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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
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Last Updated: 17/10/2026

Code - Course Title Course Type Laboratory + Practice ECTS
İST549 - Statistics I. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) PROF. DR. ALİ ÖZDEMİR
Mode of Delivery The mode of delivery of this course is distance education.
Place of Delivery Online
Used Educational Platforms Online
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component.
Recommended Resources İstatistik I, Özdemir A. (Editör), Şıklar E. (Editör), AÖF Yayınları 2022, İstatistik II, Özdemir A. (Editör), Şıklar E. (Editör), AÖF Yayınları 2013.
Work Placement There is no internship for this course.
Aims of the Course This course aims to implement and interpret techniques such as "data classification, data summarization, interpreting characteristic values used in data summarization, statistical estimation, and hypothesis testing" using spreadsheets.

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 LO-1 Definition of Statistics, Basic Concepts, Importance of Statistics Education Lecture Question & Answer Discussion Problem Solving Demonstration and Practice Document/Text/Data Analysis
Week - 2 LO-2 Data Collection, Analysis Lecture Question & Answer Case Study Document/Text/Data Analysis
Week - 3 LO-3 Averages Lecture Problem Solving Document/Text/Data Analysis
Week - 4 LO-3 Variability and Dispersion Measures Lecture Problem Solving Practice/Practical Work/Workshop Document/Text/Data Analysis
Week - 5 LO-4 Sampling and Sampling Methods Lecture Case Study Problem Solving
Week - 6 LO-9 Data analysis applications in spreadsheets Lecture Problem Solving Demonstration and Practice Document/Text/Data Analysis
Week - 7 LO-5 LO-6 Normal Distribution and Standard Normal Distribution Lecture Practice/Practical Work/Workshop
Week - 8 LO-5 Estimation Lecture Problem Solving Document/Text/Data Analysis
Week - 9 LO-6 Decision Making (Hypothesis Tests Concerning One Population) Lecture Problem Solving Practice/Practical Work/Workshop Document/Text/Data Analysis
Week - 10 LO-6 Decision Making (Hypothesis Tests Concerning Two Populations) Lecture Problem Solving Practice/Practical Work/Workshop
Week - 11 LO-7 Chi-Squared Test Lecture Problem Solving Practice/Practical Work/Workshop
Week - 12 LO-8 Regression Analysis Lecture Problem Solving Practice/Practical Work/Workshop
Week - 13 LO-8 Correlation Analysis Lecture Problem Solving Practice/Practical Work/Workshop
Week - 14 LO-5 LO-6 LO-8 LO-9 Data analysis applications in spreadsheets Lecture Problem Solving Practice/Practical Work/Workshop

  • Quality Education

  • Logistics and Supply Chain Data Science

  • Open-Ended Test Homework

Assessment Method and Passing Requirements
Quamtity Percentage (%)
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