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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Vocational School of Information Technologies
  2. Department of Statistics
  3. Program in Big Data Analyst
  4. Course Structure Diagram with Credits
  5. Statistics and Probability
  6. Description
  • Description
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Last Updated: 02/03/2026

Code - Course Title Compulsory/Elective Laboratory + Practice ECTS
İST111 - Statistics and Probability I. SEMESTER 3 +0 3.0
Language of Instruction Türkçe
Course Type Required Courses
Course Instructor(s) ÖĞR. GÖR. DR. BÜLENT BATMAZ
Mode of Delivery Face to Face
Place of Delivery
Used Educational Platforms
Prerequisites There are no prerequisites.
Courses Recomended It is not available.
Recommended Resources It will be announced later.
Work Placement It is not available.
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Basic statistical concepts and frequency distributions
Week - 2 Measures of central tendency
Week - 3 Distribution measures and graphs
Week - 4 Set, permutation, combination concepts
Week - 5 Probability and conditional probability
Week - 6 Discrete random variables and their distributions
Week - 7 Continuous random variables and their distributions
Week - 8 Normal distribution
Week - 9 Sampling distribution and estimation
Week - 10 December forecast 1
Week - 11 December forecast 2
Week - 12 Hypothesis tests 1 and 2
Week - 13 Sample size
Week - 14 Relationship coefficients

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100

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