İG038 Applied Statistics in Occupational Safety

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

Information

Code İG038
Name Applied Statistics in Occupational Safety
Term 2023-2024 Academic Year
Term Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 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 Instructor
1


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 Gains the ability to determine the health and safety risks in the working environment 2
PLO02 Bilgi - Kuramsal, Olgusal identify the necessary protective measures in the workplace environment, take measures, employer and employees to gain the ability to provide coordination on occupational health and safety
PLO03 Bilgi - Kuramsal, Olgusal To be able to use the theoretical, technical, application and legal knowledge in occupational safety
PLO04 Bilgi - Kuramsal, Olgusal Gains the ability to have information about the legislation related to the profession and to follow up the current
PLO05 Bilgi - Kuramsal, Olgusal To be able to define and solve the problems encountered in the field of occupational safety with the knowledge and skills acquired in the field of specialization, to use them effectively in their solutions and to solve their solutions by establishing dialogue with the people in the business environment. 4
PLO06 Bilgi - Kuramsal, Olgusal To be able to add innovations, research and evaluate to existing systems and applications related to occupational health and safety, 4
PLO07 Bilgi - Kuramsal, Olgusal Gains the ability to use and know the general information communication technologies, 2
PLO08 Bilgi - Kuramsal, Olgusal Work with the team on first aid, unusual situations, disasters and fire fighting and evacuation.
PLO09 Bilgi - Kuramsal, Olgusal Gains the skill of executing the work in accordance with the legal regulations and conditions, informing the employees and the representatives of the employees
PLO10 Bilgi - Kuramsal, Olgusal Have knowledge about occupational diseases, occupational accidents and prevention,
PLO11 Bilgi - Kuramsal, Olgusal Learns the personal protective equipment used in occupational health and safety,
PLO12 Bilgi - Kuramsal, Olgusal Knows personal exposure and media measurement techniques.


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 varianc 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 Program applications 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 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 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 08.05.2023 02:13