Skip to main content

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
PROBABILITY and STATISTICS-Fall Semester3+037
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelSecond Cycle (Master's Degree)
Course TypeElective
Course CoordinatorAssist.Prof. Mutlu GÜRSOY
Name of Lecturer(s)Assist.Prof. Mutlu GÜRSOY
Assistant(s)
AimThe Course focuses on the basic probability and statistics subjects to help the students understand and solve practical problems
Course ContentThis course contains; Combinatorial Analysis,Introduction to Probability,Conditional Probability and Independence,Random Variables and Expectation,Special Random Variables,Sampling Theory,Distributions of Sampling Statistics,Limit Theorems,Research Design,Parameter Estimation,Hypothesis Testing,Categorical Data and Non-parametric Methods,Linear Statistical Models,Simulation.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Explains the importance of statistics and probability in their studies.10, 16, 9A, E
1.1 Applies probablity rules
1.2 Interpretes statistical distributions and populations
1.3 Calculates summary statistics of a data
2. Calculates probabilities for given events.10, 16, 9A, E
2.1 Applies Conditional Probabilities
2.2 Applies Bayes rule
2.3 Applies Probability Sample Selection Procedures
3. Organizes information within the framework of descriptive statistics.10, 16, 9A, E
3.1 Explains the meaning of Measures of Central Tendency
3.2 Explains the meaning of Measures of Variability
3.3 Interpretes Confidence Intervals
4. Applies parametric and non-parametric statistical tests.10, 16, 9A, E
4.1 Develops a Statistical Hypothesis
4.2 Chooses the Appropriate Statistical Test or Procedure
4.3 Executes One-way Analysis of Variance
5. Defines survey research and experimental designs.10, 16, 9A, E
5.1 Summarizes Types of Survey Studies
5.2 Plans a Survey Study
5.3 Summarizes Types of Experimental Designs
Teaching Methods:10: Discussion Method, 16: Question - Answer Technique, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework

Course Outline

OrderSubjectsPreliminary Work
1Combinatorial AnalysisThe relevant section will be read from the lecture notes and the book.
2Introduction to ProbabilityThe relevant section will be read from the lecture notes and the book.
3Conditional Probability and IndependenceThe relevant section will be read from the lecture notes and the book.
4Random Variables and ExpectationThe relevant section will be read from the lecture notes and the book.
5Special Random VariablesThe relevant section will be read from the lecture notes and the book.
6Sampling TheoryThe relevant section will be read from the lecture notes and the book.
7Distributions of Sampling StatisticsThe relevant section will be read from the lecture notes and the book.
8Limit TheoremsThe relevant section will be read from the lecture notes and the book.
9Research DesignThe relevant section will be read from the lecture notes and the book.
10Parameter EstimationThe relevant section will be read from the lecture notes and the book.
11Hypothesis TestingThe relevant section will be read from the lecture notes and the book.
12Categorical Data and Non-parametric MethodsThe relevant section will be read from the lecture notes and the book.
13Linear Statistical ModelsThe relevant section will be read from the lecture notes and the book.
14SimulationThe relevant section will be read from the lecture notes and the book.
Resources
Lecture Notes
[1]Chiristopher A. Janicak, Applied Statistics in Occupational Safety and Health, Second Edition, Government Institutes, 2007 [2]Morris H. DeGroot, Mark J. Schervish, Probability and Statistics, Fourth Edition, Pearson Education, 2012 [3]Sheldon M. Ross, Introduction to Probability and Statistics for Engineers and Scientists, Third Edition, Elsevier, 2004

