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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. Faculty of Computer and Information Sciences
  2. Department of Data Science and Analytics (English)
  3. Course Structure Diagram with Credits
  4. Programming Fundamentals for Data Science
  5. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 21/07/2026

Code - Course Title Course Type Laboratory + Practice ECTS
VBA108 - Programming Fundamentals for Data Science II. SEMESTER 3 +1 6.0
Language of Instruction İngilizce
Course Type Required Courses
Course Instructor(s) ARAŞ. GÖR. DR. ÖNDER DORAK
Mode of Delivery Face-to-face
Place of Delivery
Used Educational Platforms
Prerequisites
Courses Recomended
Recommended Resources
Work Placement
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Python Basics: Syntax structures and native data types
Week - 2 Control flow statements
Week - 3 Defining modular functions
Week - 4 Object-Oriented Programming: Class definitions and objects
Week - 5 Inheritance and Polymorphism
Week - 6 Encapsulation
Week - 7 Data Handling: File I/O operations
Week - 8 Robust error handling
Week - 9 Utilizing base library operations
Week - 10 Setting up Virtual environments
Week - 11 Numerical Computing: Introduction to NumPy arrays
Week - 12 Basic Pandas dataframes
Week - 13 Data filtering and grouping in Pandas
Week - 14 Writing scalable scripts for data ingestion

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%)

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