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 Computer And Information Technologies
  • Information Systems And Technologies (English)
  • 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 BST104 - Data Structures and Algorithms
Course Type Required Courses
Language of Instruction İngilizce
Laboratory + Practice 3+0
ECTS 5.0
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ MEHMET FİDAN
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.
Required or Recommended Resources -
Recommended Reading List -
Assessment methods and criteria -
Work Placement N/A
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Problem solving and algorithm development: determinism, finiteness, efficiency, input/output and analysis of algorithms
Week - 2 Algorithmic program design and flowcharts
Week - 3 Program execution speed and memory requirements: Execution time, time complexity, area cost and complexity, algorithm analysis, complexity, memory requirement, asymptotic notations, sustainable algorithm design
Week - 4 Sorting algorithms: Bubble sort, cluster sort, interleaving sort, selective sort, fast sort, etc
Week - 5 Search algorithms: Linear search, binary search
Week - 6 Linked lists: One-way and two-way linked lists and their applications
Week - 7 Stack and Queue Structures: Stack and queue design, stack and queue design with arrays and linked lists
Week - 8 Hash function and its applications
Week - 9 Tree structures: Basic tree concepts, storing trees in memory
Week - 10 Binary trees, AVL tree structures
Week - 11 B/B+ tree structures
Week - 12 Graph data model: Graph concepts, memory storage of graphs, neighborhood matrices and lists
Week - 13 Graph traversal algorithms: Depth-first search algorithm, breath first search algorithm
Week - 14 Shortest path finding problem and its applications

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Question & Answer
  • Observation
  • Field Trip
  • Team/Group Work
  • Experiment
  • Drill - Practise
  • Case Study
  • Report Preparation and/or Presentation
  • Role Playing/Dramatization
  • Competences
  • True to core values
  • Questoning
  • Creative
  • Civic awareness
  • Environmental awareness

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
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