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
G206B2Computer Aided Statistical AnalysisCompulsory242
Level of Course Unit
First Cycle
Objectives of the Course
With this course, students learn basic statistical processes and statistical computer software program is intended to do with the application.
Name of Lecturer(s)
Doç Dr. Aybike Kamiloğlu
Learning Outcomes
1Knows the basic concepts of statistics, formation of data and analysis of data
2Knows the basic concepts and features of distribution measurements
3Knows the basic concepts and properties of continuous probability distributions
4Knows the basic concepts and properties of discontinuous probability distributions
5Knows the structure and properties of confidence intervals.
6Knows the structure and properties of hypothesis tests
7Knows the structure and properties of chi-square.
8Knows the structure and properties of correlation-regression
Mode of Delivery
Normal Education
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Probability calculations, statistical analysis, hypothesis testing,
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Collect data
2Convert the data to series
3Computer data entry and fundamental analysis with statistical software program
4To calculate the variability measures of the series
5To calculate the probabilities
6Probability calculations with a statistical software program on computer
7Analyzing with random variables
8Midterm exam
9To sample
10Hypothesis tests to learn
11Know which types of testing
12To analyze the relationship between the variables
13To analyze the relationship between the variables
14Index calculations do
15Index calculations with statistical software program to do
Recommended or Required Reading
Teori ve Uygulamalarıyla İstatistiksel Yöntemler, Enis Sınıksaran, 3. Baskı, Türkmen Kitabevi, 2011.
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 Examination122
Attending Lectures14228
Individual Study for Mid term Examination11010
Individual Study for Final Examination11212
Reading177
TOTAL WORKLOAD (hours)60
Contribution of Learning Outcomes to Programme Outcomes
PO
1		PO
2		PO
3		PO
4		PO
5		PO
6
LO1333333
LO2332222
LO3232322
LO4211122
LO5122121
LO6212122
LO7211221
LO8221212
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High