Information
Code | İGT038 |
Name | Applied Statistics in Occupational Safety |
Term | 2023-2024 Academic Year |
Term | Spring |
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 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 | 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 |