Akademik Dersler - Tanıtım

Course Title	Code	Compulsory/Elective	Laboratory + Practice	ECTS
Data Structures and Algorithms	BVA105	I. SEMESTER	2+2	5.0

Language of Instruction	Türkçe
Course Type	Required Courses
Course Instructor(s)	ÖĞR. GÖR. GÜVENÇ USANMAZ
Mode of Delivery	Face to Face
Prerequisites	There are no prerequisites.
Courses Recomended	Python Programming MOOC 2025 - https://programming-25.mooc.fiPython Tutorial - https://docs.python.org/3/tutorial/index.htmlPython - Erdinç Uzun - https://erdincuzun.com/python/Algoritmalar - Robert Sedgewick,Kevin Wayne - Nobel YayıncılıkAlgorithms - Robert Sedgewick,Kevin WayneAlgorithms - https://algs4.cs.princeton.edu/home/Python Algorithms - https://github.com/TheAlgorithms/Pythonhttps://visualgo.net/enhttps://exercism.org
Recommended Reading List	Python Tutorial - https://docs.python.org/3/tutorial/index.html
Assessment methods and criteria	1 Midterm Exam, 1 Final Exam
Work Placement	It is not available.
Catalog Content	Basic algorithms, algorithm analysis, advanced data structures, advanced algorithmsIntroduction to Programming with Python and Development Environments; Variables, Operators, and Basic I/O; Flowcharts and Algorithmic Thinking; Control Structures, Loops, and Debugging; Functions, Recursion, and Fundamentals of Object-Oriented Programming; Linear Data Structures: Lists, Stacks, Queues, and Linked Lists; Trees, Binary Search Trees, and Heaps; Search and Sorting Algorithms; Algorithm Analysis; Hash Tables; Graph Theory and Graph Algorithms (BFS, DFS, MST, Shortest Path)