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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. Data Acquisition and APIs
  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
VBA209 - Data Acquisition and APIs III. SEMESTER 2 +0 4.0
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 Data Collection: Web scraping basics
Week - 2 Advanced scraping techniques (Scrapy)
Week - 3 Dynamic page control using Selenium
Week - 4 Scraping ethics and rate limiting protocols
Week - 5 Web Services: Using RESTful APIs
Week - 6 Exploring GraphQL APIs
Week - 7 Processing JSON and XML data structures
Week - 8 Open API endpoints integration
Week - 9 Data Integration: OAuth and API key management
Week - 10 Converting raw API data to tabular formats
Week - 11 API pagination handling techniques
Week - 12 Data Pipelines: Automation with scripts
Week - 13 Fault-tolerant data extraction workflows
Week - 14 Cloud storage integration for pipelines

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

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