1. THIRD CYCLE - DOCTORATE DEGREE
  2. THE GRADUATE SCHOOL OF SOCIAL SCIENCES
  3. MANAGEMENT INFORMATION SYSTEMS DEPARTMENT
  4. 2619 MANAGEMENT INFORMATION SYSTEMS PHD
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
YOBS 649APPLIED STATISTICS WITH R3 + 02nd Semester7,5

COURSE DESCRIPTION
Course Level Doctorate Degree
Course Type Elective
Course Objective This course provides students with a conceptual and practical understanding of the application of statistics with the R environment
Course Content The R software and programming language, derscriptive statistics, statistical hypothesis testing and confidence interval estimation, correlation and regression analysis
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Learn the programming language R
2Familiarize students with the foundations of statistical analysis
3Teach students basic statistical analysis and data management with R

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001            
LO 002            
LO 003            
Sub Total            
Contribution000000000000

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
Assignments12020
Mid-terms12929
Final examination13232
Presentation / Seminar Preparation13030
Total Work Load

ECTS Credit of the Course





195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2022-2023 Fall1SERKAN DOLMA


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
YOBS 649 APPLIED STATISTICS WITH R 3 + 0 1 Turkish 2022-2023 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. SERKAN DOLMA dolma@pau.edu.tr İİBF B0219 %
Goals This course provides students with a conceptual and practical understanding of the application of statistics with the R environment
Content The R software and programming language, derscriptive statistics, statistical hypothesis testing and confidence interval estimation, correlation and regression analysis
Topics
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes