1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF ECONOMICS & ADMINISTRATIVE SCIENCES
  3. PUBLIC FINANCE DEPARTMENT
  4. 208 PUBLIC FINANCE (Evening Classes)
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
EKNM 206OPEN SOURCE CODE PROGRAMMING2 + 28th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective Students will be able to recognize the interfaces of the platforms related to R software, download the necessary packages, read the data sets in different formats, edit the data sets and apply statistical operations, gain the skills to present the calculated statistics with tables and graphs.
Course Content Introduction to R software, the basics of R, summarizing data with R, Data analysis with R, Developing and visualizing statistical model.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Knows the importance of effective use of R language for data analysis.
2Understands the steps required for data analysis.
3Prepare data with R programming language and make statistical modeling.

COURSE'S CONTRIBUTION TO PROGRAM
Data not found.

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
Mid-terms12020
Final examination12626
Total Work Load

ECTS Credit of the Course





130

5
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes