupational health and safety management systems and gains the ability to make planning.


Week Plan

Week Topic Preparation Methods
1 The importance of statistical methods in occupational health and safety applications Reference Books Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
2 Frequency distributions, measures of central tendency and dispersion, the concepts of median and mode, standard deviation Implementation of the gained theoretical knowledges with software Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
3 Types of continuous and discontinuous distribution. Creating chart Implementation of the gained theoretical knowledges with software Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
4 Parametric tests, non parametric tests Implementation of the gained theoretical knowledges with software Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
5 The normal distribution test, randomness test, analysis of variance Implementation of the gained theoretical knowledges with software Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Practice with the sample data sets. Implementation of the gained theoretical knowledges with software Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 t-test, regression analysis, correlation analysis, curve estimation Implementation of the gained theoretical knowledges with software Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
8 Mid-Term Exam Implementation of the gained theoretical knowledges with software Ölçme Yöntemleri:
Ödev
9 Practice Implementation of the gained theoretical knowledges with software Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 Applications of statistical methods with the help of computer-aided statistical package programme Implementation of the gained theoretical knowledges with software Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
11 Applications of computer-aided statistical package programme Implementation of the gained theoretical knowledges with software Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 Optimization techniques, mathematical modeling Implementation of the gained theoretical knowledges with software Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
13 The use of optimization package program Implementation of the gained theoretical knowledges with software Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
14 Applications of optimization package program Implementation of the gained theoretical knowledges with software Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
15 General Revision Implementation of the gained theoretical knowledges with software Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
16 Term Exams Implementation of the gained theoretical knowledges with software Ölçme Yöntemleri:
Ödev
17 Term Exams Implementation of the gained theoretical knowledges with software Ölçme Yöntemleri:
Ödev


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 2 5 10
Mid-term Exams (Written, Oral, etc.) 1 18 18
Final Exam 1 30 30
Total Workload (Hour) 170
Total Workload / 25 (h) 6,80
ECTS 7 ECTS

Update Time: 16.11.2022 10:28