Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Introduction to Statistics SHO209 Turkish Compulsory 3. Semester 3 + 0 3.0 3.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Oral presentation and Application
Course Coordinator Prof. Dr. Şengül CANGÜR
Instructor(s) Prof. Dr. Şengül CANGÜR (Güz)
Goals Can tell the importance of statistics in social services area and to train students to explain the basic concepts of statistics Who must bear the characteristics of the data, calculate and interpret descriptive statistics, charts and graphs, statistics tests and methods to train students capable of
Course Content Introduction to Statistics, Descriptive Statistics, Tables and Graphs, Normal distribution and speciality, Hypothesis tests and the importance of the definition of the concept of assumption , Simple Random sampling, Analysis of Contingency tables, Correlation analysis , Regression analysis
Learning Outcomes
# Öğrenme Kazanımı
1 To recognize and learn the basic terms and concepts related to statistics
2 Data collection, classification and presentation ability
3 To determine and apply the most appropriate statistical technique / techniques to apply setting
4 Be able to predict and interpret statistically
5 Be able to analyze the problems encountered in working life
6 To understand the role of analysis of statistical data in administrative decision-making.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week General Definition Of Statistics, History And General Concepts.
2. Week Statistical Data Editing And Classification To Be
3. Week Central Tendency And Distribution Measure
4. Week Central Tendency And Distribution Measure (Continued)
5. Week Probability Theory
6. Week Theoretical distributions
7. Week Sampling distribution
8. Week Statistical estimation
9. Week Statistical estimation (Continued)
10. Week Hypothesis testing
11. Week The chi-square test
12. Week Analysis of variance
13. Week Correlation analysis
14. Week Regression analysis
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
3 Apply critical thinking to inform and communicate professional judgment
6 Engage in research-informed practice and practice-informed research
11 Following and assessing theoretical and practice debate in the area of society and world related to field of social work
12 Using theoritical framework, approach and model guiding social work practice at every level of social work intervention
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5 DK6
PY3 1 1 1 1 1 1
PY6 5 5 5 5 5 5
PY11 2 2 2 2 2 2
PY12 2 2 2 2 2 2
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Lecture slayts (*.ppt)
Evaluation Method
Güz Dönemi
Responsible Personnel Grup Evaluation Method Percentage
Prof. Dr. Şengül CANGÜR Vize 40.00
Prof. Dr. Şengül CANGÜR Final 60.00
Toplam 100.00
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 3 42
Ders Dışı
Preparation, After Class Study 4 2 8
Research 5 3 15
Sınavlar
Midterm 1 1 1
Homework 3 3 9
Final 1 1 1
Total Workload 76
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 3.0