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
Gi205StatisticsCompulsory235
Level of Course Unit
First Cycle
Objectives of the Course
The aim of the course is to apply some of the basic concepts of probability and statistics to economics and business problems. This course presents many examples of common statistical methods for students who want to focus on descriptive relationships and knowledge-intensive areas
Name of Lecturer(s)
Prof. Dr. Vecihi AKSAKAL
Learning Outcomes
1Define basic statistics and probability concepts and rules.
2Describe data and summarize descriptive relationships
3Describe categorical and numerical variables and explain the relationships between them graphically
4Understand the measures of central tendency and variability and examine the relationships between variables
5Can summarize data and interpret graphics.
Mode of Delivery
Normal Education
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1What is statistics
2Basic concepts of statistics
3Organizing and submitting data
4Classified frequency series
5Arithmetic, geometric, harmonic mean
6Mode and Median
7Data Types and Data Collection Methods
8Midterm
9deviations
10Possibility
11Permutation
12Chi-square test
13Sample problem solutions
14An overview
15Final Exam
Recommended or Required Reading
Statistical Research Methods, Assoc. Dr. I. Esen Yıldırım, 2015
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
English
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination111
Final Examination122
Attending Lectures14342
Self Study10330
Individual Study for Mid term Examination11212
Individual Study for Final Examination21224
Homework21428
TOTAL WORKLOAD (hours)139
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
LO1232243333
LO2243343444
LO3243333444
LO4234333344
LO5343344444
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High