1. THIRD CYCLE - DOCTORATE DEGREE
  3. EDUCATIONAL SCIENCES DEPARTMENT
  4. 2189 ASSESSMENT AND EVALUATION IN EDUCATION
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EÖD 512INTRODUCTION TO STATISTICAL PROGRAMMING LANGUAGES3 + 02nd Semester6

COURSE DESCRIPTION
Course Level Doctorate Degree
Course Type Elective
Course Objective The aim of this course is to perform desired statistical and psychometric operations on data using the statistical programming language.
Course Content Introduction of programming language, interface and basic functions, data types and structures, functions, loops, data visualization, descriptive statistics, inferential statistics, measurement theory applications, data generation and manipulation
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
2Understands programming and algorithm logic.
3Performs descriptive and inferential statistical analyses
4Performs data analysis, editing and visualization.
5Generates and manipulates data.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14PO 15
LO 002               
LO 003               
LO 004               
LO 005               
Sub Total               
Contribution000000000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Assignments2918
Mid-terms12525
Final examination12929
Total Work Load

ECTS Credit of the Course





156

6
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes