Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
3PSK213Sosyal Bilimlerde Bilgisayar Uygulamaları2+2+036

Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Psychology
Mode of Delivery Face to Face
Type of Course Unit Compulsory
Objectives of the Course To reinforce the basic statistical concepts used in Social Informatics, to learn SPSS data analysis is used.
Course Content Introduction to data processing, use of packet programs for statistical analysis, application of standard significance tests, basic regression and variance analysis.
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Undefined ders bu dönem açılmamıştır
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Dennis Howitt & Dunkan Cramer, (2011), Introduction to Spss Statistics in Psychology (For version 19 and earlier) 5th Edition, Pearson, (ISBN: 9780273734260)
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Course Category
Social Sciences %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 40
Final examination 1 % 60
Total
2
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 2 28
Hours for off-the-c.r.stud 14 4 56
Assignments 14 4 56
Mid-terms 1 3 3
Practice 14 2 28
Final examination 1 3 3
Total Work Load   Number of ECTS Credits 6 174

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Can understand the interface of SPSS program.
2 Can introduce basic menus.
3 New database can be created.
4 Describe the descriptive statistics.
5 Can apply the Significance Tests.


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Basic Concepts of Statistics
2 Introduction of spss program
3 Variable Sorting, Combining Files, Data Table Conversion, File Splitting
4 Data Conversion Menus
5 Descriptive Statistics
6 Difference of Parametric and Non-Parametric Tests
7 Correlation
8 Average Comparison
9 One Way Variance Analysis, Post Hoc Tests, Variance Homogeneity
10 Single and Versatile Linear Models
11 Reliability Analysis
12 Regression Analysis
13 Factor Analysis
14 Nonparametric tests


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13
C1
C2
C3
C4
C5

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https://obs.gedik.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=97554&curProgID=5593&lang=en