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Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
ALGORITHMS and DATA STRUCTURES-Spring Semester2+024
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorProf.Dr. Gökhan SİLAHTAROĞLU
Name of Lecturer(s)Prof.Dr. Gökhan SİLAHTAROĞLU
Assistant(s)
AimTo enable our students to recognize data structures, the basis that determines how the data is organized in computers, the data to be processed must be organized for an algorithm to be effective, understandable, and correct. In addition, it is essential to show how much time and memory are needed in the computer environment to operate a particular algorithm.
Course ContentThis course contains; General definitions and basic concepts of the course.,Data Models,General Review on C Programming Language,Enum, struct, union, typedef Structure,Stack,queue,Lists,Trees,Sorting Algorithms,Search,Graphs,Shortest Path Algorithm,Storage management,Automatic List Management,Dynamic Memory Management.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. will be able to recognize and use the basic concepts by making general definitions about Data Constructions.17, 2, 8, 9A, E
1.1. Explains types of data structures.2, 9
1.2. Distinguish different types of data structures.17, 8
2. will be able to use general information about C Programming Language.2, 8, 9E
2.1. Uses characteristics of C programming language.2, 9
2.2. Explains historical development process of C programming language.9
3. will be able to recognize the stack 13, 9A
3.1. Uses the properties of the stack.13, 9
3.2. Uses recursion.13, 9
4. will be able to recognize Queues and List Data Structures and use their properties.2, 9E
4.1. Defines queue and use its properties.2, 9
4.2. Defines List Data Structure and uses its properties.2, 9
5. will be able to recognize and use tree data structure.9A
5.1. Applies tree structure.9
5.2. Lists types of trees.9
6. will be able to recognize and use sorting and search algorithms.13, 2, 9
6.1. Lists sorting algorithms.13, 2, 9
6.2. Applies sorting algorithm.
6.2. Applies Search algorithm.
6.3. Lists search algorithms.13, 2, 9
7. Will be able to recognize and use Warshall and Shortest Path Algorithms8, 9A
7.1. Uses Warshal algoritms.8, 9
7.2. Uses shortest path algorithms.8, 9
8. Will be able to use the features Storage, List, Dynamic Memory Management13, 9A
8.1. Defines Storage, List and Memory.13, 9
8.2. Performs storage, list and memory operations.13, 9
Teaching Methods:13: Case Study Method, 17: Experimental Technique, 2: Project Based Learning Model, 8: Flipped Classroom Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework

Course Outline

OrderSubjectsPreliminary Work
1General definitions and basic concepts of the course.
2Data ModelsRelated chapter in the course book should be read.
3General Review on C Programming Language
4Enum, struct, union, typedef StructureRelated chapter in the course book should be read.
5StackRelated chapter in the course book should be read.
6queueRelated chapter in the course book should be read.
7ListsRelated chapter in the course book should be read.
8TreesStudy on the example to be applied.
8Sorting AlgorithmsStudy on the example to be applied
9SearchRelated chapter in the course book should be read.
10GraphsRelated chapter in the course book should be read.
11Shortest Path AlgorithmRelated chapter in the course book should be read and previous assigment should be done.
12Storage managementRelated chapter in the course book should be read.
13Automatic List ManagementRelated chapter in the course book should be read and previous assigment should be done.
14Dynamic Memory ManagementRelated chapter in the course book should be read and previous assigment should be done.
Resources
Rifat Çölkesen, Veri Yapıları ve Algoritmalar, Papatya Bilim Yay.
[1] http://mebis.medipol.edu.tr adresinde yayınlanacak olan ilgili bağlantılar 2] Rifat Çölkesen, Veri Yapıları ve Algoritmalar, Papatya Bilim Yay. [3] Introduction to the Design and Analysis of Algorithms 3rd Edition, Anany Levitin (Author) Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles 5th ed. Edition Narasimha Karumanchi (Author)

