BAYBURT University Information Package / Course Catalogue

Home Information on the Institution Information on Degree Programmes General Information for Students
Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
YÖN201BStatistics ICompulsory234
Level of Course Unit
First Cycle
Objectives of the Course
This course helps students understand and develop the skills of using statistical methods employed in social sciences effectively.
Name of Lecturer(s)
Prof. Dr. Vecihi AKSAKAL
Learning Outcomes
1Gaining knowledge of basic business and populer statistical concepts.
2Acquring skill of calculating statistical parameters.
3Knowing basic statistical concepts and having ability to interpret them.
4Acquiring ability for interdisiplinary and intradisiplinary team study.
Mode of Delivery
Normal Education
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Descriptive statistics, means and deviation, Skewness and curtiosity, probality and probability distributions, sampling and sample distribution, point and interval estimation, hpothesis testing
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1What is statistics? Story and importance.
2Basic terms of statistic and levels of measurement
3Organizing data and statistic distributions.
4Graphical presentation of distributions
5Means: Arithmetic mean, Weighted mean, Geometric mean and Quadratic mean
6Means: median and mode
7Measures of skewness
8Midterm Exam
9Measures of skewness
10Measures of skewness
11Probability: Calculating probability and conditional probability
12Probability: rule of addition, rule of multiplication, tree diagram, Bayes' theorem
13Probability Distribution: Binomial and Poisson probability distribution
14Probability Distribution: Normal distribution
15General assessment
Recommended or Required Reading
Çömlekçi, N. (1998), Temel İstatistik, Bilim Teknik Yayınevi, İstanbul Atlas, M. (2007),İstatistik I, Aktüel Tanıtım ve Ofset, Eskişehir Serper, Ö. (1996), Uygulamalı İstatistik 1, Filiz Kitapevi, İstanbul Gürsakal N. (2007), Betimsel İstatistik.
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 Examination111
Final Examination122
Attending Lectures14456
Problem Solving14114
Brain Storming14114
Individual Study for Mid term Examination6212
Individual Study for Final Examination616
Homework616
TOTAL WORKLOAD (hours)111
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
LO1333333
LO2333333
LO3444444
LO4333333
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High