Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
3ISL221Statistics3+0+03627.03.2026

 
Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Business
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Face To Face
Objectives of the Course “The aim of this course is to teach students the basic statistical concepts and to enable them to acquire fundamental statistical skills such as collecting, organizing, summarizing, and interpreting data.
Course Content Basic Statistical Concepts, Types of Data, Measures of Central Tendency,
Measures of Distribution and Variability, Skewness, Kurtosis
Course Methods and Techniques Lecturer Notes, Question–Answer, Problem Solving
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Research Assist.Dr. Sevcan Çağlayan sevcan.caglayan@gedik.edu.tr
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Neil J.Salkind, İstatistikten Nefret Edenler İçin İstatistik, Çeviri Ed.törü: Alper Çuhadaroğlu, 2.Basım, 2012, Pegem, Ankara.
Nezir Köse, İstatistik ve Olasılığa Giriş I, 2.Basım, Gazi Kitabevi, 2012, Ankara.
Semra Oral Erbaş, Olasılık ve İstatistik: Problemler ve Çözümleri İle, 9.Basım, Gazi Kitabevi, 2022, Ankara.
Course Notes TEMEL İSTATİSTİK, Selahattin GÜRİŞ , Münevver TURANLI
Der Yayınları, Course Notes
Documents LMS

Course Category
Mathematics and Basic Sciences %20
Social Sciences %80

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 % 30
Quizzes 1 % 20
Final examination 1 % 50
Total
3
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-c.r.stud 14 3 42
Mid-terms 2 10 20
Final examination 1 50 50
Total Work Load   Number of ECTS Credits 6 154

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Being able to explain the basic concepts and principles of statistics
2 Based on probability theory, we can quantify the uncertainty element in economic phenomena.
3 You can have functional knowledge about basic statistical concepts and processes related to random variables and their distributions.
4 It has information about processes such as sampling and sampling distributions.
5 Learning the fundamental concepts of estimation and estimation techniques.

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 İstatistiğe Giriş: İstatistiğin tanımı, önemi
2 Verilerin Toplanması ve Derlenmesi, Veri Toplama Teknikleri
3 İstatistiksel Seriler
4 Temel İstatistik Kavramları
5 Temel İstatistik Kavramları
6 Olasılık, Değişkenler
7 Konu Tekrarları, Çözümlü Sorular
8 Ara Sınav
9 Olasılık Dağılımları
10 Olasılık Dağılımları Örnekler
11 Kısa Sınav
12 Örnekleme Teorisi
13 Tahmin Teorisi
14 Tahmin Yöntemleri
15 Konu Tekrarı, Çözümlü Örnekler
16 Final Sınavı

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10
C1 3 4 5
C2 4 4 5
C3 3 4 4 5
C4 5 5 5
C5 4 5 4 5

  bbb

  
  https://obs.gedik.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=265035&curProgID=5735&lang=en