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
YÖN202Advanced StatisticsCompulsory244
Level of Course Unit
First Cycle
Objectives of the Course
Teaching basic concepts of statistics provide usage of statistics in daily life and business. To get them comprehend inference about social and economic by using statistical method.
Name of Lecturer(s)
Learning Outcomes
1Gaining knowledge of basic business and populer statistical concepts.
2Acquiring skill of calculating statistical parameters.
3Knowing basic statistical concepts and having ability to interpret them.
4Acquiring ability for interdisciplinary and intradisiplinary team study.
5Gaining oral and verbal communication skills.
6Gaining professional and ethical responsibility skills.
Mode of Delivery
Normal Education
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Statistics 2 course is more based on analytic part of statistics. In this context definition of statistics, topics are given such as, concepts related with statistics, hypothesis testing, regression, correlation, time series.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Hypothesis tests-Z test, T test
2X2 tests
3X2 tests
4Anova test
5Anova test
6Regression analysis
7Regression analysis
8MIDTERM
9Correlation analysis
10Correlation analysis
11Time series
12Time series
13İndexes
14İndexes
15İndexes
16FINAL EXAM
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination140
Individual Study for Mid term Examination1560
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination160
Individual Study for Final Examination1540
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 Examination11515
Final Examination11515
Individual Study for Mid term Examination15345
Individual Study for Final Examination15345
TOTAL WORKLOAD (hours)120
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
LO1555555
LO2555555
LO3555555
LO4444444
LO5555555
LO6444444
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High