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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Statistics OGP217 Elective Associate degree 2 Fall 4

Name of Lecturer(s)

Lecturer Dr. Barış DEMİR

Learning Outcomes of the Course Unit

1) Gather the data to be used in decision making process
2) Show the data collected in operation and displaying the data in various graphics
3) Use central trends and distribution measurements
4) Determine functions to be used in research belonging to the sample selected among the group research will be conducted
5) Determine which functions selected concerning the research will be used in which situations and determining superiority to each other
6) Determine relations between variants used in decision making process

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
Learning Outcomes
1 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation High No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
2 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation High No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
3 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation High No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
4 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation High No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
5 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation High No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
6 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation High No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Not Required

Course Contents

It is aimed that definition of statistics, basic concepts used, data types, and gathering methods, organizing data, central trend measures, distribution measures, estimation theory, correlation analysis, regression analysis and indexes will be taught.

Recommended or Required Reading

Planned Learning Activities and Teaching Methods



Assessment Methods and Criteria

Contribution of Semester Studies to Course Grade

50%

 

Number

Percentage

Semester Studies

Short Exam / Quiz

2

90%

Other(s)

1

10%

 

Contribution of Final Examination to Course Grade

50%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required