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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS PDR 2021 STATISTICS COMPULSORY 2 0 0 4

Offered By

Guidance and Psychological Counseling

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR SEBAHAT SEVGI UYGUR

Offered to

Guidance and Psychological Counseling

Course Objective

Explain the statistical methods and use these methods.

Learning Outcomes of the Course Unit

1   To be able to define the importance of statistics in research, 2   To be able to define the necessity of the appropriate use of statistical applications in research, 3   To be able to list the basic terms related with statistics, 4   To be able to apply the analysis related with descriptive statistics that can be necessary to solve the research problem, 5   To be able to apply the simple correlation and regression analysis.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Basic concepts about statistics 2 Arrangement of data 3 Descriptive statistics 4 Calculation of probabilities 5 Probability distributions 6 Parametric hypothesis tests 7 Midterm exam 8 Non-parametric hypothesis tests 9 Correlation and types of correlation 10 Ordinary linear regression analysis 11 Multiple regression analysis 12 t-tests 13 Analysis of variance 14 Application of these statistics in software packages. 15 Final exam

Recomended or Required Reading

Akdeniz, F.(2004). Olasılık ve Istatistik , Adana: Nobel Kitabevi. Çakır, F. (2000). Sosyal Bilimlerde Istatistik , Istanbul: Alfa Basım Dağıtım Ltd.Şt. Gürsakal, N. (2001). Bilgisayar Uygulamalı Matematik , Istanbul: Alfa Basım Dağıtım Ltd.Şt. Köklü ve Büyüköztürk (2000). Sosyal Bilimler Için Istatistiğe Giriş , Ankara: Pegem Yayıncılık.

Planned Learning Activities and Teaching Methods

Discussion, brain storming, lecture, question-answer, problem solving

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 VZ Midterm 2 FN Semester final exam 3 BNS BNS Student examVZ * 0.40 + Student examFN * 0.60 4 BUT Make-up note 5 BBN End of make-up grade Student examVZ * 0.40 + Student examBUT * 0.60 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

Discussions, student reflections.

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Handan Boyacı handan.boyaci@deu.edu.tr

Office Hours

It can be contacted 24/7 via DEUOnline.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 2 26 Preparations before/after weekly lectures 13 2 26 Preparation for midterm exam 1 20 20 Preparation for final exam 1 30 30 Final 1 1 1 Midterm 1 1 1 TOTAL WORKLOAD (hours) 104

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 PO.14 PO.15 PO.16 LO.1 1 1 5 1 1 1 1 1 1 1 1 1 1 1 1 1 LO.2 1 1 5 1 1 1 1 1 1 1 1 1 1 1 1 1 LO.3 1 1 5 1 1 1 1 1 1 1 1 1 1 1 1 1 LO.4 1 1 5 1 1 1 1 1 1 1 1 1 1 1 1 1 LO.5 1 1 5 1 1 1 1 1 1 1 1 1 1 1 1 1