BAYBURT University Information Package / Course Catalogue

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Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
AYA215B3.1Elective234
Level of Course Unit
First Cycle
Objectives of the Course
The aim of the course is to teach students the basic elements of statistics and probability, define data sets, calculate probability and calculate expected value.
Name of Lecturer(s)
Dr. Öğr. Üyesi Sinan KUL
Learning Outcomes
1Gain research skills.
2Gains the ability to develop hypothesis.
3Gain the ability to develop methods and methods.
4Learns the differences between methods, the strengths and weaknesses of each method.
5The concept of error and how to measure the error is learned.
6It is learned that the comments should be based on scientific reasons and method.
7It is learned that health events are not random but they have defined distributions.
8The ability to make prediction is gained.
9Measurement of relational concepts between events is learned.
10Gain the ability to analyze statistics.
Mode of Delivery
Normal Education
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Basic Concepts Related to Statistics
2Descriptive Statistics
3Prevalence Measures
4Sample Volume Problem in Research
5Sampling Methods
6Hypothesis Testing
7Analysis of Variance
8Midterm Exam
9Multiple Comparison Methods
10Correlation Analysis
11Regression Analysis
12Chi-square Test
13Life Analysis
14Odds and Relative Risk Rates
15Nonparametric Tests
16Final Exam
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination111
Final Examination111
Attending Lectures14342
Practice7214
Question-Answer7214
Self Study14114
Individual Study for Homework Problems000
Individual Study for Mid term Examination7214
Individual Study for Final Examination7214
TOTAL WORKLOAD (hours)114
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
PO
7
PO
8
PO
9
LO14  31  4 
LO23  31  4 
LO31  21  2 
LO42  31  4 
LO55  32  3 
LO65  21  2 
LO75  21  3 
LO85  32  5 
LO93  12  4 
LO103  21  3 
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High