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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. English and Composition I
  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
VBA111 - English and Composition I I. SEMESTER 3 +0 3.0
Language of Instruction İngilizce
Course Type Required Courses
Course Instructor(s) ÖĞR. GÖR. GÜL ER
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 Academic Reading: Critical reading strategies
Week - 2 Identifying core arguments in texts
Week - 3 Summarizing complex academic texts
Week - 4 Writing Fundamentals: Advanced sentence structure
Week - 5 Cohesive paragraph development
Week - 6 Logical essay organization
Week - 7 Vocabulary Building: Academic word lists
Week - 8 Utilizing context clues
Week - 9 Mastering subject-specific terminology in data science
Week - 10 Composition Practice: Drafting
Week - 11 Peer reviewing methodologies
Week - 12 Editing for clarity and impact
Week - 13 Writing descriptive pieces
Week - 14 Writing narrative academic pieces

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

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