1. SECOND CYCLE - MASTER'S DEGREE
  2. THE GRADUATE SCHOOL OF SOCIAL SCIENCES
  3. MANAGEMENT INFORMATION SYSTEMS DEPARTMENT
  4. 2317 MANAGEMENT INFORMATION SYSTEMS (WİTHOUT THESİS) (EVENİNG 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
YOBS 536EXPERIMENTAL DESIGN AND ANALYSIS3 + 01st Semester6

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective The aim of the course is to use different statistical methods with different package programs.
Course Content The course includes general statistical analysis information, experimental design methods, data collection and data analysis.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1General statistical analysis information
2Experimental design methods
3data collection and data analysis

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
Assignments14141
Mid-terms11313
Final examination11818
Total Work Load

ECTS Credit of the Course





156

6
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2021-2022 Spring1SERKAN DOLMA


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
YOBS 536 EXPERIMENTAL DESIGN AND ANALYSIS 3 + 0 1 Turkish 2021-2022 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. SERKAN DOLMA dolma@pau.edu.tr İİBF B0212 %
Goals The aim of the course is to use different statistical methods with different package programs.
Content The course includes general statistical analysis information, experimental design methods, data collection and data 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