COURSE UNIT TITLE

: COMPUTER ASSISTED STATISTICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EGT 3008 COMPUTER ASSISTED STATISTICS COMPULSORY 3 0 0 3

Offered By

Guidance and Psychological Counseling

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR SAIT ÇÜM

Offered to

Guidance and Psychological Counseling

Course Objective

The aim of this course is to introduce students to fundamental statistical concepts and to equip them with the skills necessary to apply these concepts using computer-assisted tools. The course is designed to develop students' ability to organize, analyze, and interpret data accurately, and to present statistical findings within a scientific framework.

Learning Outcomes of the Course Unit

1   Explains the role and importance of statistics in professional life and scientific research.
2   Defines key statistical concepts.
3   Classifies different types of data and interprets them according to appropriate levels of measurement.
4   Summarizes and interprets data using descriptive statistical methods. learning of social perception, social cognition, subjects
5   Identifies appropriate statistical techniques to solve new research problems encountered.
6   Enters data using computer-assisted statistical analysis software.
7   Performs descriptive statistics, hypothesis testing, correlation, and regression analyses using SPSS and/or Excel software.
8   Interprets and presents the results of statistical analyses in a scientific report format.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Statistics: Role and significance
2 Introduction to Statistics: Definitions and key concepts
3 Types of data and levels of measurement
4 Descriptive statistics: Mean, median, and mode
5 Descriptive statistics: Variance, standard deviation, quartiles, and measures of dispersion
6 Probability and Statistics: Basic probability concepts, population and sampling methods
7 Probability and Statistics: Normal distribution and sampling distributions
8 midterm, general review
9 Introduction to hypothesis testing: Paired and independent samples t-tests
10 Correlation and regression
11 Data entry and data arrangement in SPSS
12 Conducting, reporting, and interpreting descriptive statistics in SPSS
13 Conducting, reporting, and interpreting hypothesis tests in SPSS
14 Conducting, reporting, and interpreting correlation and regression analyses in SPSS
15 Final exam

Recomended or Required Reading

Baykul, Y., & Güzeller, C.O. (2014). Sosyal bilimler için istatistik: SPSS uygulamalı. Pegem Akademi.
Göçer Şahin, S., & Buluş, M. (2022). Adım adım uygulamalı istatistik. Pegem Akademi Yayıncılık.
Kilmen, S. (2015). Eğitim araştırmacıları için SPSS uygulamalı istatistik. Ankara: Anı Yayınları.

Planned Learning Activities and Teaching Methods

Lecture, Discussion, Question and Answer, Demonstration, Performance Task and Practice

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE Midterm Exam
2 DTK Other Activity
3 FN Semester final exam
4 BNS BNS Student examVZ * 0.30 + Student examDTK * 0.10 + FN * 0.60
5 BUT Make- up note
6 BBN End of make-up grade Student examVZ * 0.30 +Student examDTK * 0.10 + BUT * 0.60


Further Notes About Assessment Methods

None

Assessment Criteria

Assignment, Written Exam or Applied Exam.

Language of Instruction

Turkish

Course Policies and Rules

Students are required to attend at least 70% of the classes in order to be eligible for evaluation.

Contact Details for the Lecturer(s)

sait.cum@deu.edu.tr

Office Hours

The schedule will be determined based on the instructor's timetable.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 2 26
Preparations before/after weekly lectures 13 1 13
Preparation for midterm exam 1 10 10
Preparation for final exam 1 16 16
Preparing assignments 2 5 10
Final 1 1 1
Midterm 1 1 1
TOTAL WORKLOAD (hours) 77

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15PO.16
LO.11214111222331111
LO.21214111222331111
LO.31214111222331111
LO.41214111222331111
LO.51214111222331111
LO.61111111111111111
LO.71111111111111111
LO.81111111111111111

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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