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Course Details
KTO KARATAY UNIVERSITY
İktisadi, İdari ve Sosyal Bilimler Fakültesi
Programme of Islamic Economics and Finance
Course Details
Course Code Course Name Year Period Semester T+A+L Credit ECTS
99700011 Statistics I 2 Autumn 3 3+0+0 4 4
Course Type Compulsory
Course Cycle Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6)
Course Language Turkish
Methods and Techniques -
Mode of Delivery Face to Face
Prerequisites -
Coordinator -
Instructor(s) Asst. Prof. Fatma ÇİFTCİ
Instructor Assistant(s) -
Course Instructor(s)
Name and Surname Room E-Mail Address Internal Meeting Hours
Asst. Prof. Fatma ÇİFTCİ C-105 [email protected] 7429
Course Content
The statistics course covers a comprehensive range of topics essential for effective data analysis and decision making in business. Key areas of study include descriptive statistics, probability theory, and various probability distributions. Students will learn about inferential statistics, including hypothesis testing, confidence intervals, and regression analysis. The course also covers the use of statistical software for data analysis and visualization. Emphasis will be placed on real-world applications such as market research, quality control, and financial analysis through case studies and practical exercises. By the end of the course, students will be proficient in applying statistical techniques to analyze business data and derive actionable insights.
Objectives of the Course
The aim of the statistics course is to equip students with the basic statistical skills and knowledge needed to analyze data and make informed business decisions. The course aims to develop students' ability to collect, interpret and present quantitative information, and to provide a solid foundation in statistical methods and their applications in business contexts. By integrating theoretical concepts with practical applications, students will be prepared to use statistical tools and methods to solve business problems, optimize operations and support strategic planning.
Contribution of the Course to Field Teaching
Basic Vocational Courses X
Specialization / Field Courses X
Support Courses
Transferable Skills Courses
Humanities, Communication and Management Skills Courses
Relationships between Course Learning Outcomes and Program Outcomes
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Program Learning Outcomes Level
P3 İslam İktisadı ve Finans alanıyla ilgili farklı bilgi kaynaklarına erişip sayısal analiz ve araştırma yapabilme 2
P4 Disiplin içi, çok disiplinli veya çok kültürlü gruplarda ve bireysel çalışabilme 5
P5 Ahlaki değerler ve mesleki sorumluluk bilinci ile hareket edebilme 4
P6 Alan uygulamalarının, evrensel ve toplumsal etkileri ile hukuki sonuçlarını bilme 3
P7 Öğrenim dilinde yazılı ve sözlü iletişim kurabilme, en az bir yabancı dil bilgisine sahip olabilme 4
Course Learning Outcomes
Upon the successful completion of this course, students will be able to:
No Learning Outcomes Outcome Relationship Measurement Method **
O1 Conducts numerical analyses using data from Islamic finance and economics. P.3.2 1
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7
Evaluation Method and Passing Criteria
In-Term Studies Quantity Percentage
Attendance - -
Course Specific Internship (If Any) - -
Homework - -
Presentation - -
Projects - -
Midterms 1 40 (%)
Final Exam 1 60 (%)
Total 100 (%)
ECTS / Working Load Table
Quantity Duration Total Work Load
Course Week Number and Time 14 3 42
Out-of-Class Study Time (Pre-study, Library, Reinforcement) 14 2 28
Midterms 1 20 20
Quiz 0 0 0
Homework 0 0 0
Practice 0 0 0
Laboratory 0 0 0
Project 0 0 0
Workshop 0 0 0
Presentation/Seminar Preparation 0 0 0
Fieldwork 0 0 0
Final Exam 1 30 30
Other 0 0 0
Total Work Load: 120
Total Work Load / 30 4
Course ECTS Credits: 4
Course - Learning Outcomes Matrix
Relationship Levels
Lowest Low Medium High Highest
1 2 3 4 5
# Learning Outcomes P3
O1 Conducts numerical analyses using data from Islamic finance and economics. 5