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
In light of the current developments in the field of occupational health and safety, have knowledge about the main sources, legislation and jurisprudence which related to the private law.
2
With understanding relationships among concept, institution and method that related to disciplines of occupational health and safety, establish a connection between them.
3
Reach scientific knowledge in the field of occupational health and safety, evaluate, and use this information to solve problems.
X
4
Implement the idea about individual and social problems of occupational health and safety and in the light of current developments find resolutions.
5
Solve the problems encountered practice by using research methods that field of occupational health and safety.
X
6
Carry out an independent study which needs expertise in the field of occupational health and safety.
7
Develop different perspectives and take responsibility to solve complex issues which require expertise and encountered in the field of occupational health and safety.
8
Critically evaluate acquired knowledge and skills in the field of occupational health and safety.
9
Develop a positive attitude towards lifelong learning and convert it to behavior.
X
10
It communicates current developments in the field of Occupational Health and Safety and their own work in a systematic way in writing, verbally and visually to groups in and out of the field, supporting quantitative and qualitative data.
11
Critically question concepts and institutions of occupational health and safety, settled practice and norms and when necessary develop and attempt to change them.
12
Use software which in the level required by the field occupational health and safety and information and communication technologies in the advanced level.
13
Take into consideration and internalize social, scientific and ethical values in the process of gathering, processing and evaluating information about field of occupational health and safety.
X
14
With developing understanding of honesty and ethics are required to be an expert, teach around them.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 50
Rate of Final Exam to Success 50
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours14342
Guided Problem Solving7642
Resolution of Homework Problems and Submission as a Report12020
Term Project000
Presentation of Project / Seminar12020
Quiz11010
Midterm Exam12525
General Exam14040
Performance Task, Maintenance Plan000
Total Workload(Hour)199
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(199/30)7
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
PROBABILITY and STATISTICS-Fall Semester3+037
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelSecond Cycle (Master's Degree)
Course TypeElective
Course CoordinatorAssist.Prof. Mutlu GÜRSOY
Name of Lecturer(s)Assist.Prof. Mutlu GÜRSOY
Assistant(s)
AimThe Course focuses on the basic probability and statistics subjects to help the students understand and solve practical problems
Course ContentThis course contains; Combinatorial Analysis,Introduction to Probability,Conditional Probability and Independence,Random Variables and Expectation,Special Random Variables,Sampling Theory,Distributions of Sampling Statistics,Limit Theorems,Research Design,Parameter Estimation,Hypothesis Testing,Categorical Data and Non-parametric Methods,Linear Statistical Models,Simulation.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Explains the importance of statistics and probability in their studies.10, 16, 9A, E
1.1 Applies probablity rules
1.2 Interpretes statistical distributions and populations
1.3 Calculates summary statistics of a data
2. Calculates probabilities for given events.10, 16, 9A, E
2.1 Applies Conditional Probabilities
2.2 Applies Bayes rule
2.3 Applies Probability Sample Selection Procedures
3. Organizes information within the framework of descriptive statistics.10, 16, 9A, E
3.1 Explains the meaning of Measures of Central Tendency
3.2 Explains the meaning of Measures of Variability
3.3 Interpretes Confidence Intervals
4. Applies parametric and non-parametric statistical tests.10, 16, 9A, E
4.1 Develops a Statistical Hypothesis
4.2 Chooses the Appropriate Statistical Test or Procedure
4.3 Executes One-way Analysis of Variance
5. Defines survey research and experimental designs.10, 16, 9A, E
5.1 Summarizes Types of Survey Studies
5.2 Plans a Survey Study
5.3 Summarizes Types of Experimental Designs
Teaching Methods:10: Discussion Method, 16: Question - Answer Technique, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework

Course Outline

OrderSubjectsPreliminary Work
1Combinatorial AnalysisThe relevant section will be read from the lecture notes and the book.
2Introduction to ProbabilityThe relevant section will be read from the lecture notes and the book.
3Conditional Probability and IndependenceThe relevant section will be read from the lecture notes and the book.
4Random Variables and ExpectationThe relevant section will be read from the lecture notes and the book.
5Special Random VariablesThe relevant section will be read from the lecture notes and the book.
6Sampling TheoryThe relevant section will be read from the lecture notes and the book.
7Distributions of Sampling StatisticsThe relevant section will be read from the lecture notes and the book.
8Limit TheoremsThe relevant section will be read from the lecture notes and the book.
9Research DesignThe relevant section will be read from the lecture notes and the book.
10Parameter EstimationThe relevant section will be read from the lecture notes and the book.
11Hypothesis TestingThe relevant section will be read from the lecture notes and the book.
12Categorical Data and Non-parametric MethodsThe relevant section will be read from the lecture notes and the book.
13Linear Statistical ModelsThe relevant section will be read from the lecture notes and the book.
14SimulationThe relevant section will be read from the lecture notes and the book.
Resources
Lecture Notes
[1]Chiristopher A. Janicak, Applied Statistics in Occupational Safety and Health, Second Edition, Government Institutes, 2007 [2]Morris H. DeGroot, Mark J. Schervish, Probability and Statistics, Fourth Edition, Pearson Education, 2012 [3]Sheldon M. Ross, Introduction to Probability and Statistics for Engineers and Scientists, Third Edition, Elsevier, 2004

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
In light of the current developments in the field of occupational health and safety, have knowledge about the main sources, legislation and jurisprudence which related to the private law.
2
With understanding relationships among concept, institution and method that related to disciplines of occupational health and safety, establish a connection between them.
3
Reach scientific knowledge in the field of occupational health and safety, evaluate, and use this information to solve problems.
X
4
Implement the idea about individual and social problems of occupational health and safety and in the light of current developments find resolutions.
5
Solve the problems encountered practice by using research methods that field of occupational health and safety.
X
6
Carry out an independent study which needs expertise in the field of occupational health and safety.
7
Develop different perspectives and take responsibility to solve complex issues which require expertise and encountered in the field of occupational health and safety.
8
Critically evaluate acquired knowledge and skills in the field of occupational health and safety.
9
Develop a positive attitude towards lifelong learning and convert it to behavior.
X
10
It communicates current developments in the field of Occupational Health and Safety and their own work in a systematic way in writing, verbally and visually to groups in and out of the field, supporting quantitative and qualitative data.
11
Critically question concepts and institutions of occupational health and safety, settled practice and norms and when necessary develop and attempt to change them.
12
Use software which in the level required by the field occupational health and safety and information and communication technologies in the advanced level.
13
Take into consideration and internalize social, scientific and ethical values in the process of gathering, processing and evaluating information about field of occupational health and safety.
X
14
With developing understanding of honesty and ethics are required to be an expert, teach around them.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 50
Rate of Final Exam to Success 50
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 28/11/2023 - 01:08Son Güncelleme Tarihi: 28/11/2023 - 01:08