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
  • Graduate School of Sciences
  • Department of Computer Engineering
  • Master of Science (MS) Degree
  • Course Structure Diagram with Credits
  • Advanced Algorithm Analysis
  • Description
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Course Introduction Information

Code - Course Title BİL519 - Advanced Algorithm Analysis
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ CAHİT PERKGÖZ
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 Data Structures and Algorithms
Recommended Reading List
Assessment methods and criteria   2 Midterms, 1 Final
Work Placement None
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to Algorithms, Asymptotic Notations
Week - 2 Recursive Algorithms, Closest-Pair Problem
Week - 3 Sorting
Week - 4 Medians, Introduction to Dynamic Programming: 0-1 Knapsack Problem
Week - 5 More Dynamic Programming: Longest Commong Subsequence, Chain Matrix Multiplication
Week - 6 MIDTERM I
Week - 7 Introduction to Greedy Algorithms: Activity Selection, Huffman Codes
Week - 8 Introduction to Graphs: Representation, BFS, DFS
Week - 9 Basic Graph Algorithms: Topological Sort, Strongly Connected Components
Week - 10 MIDTERM II
Week - 11 Introduction to NP-Completeness
Week - 12 NP-Completess and Approximation Algorithms

Learning Activities and Teaching Methods

Assessment Methods

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