Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Science
  • Department of Statistics
  • Course Structure Diagram with Credits
  • Data Structures and Algorithms
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title İST123 - Data Structures and Algorithms
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 4.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ LEVENT TERLEMEZ
Mode of Delivery The mode of delivery of this course is Face to face.
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Recommended Reading List -
Assessment methods and criteria Written Exam
Work Placement Not suitable for this course.
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Algorithm Concept, Basic Features and Notation Methods
Week - 2 Algorithm Concept, Classification
Week - 3 Arrays
Week - 4 Linked Lists
Week - 5 Linked Lists
Week - 6 Queues and Stacks
Week - 7 Trees, Binary Trees and Navigation Methods
Week - 8 Trees, Binary Search Tree
Week - 9 Trees, AVL Trees
Week - 10 Hash Tables
Week - 11 Algorithm Design
Week - 12 Search Algorithms
Week - 13 Sorting Algorithms
Week - 14 Graph Algorithms

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Observation
  • Demonstration
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Brain Storming
  • Report Preparation and/or Presentation
  • Proje Design/Management
  • Competences
  • Productive
  • True to core values
  • Rational
  • Questoning
  • Entrepreneur
  • Creative
  • Follow ethical and moral rules
  • Effective use of Turkish
  • Effective use of a foreign language
  • Work in teams
  • Use time effectively
  • Eleştirel düşünebilme
  • Abstract analysis and synthesis
  • Problem solving
  • Applying theoretical knowledge into practice
  • Concern for quality
  • Information Management
  • To work autonomously
  • Organization and planning
  • Elementary computing skills
  • Decision making
  • To work in interdisciplinary projects
  • Project Design and Management
  • Leadership
  • To work in international projects

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
2.Midterm Exam 1 30
Homework 1 20
Final Exam 1 50
Toplam (%) 100
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