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 Aeronautics and Astronautics
  • Department of Air Traffic Control
  • Course Structure Diagram with Credits
  • Algorithm and Programming
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load

Course Introduction Information

Code - Course Title BİM301 - Algorithm and Programming
Course Type Area Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 2+2
ECTS 4.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ EMRE AYDOĞAN
Mode of Delivery Face to face  with execises in the lab.
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended BIL151 Fundamentals of Information Technology
Required or Recommended Resources Miller, B., & Ranum, D. (2013). Problem solving with algorithms and data structures (Release 3.0).Matthes, E. (2016). Python crash course: A hands-on, project-based introduction to programming. No Starch Press.Downey, A. B. (2015). Think Python: How to think like a computer scientist (2nd ed.). Green Tea Press.Cormen, T. H., Leiserson, C. E., Rivest, R. L., & Stein, C. (2009). Introduction to algorithms (3rd ed.). MIT Press.
Recommended Reading List
Assessment methods and criteria 1 Midterm, 1 Final exam
Work Placement N/A
Sustainability Development Goals

Content

Weeks Topics
Week - 1 What is Algorithm?
Week - 2 Programming languages and types
Week - 3 Examples from daily life
Week - 4 EN: EN: Computer Science, Logical Design, and an Introduction to Python
Week - 5 EN: Data Types and Variables
Week - 6 EN: Conditional Structures (if / elif / else)
Week - 7 EN: Iteration Structures: for and while Loops
Week - 8 EN: List Data Structures in Python
Week - 9 EN: Functions in Python
Week - 10 EN: Advanced Data Structures in Python: Tuples, Sets, and Dictionaries
Week - 11 EN: EN: Stack and Queue Data Structures
Week - 12 EN: EN: Tree Data Structures and Binary Search Trees
Week - 13 EN: EN: Search Algorithms
Week - 14 EN: EN: Sorting Algorithms

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Team/Group Work
  • Problem Solving
  • Role Playing/Dramatization
  • Competences
  • Productive
  • True to core values
  • Rational
  • Questoning
  • Entrepreneur
  • Creative
  • Follow ethical and moral rules
  • Civic awareness
  • Effective use of Turkish
  • Use time effectively
  • Abstract analysis and synthesis
  • Problem solving
  • Organization and planning
  • Decision making

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 25
Final Exam 1 50
Practice 1 25
Toplam (%) 100
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