Course Name Code Semester T+U Hours Credit ECTS
Data Structures and Algorithms EBT 512 0 3 + 0 3 6
 Precondition Courses Recommended Optional Courses Course Language Turkish Course Level yuksek_lisans Course Type Compulsory Course Coordinator Prof.Dr. NEJAT YUMUŞAK Course Lecturers Prof.Dr. NEJAT YUMUŞAK, Course Assistants Course Category Course Objective Storing the informations in computer?s memory and basic data structures design for reach these informations Course Content The concept of data and data types, Lists, Linked lists, Queue, Stack, Binary tree and application areas, Compression algorithms, Sorting algorithms and their comparison, Search algorithms and their comparison, hash tables.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Design of data structure Lecture, Question-Answer, Discussion, Drilland Practice, Problem Solving, Testing, Homework,
2 Selecting the appropriate data structure Lecture, Question-Answer, Testing, Homework, Project / Design,
3 Comparison of algorithms Lecture, Question-Answer, Problem Solving, Testing,
4 Data abstraction Lecture, Question-Answer, Testing, Homework,
5 Writing programs more efficiently Question-Answer, Discussion, Lecture, Testing, Project / Design,
Week Course Topics Preliminary Preparation
1 Basic data types and data concepts
2 Recursion
3 Lists data structure and applications
5 Stack data structure and applications
6 Queue data structure and applications
7 Priority queue and heap tree
8 Tree data structure and applications
9 Binary search trees and applications
10 Compression algorithms
11 Sorting algorithms (Insertion, Selection, Bubble)
12 Sorting algorithms (Merge, Quick, Heap)
13 Search algorithms
14 Hash tables
Resources
Course Notes
Course Resources 1. Dr.Rifat ÇÖLKESEN, "Veri yapıları ve algoritmalar", Papatya yayıncılık, 2002.
2. İbrahim Akman, "C ile Veri yapıları", SAS bilişim yayınları, 2002.
Week Documents Description size
1 1. Hafta yapılan uygulamalar 1. Hafta yapılan uygulamalar 0.01 MB
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
2 ability to complete and implement limited or incomplete data by using the scientific methods. X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process
7 gain high level ability to define the required information and data
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement
11 aware of new and developing application of profession and ability to analyze and study on those applications
12 ability to interpret engineering applications social and environmental dimensions and its compliance with the social environment
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 30
1. Ödev 35
2. Ödev 35
Total 100
1. Yıl İçinin Başarıya 40
1. Final 60
Total 100