TYPE OF COURSE UNIT | Elective Course |
LEVEL OF COURSE UNIT | Associate Degree |
YEAR OF STUDY | - |
SEMESTER | - |
NUMBER OF ECTS CREDITS ALLOCATED | 5 |
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
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MODE OF DELIVERY | |
PRE-REQUISITES OF THE COURSE | No |
RECOMMENDED OPTIONAL PROGRAMME COMPONENT | No |
COURSE DEFINITION | General 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 |
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RECOMENDED OR REQUIRED READING | Prof. Dr. Reha ALPAR - Spor Bilimlerinde Uygulamalı İstatistikler |
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS | Lecture,Discussion,Questions/Answers,Case Study,Problem Solving,Practice,Presentation |
ASSESSMENT METHODS AND CRITERIA | | Quantity | Percentage(%) |
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Practice | 5 | 50 | Total(%) | | 50 | Contribution of In-term Studies to Overall Grade(%) | | 50 | Contribution of Final Examination to Overall Grade(%) | | 50 | Total(%) | | 100 |
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ECTS WORKLOAD |
Activities |
Number |
Hours |
Workload |
Midterm exam | | | | Preparation for Quiz | | | | Individual or group work | 7 | 7 | 49 | Preparation for Final exam | 1 | 10 | 10 | Course hours | 14 | 3 | 42 | Preparation for Midterm exam | | | | Laboratory (including preparation) | 7 | 3 | 21 | Final exam | 1 | 1 | 1 | Homework | 5 | 5 | 25 | Total Workload | | | 148 |
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Total Workload / 30 | | | 4,93 |
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ECTS Credits of the Course | | | 5 |
|
LANGUAGE OF INSTRUCTION | |
WORK PLACEMENT(S) | No |
| |