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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
DATA VISUALIZATION KKS114 - 3 + 0 5

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITAssociate Degree
YEAR OF STUDY-
SEMESTER-
NUMBER OF ECTS CREDITS ALLOCATED5
NAME OF LECTURER(S)Assistant Professor Gözde Kubat
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) Gains knowledge of data types
2) Can calculate descriptive statistics on data
3) Can make visual drawings of data
4) Can interpret data
MODE OF DELIVERY
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNo
COURSE DEFINITIONGeneral information about the course Data types Data collection methods Application Creating a dataset Descriptive statistics Application Midterm Week Data visualization Application Data visualization Application Data visualization Application
COURSE CONTENTS
RECOMENDED OR REQUIRED READINGProf. Dr. Reha ALPAR - Spor Bilimlerinde Uygulamalı İstatistikler
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSLecture,Discussion,Questions/Answers,Case Study,Problem Solving,Practice,Presentation
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Practice550
Total(%)50
Contribution of In-term Studies to Overall Grade(%)50
Contribution of Final Examination to Overall Grade(%)50
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam
Preparation for Quiz
Individual or group work7749
Preparation for Final exam11010
Course hours14342
Preparation for Midterm exam
Laboratory (including preparation)7321
Final exam111
Homework5525
Total Workload148
Total Workload / 304,93
ECTS Credits of the Course5
LANGUAGE OF INSTRUCTION
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
LO1LO2LO3LO4
K1        X
K2  X   X    
K3  X      
K4      X   X
K5    X    
K6    X    
K7    X    
K8      X  
K9      X  
K10    X    
K11        X
K12      X  
K13  X      
K14    X