OSB617 - STATISTICS

Course Name Code Semester Theory
(hours/week)		 Application
(hours/week)		 Credit ECTS
STATISTICS OSB617 Any Semester/Year 3 0 3 8
Prequisites
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Question and Answer
Team/Group Work
 
Instructor (s)Department chair 
Course objectiveThe main aim of this course is to learn basic statistical concepts, to use basic statistical calculations on training data 
Learning outcomes
  1. Defines basic concepts about statistics.
  2. Prepare a frequency chart to make the data meaningful.
  3. Prepare graphs of different types to make the data meaningful.
  4. Calculates central tendency measures.
  5. Calculates change measures.
  6. Evaluates the properties of distributions with the help of central tendency and change measures.
  7. Defines standard normal distribution.
  8. Converts different scores into standard scores to compare each other. Select the type of correlation that is appropriate for different data types and levels. Calculates the correlation coefficient appropriate to different data types and levels. Computes a simple linear regression analysis that provides an alternate predictor of the other.
Course ContentCritical criticism in terms of analysis of research using inferential statistics, the relationship between quantitative research and statistics, basic statistical concepts, numerical data clearing methods, descriptive statistics, inferential statistics, parametric tests, nonparametric tests, frequent mistakes in statistical analysis 
ReferencesHinkle, D. E., Wiersma, W., & Jurs, S. G. (2003). Applied statistics for the behavioral sciences (5th ed.). Boston: Houghton Mifflin.
Field, A. (2000). Discovering statistics using SPSS for Windows. London: Sage.
Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics. 4th edition. Boston: Allyn & Bacon.
 

Course outline weekly

WeeksTopics
Week 1Login
Week 2Basic concepts
Week 3Grouping of Data Graphing
Week 4Data Central Tendency Measurements
Week 5Median, Peak Value
Week 6Midterm
Week 7Change Measures
Week 8Mean, Deviation, Quarter Deviation
Week 9Variance, Standard Deviation
Week 10Covariance correlation
Week 11Other Correlation Techniques
Week 12An overview
Week 13An overview
Week 14An overview
Week 15Final exam
Week 16Login

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments110
Presentation110
Project00
Seminar00
Midterms130
Final exam150
Total100
Percentage of semester activities contributing grade succes150
Percentage of final exam contributing grade succes250
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 4 56
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14456
Presentation / Seminar Preparation22448
Project000
Homework assignment21020
Midterms (Study duration)21020
Final Exam (Study duration) 14040
Total Workload3592240

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Knows the development of autism and comorbid disorders in individuals.   X 
2. Knows and implements professional and publication ethics in the area of education of individuals with autism.    X
3. Follows educational and research developments in the area of autism and shares research findings with national/international stakeholders.  X  
4. Completes the steps of a research study including conducting literature review, developing study methodology, collecting study data, analyzing and reporting research findings X   
5. Discusses the significance of inter-disciplinary roles and collaboration in the area of education of individuals with autism and uses knowledge and skills in inter-disciplinary works  X  
6. Otizm alanındaki geliÅŸimsel, eÄŸitsel ve sosyal sorunlara farklı bilimsel araÅŸtırma paradigmaları ile çözümler sunar.  X  
7. Knows, compares, and analyzes evidence based practices in the area of education of individuals with autism.   X 
8. Conducts assessments, plans and implements educational/developmental interventions using theoretical and practical knowledge in the area of education of individuals with autism. X   
9. Support and maintain professional development and life-long learning following theoretical and practical developments X   
10. Uses effective technology-based practices in the area of education of individuals with autism.X    

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest