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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. Mathematics
  6. Description
  • Description
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  • ECTS Credit Load
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Last Updated: 02/03/2026

Code - Course Title Compulsory/Elective Laboratory + Practice ECTS
MAT841 - Mathematics I. SEMESTER 3 +0 5.0
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 yok
Courses Recomended Bu konular için isteğe bağlı program bileşenleri; MATLAB, Python (NumPy, SciPy, SymPy, Matplotlib, TensorFlow, PyTorch) ve R (ggplot2, Matrix) gibi araçlarla görselleştirme, sembolik ve sayısal çözüm, uygulamalı analiz ve gerçek dünya problem çözümü desteği sağlar
Recommended Resources Machine Learning for Deep Learning: Applied Linear Algebra with R Prof. Dr. Necmi Gürsakal, Sadullah Çelik _ DORA YAYINLARI
Work Placement NA
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Solving equations and inequalities
Week - 2 Functions and their graphs, Parabolas, linear and exponential functions
Week - 3 Limits and continuity
Week - 4 Derivatives
Week - 5 Applications of derivatives
Week - 6 Integrals, Applications of integrals
Week - 7 Midterm exam
Week - 8 Applications of integrals
Week - 9 Matrices
Week - 10 Representing Systems of Linear Equations using Matrices | Linear Algebra
Week - 11 Matrix Operations and Vectors
Week - 12 Matrix factorization
Week - 13 Matrices and Tensors; Visualisation and Applications of Matrices
Week - 14 Final Exam

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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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