Akademik Dersler - Tanıtım


Code - Course Title	BBB2005 - 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 BAHADIR CİNOĞLU
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	Sedgewick, R., Wayne, K., & Wayne, K. D. (2011). Algorithms (Vol. 4). Boston: Addison-Wesley.
Recommended Reading List	Leiserson, C. E., Rivest, R. L., Cormen, T. H., & Stein, C. (1994). Introduction to algorithms (Vol. 3). Cambridge, MA, USA: MIT press.
Assessment methods and criteria	2 Midterm Exams and 1 Final Exam
Work Placement	N/A
Sustainability Development Goals	Quality Education , Decent Work and Economic Growth , Industry, Innovation and Infrastructure

Weeks	Topics
Week - 1	Introduction to Algorithm Fundamentals: Problem Solving and Algorithm Development
Week - 2	Algorithmic Program Design, Time/Complexity Analysis and Memory Requirements
Week - 3	Sorting Algorithms 1: Bubble Sort, Insertion Sort and Selection Sort
Week - 4	Sorting Algorithms 2: Quick Sort and Heap Sort
Week - 5	Search Algorithms: Linear and Binary Search
Week - 6	Basic Data Structures: Arrays and Singly/Doubly Linked Lists
Week - 7	Basic Data Structures: Arrays and Singly/Doubly Linked Lists
Week - 8	Stack and Queue Structures
Week - 9	Hash Function and Collision Resolution Strategies
Week - 10	Introduction to Tree Structures and Binary Search Trees
Week - 11	Advanced Tree Structures: AVL Trees and Balancing Logic
Week - 12	B-Tree Structures and Indexing in Database Systems
Week - 13	Graph Data Model: Adjacency Matrices and Basic Graph Traversal
Week - 14	Graph Algorithms: Shortest Path Problem

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