ISG506 Statistics for Occupational Healty and SafetyIstanbul Okan UniversityDegree Programs Occupational Health and Safety with thesisGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Occupational Health and Safety with thesis
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

General course introduction information

Course Code: ISG506
Course Name: Statistics for Occupational Healty and Safety
Course Semester: Fall
Spring
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 10
Language of instruction: TR
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Department Elective
Course Level:
Master TR-NQF-HE:7. Master`s Degree QF-EHEA:Second Cycle EQF-LLL:7. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi IŞILAY BİLGİÇ
Course Lecturer(s): Dr.Öğr.Üyesi TANER KARASOY
Course Assistants:

Course Objective and Content

Course Objectives: The purpose of this course is to know the general aspects of quantitative analysis In this course, research methods, The quantitative analysis approach, regression models, forecasting, linear programming, goal programming, decision analysis, game theory will be explained in details.
Course Content: Statistical Analysis and Decision Making Course is to teach all the techniques and methods that enable decision making under uncertainty.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) Identify and define variables in statistical events.
2 - Skills
Cognitive - Practical
1) Determines how to specify, collect and edit statistical data.
3 - Competences
Communication and Social Competence
Learning Competence
1) Provides the skills necessary for optimal decision making.
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) • Examines course syllabus. • Explain the concept of quantitative analysis. • Explain the concept of qualitative analysis. • Explain the quantitative analysis approach.
2) • Define the research problem. • Analyzes the development of the quantitative analysis model. • Lists the major problems identified by the research question. • Lists possible problems with the quantitative analysis approach. Cinemre (2011), Reading Section 1, pp.1-30.
3) • Explain the concept of probability and its applications. • Explain statistically independent events. • Describes statistically dependent events. • Defines the general form of the Bayes theorem. • Defines random variables. • Analyzes the probability distribution. Reading of distributed sources Taha (2010), Chapter 12, pp. 471-484.
4) • Analyzes Binomial distribution. • Analyzes the normal distribution. • Analyzes F distribution. • Analyzes exponential distribution. • Analyzes the Poisson distribution. Reading of distributed sources Taha (2010), Chapter 12, pp. 484-496.
5) • Lists the six steps in the decision-making process. • Describes the types of decision making. • Define decision-making under uncertainty. • Lists the types of decision making under uncertainty. • Define decision-making at risk. • Lists the types of risk-taking decisions Reading of distributed sources
6) • Decision trees are defined. • Defines the utility theory. • Explain the concept of benefit as a decision-making criterion. Reading of distributed sources
7) • Explain the regression model. • Analyzes simple linear regression. • Analyzes the multiple regression model. • Analyzes the nonlinear regression model. Reading of distributed sources
8) Midterm Exam Study for mid-term exam
9) • Explain the concept of future prediction. • Describes the types of future predictions. • Analyzes the time series components. • Analyzes the regression with trend and seasonality. • Analyze how to monitor and control future forecasting.
10) • Analyzes linear program models. • Lists and explains the requirements of linear programming. • Formulate linear programming problems. • It shows how to use graphical solution in linear programming problem. Cinemre (2011), Reading Section 2, pp. 35-109.
11) • The minimization solves the problem. • Analyzes four special cases in linear programming. • Describes and explains sensitivity analysis. Cinemre (2011), Reading Section 3, pp.129-200.
12) • Identify and explain marketing practices. • Identify and explain production practices. • Identify and explain business planning practices. • Identify and disclose their financial applications. • Identifies and explains the component mixing applications. • Identify and explain transportation practices. • Classify linear programming applications. • Formulate linear programming problems. Reading of distributed sources
13) • Analyzes integer programming. • Analyzes target programming. • Analyzes nonlinear programming. • Discuss the difference between target programming and linear programming. Cinemre (2011), Chapter 6 Reading, pp. 355-398.
14) • Analyzes game theory. • Lists the five tactics of game theory. • Solves game theory problems with linear programming. Cinemre (2011), Reading Section 11, pp.691-734.
15) Final Exam Study for the final exam

Sources

Course Notes / Textbooks: Yöneylem Araştırması
Nalan Cinemre
Evrim Yayınevi, Istanbul, 2011
ISBN : 9789755032078
References: Yöneylem Araştırması
Nalan Cinemre
Evrim Yayınevi, Istanbul, 2011
ISBN : 9789755032078

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

Program Outcomes
1) To have comprehensive and up-to-date information on workplace environmental factors, working conditions and protection principles.
2) To know the legislation on occupational health and safety and to follow the current developments
3) Knowledge of risk analysis
4) To have information about research methods on Occupational Health and Safety and statistical methods used in research
5) To have the ability to identify the health and safety problems of employees in many sectors, to produce solutions, to develop, implement and evaluate programs by using methods and tools appropriate to the knowledge and skills gained in the field.
6) Recognizes and knows personal protective equipment used in occupational health and safety.
7) Understands common rules in different fields of Occupational Health and Safety, participates in teamwork in identifying and solving problems related to Occupational Health and Safety, and shares information.
8) Conducts research, presentation and reporting on the main issues related to Occupational Health and Safety.
9) Acts in accordance with scientific and professional ethical principles in its studies in the field of Occupational Health and Safety and in all academic studies.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) To have comprehensive and up-to-date information on workplace environmental factors, working conditions and protection principles.
2) To know the legislation on occupational health and safety and to follow the current developments
3) Knowledge of risk analysis
4) To have information about research methods on Occupational Health and Safety and statistical methods used in research
5) To have the ability to identify the health and safety problems of employees in many sectors, to produce solutions, to develop, implement and evaluate programs by using methods and tools appropriate to the knowledge and skills gained in the field.
6) Recognizes and knows personal protective equipment used in occupational health and safety.
7) Understands common rules in different fields of Occupational Health and Safety, participates in teamwork in identifying and solving problems related to Occupational Health and Safety, and shares information.
8) Conducts research, presentation and reporting on the main issues related to Occupational Health and Safety.
9) Acts in accordance with scientific and professional ethical principles in its studies in the field of Occupational Health and Safety and in all academic studies.

Learning Activity and Teaching Methods

Field Study
Expression
Brainstorming/ Six tihnking hats
Individual study and homework
Lesson
Homework

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Oral Examination
Homework
Individual Project
Group project
Presentation

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Attendance 1 % 10
Homework Assignments 1 % 20
Midterms 1 % 30
Final 1 % 40
total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Workload
Course Hours 15 45
Study Hours Out of Class 15 90
Homework Assignments 15 30
Midterms 1 25
Final 1 35
Total Workload 225