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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. Introduction to Algorithms
  5. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
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Last Updated: 21/07/2026

Code - Course Title Course Type Laboratory + Practice ECTS
VBA101 - Introduction to Algorithms I. SEMESTER 3 +0 5.0
Language of Instruction İngilizce
Course Type Required Courses
Course Instructor(s) ÖĞR. GÖR. KUTLU AKÇORAL
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 Definition of algorithms and fundamental concepts
Week - 2 Basic problem-solving strategies
Week - 3 Introduction to algorithm complexity
Week - 4 Algorithmic Thinking: Flowcharts
Week - 5 Algorithmic Thinking: Pseudocode
Week - 6 Heuristic problem-solving strategies
Week - 7 Computational logic basics
Week - 8 Data Structures: Arrays and Linked lists
Week - 9 Data Structures: Stacks and Queues
Week - 10 Hash tables and implementations
Week - 11 Karmaşıklık Analizi: Big-O, Big-Omega, Big-Theta
Week - 12 Time and space complexity evaluations
Week - 13 Worst-case scenarios analysis
Week - 14 Applied Sorting and Searching: Bubble, Merge, Binary

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

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