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Defines the theoretical issues in the field of information and management.
2
Describes the necessary mathematical and statistical methods in the field of information and management.
X
3
Uses at least one computer program in the field of information and management.
X
4
Sustains proficiency in a foreign language requiredor information and management studies.
5
Prepares informatics/software projects and work in a team.
6
Constantly updates himself / herself by following developments in science and technology with an understanding of the importance of lifelong learning through critically evaluating the knowledge and skills that s/he has got.7. Uses theoretical and practical expertise in the field of information and management
7
Follows up-to-date technology using a foreign language at least A1 level, holds verbal / written communication skills.
X
8
Follows up-to-date technology using a foreign language at least A1 level, holds verbal / written communication.
9
Adopts organizational / institutional and social ethical values.
10
Within the framework of community involvement adopts social responsibility principles and takes initiative when necessary.
11
Uses and analyses basic facts and data in various disciplines (economics, finance, sociology, law, business) in order to conduct interdisciplinary studies.
12
Writes software in different platforms such as desktop, mobile, web on its own and / or in a team.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 40
Rate of Final Exam to Success 60
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours14228
Guided Problem Solving14228
Resolution of Homework Problems and Submission as a Report6530
Term Project000
Presentation of Project / Seminar000
Quiz122
Midterm Exam11515
General Exam11515
Performance Task, Maintenance Plan000
Total Workload(Hour)118
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(118/30)4
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
ALGORITHMS and DATA STRUCTURES-Spring Semester2+024
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeRequired
Course CoordinatorProf.Dr. Gökhan SİLAHTAROĞLU
Name of Lecturer(s)Prof.Dr. Gökhan SİLAHTAROĞLU
Assistant(s)
AimTo enable our students to recognize data structures, the basis that determines how the data is organized in computers, the data to be processed must be organized for an algorithm to be effective, understandable, and correct. In addition, it is essential to show how much time and memory are needed in the computer environment to operate a particular algorithm.
Course ContentThis course contains; General definitions and basic concepts of the course.,Data Models,General Review on C Programming Language,Enum, struct, union, typedef Structure,Stack,queue,Lists,Trees,Sorting Algorithms,Search,Graphs,Shortest Path Algorithm,Storage management,Automatic List Management,Dynamic Memory Management.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. will be able to recognize and use the basic concepts by making general definitions about Data Constructions.17, 2, 8, 9A, E
1.1. Explains types of data structures.2, 9
1.2. Distinguish different types of data structures.17, 8
2. will be able to use general information about C Programming Language.2, 8, 9E
2.1. Uses characteristics of C programming language.2, 9
2.2. Explains historical development process of C programming language.9
3. will be able to recognize the stack 13, 9A
3.1. Uses the properties of the stack.13, 9
3.2. Uses recursion.13, 9
4. will be able to recognize Queues and List Data Structures and use their properties.2, 9E
4.1. Defines queue and use its properties.2, 9
4.2. Defines List Data Structure and uses its properties.2, 9
5. will be able to recognize and use tree data structure.9A
5.1. Applies tree structure.9
5.2. Lists types of trees.9
6. will be able to recognize and use sorting and search algorithms.13, 2, 9
6.1. Lists sorting algorithms.13, 2, 9
6.2. Applies sorting algorithm.
6.2. Applies Search algorithm.
6.3. Lists search algorithms.13, 2, 9
7. Will be able to recognize and use Warshall and Shortest Path Algorithms8, 9A
7.1. Uses Warshal algoritms.8, 9
7.2. Uses shortest path algorithms.8, 9
8. Will be able to use the features Storage, List, Dynamic Memory Management13, 9A
8.1. Defines Storage, List and Memory.13, 9
8.2. Performs storage, list and memory operations.13, 9
Teaching Methods:13: Case Study Method, 17: Experimental Technique, 2: Project Based Learning Model, 8: Flipped Classroom Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework

Course Outline

OrderSubjectsPreliminary Work
1General definitions and basic concepts of the course.
2Data ModelsRelated chapter in the course book should be read.
3General Review on C Programming Language
4Enum, struct, union, typedef StructureRelated chapter in the course book should be read.
5StackRelated chapter in the course book should be read.
6queueRelated chapter in the course book should be read.
7ListsRelated chapter in the course book should be read.
8TreesStudy on the example to be applied.
8Sorting AlgorithmsStudy on the example to be applied
9SearchRelated chapter in the course book should be read.
10GraphsRelated chapter in the course book should be read.
11Shortest Path AlgorithmRelated chapter in the course book should be read and previous assigment should be done.
12Storage managementRelated chapter in the course book should be read.
13Automatic List ManagementRelated chapter in the course book should be read and previous assigment should be done.
14Dynamic Memory ManagementRelated chapter in the course book should be read and previous assigment should be done.
Resources
Rifat Çölkesen, Veri Yapıları ve Algoritmalar, Papatya Bilim Yay.
[1] http://mebis.medipol.edu.tr adresinde yayınlanacak olan ilgili bağlantılar 2] Rifat Çölkesen, Veri Yapıları ve Algoritmalar, Papatya Bilim Yay. [3] Introduction to the Design and Analysis of Algorithms 3rd Edition, Anany Levitin (Author) Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles 5th ed. Edition Narasimha Karumanchi (Author)

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Defines the theoretical issues in the field of information and management.
2
Describes the necessary mathematical and statistical methods in the field of information and management.
X
3
Uses at least one computer program in the field of information and management.
X
4
Sustains proficiency in a foreign language requiredor information and management studies.
5
Prepares informatics/software projects and work in a team.
6
Constantly updates himself / herself by following developments in science and technology with an understanding of the importance of lifelong learning through critically evaluating the knowledge and skills that s/he has got.7. Uses theoretical and practical expertise in the field of information and management
7
Follows up-to-date technology using a foreign language at least A1 level, holds verbal / written communication skills.
X
8
Follows up-to-date technology using a foreign language at least A1 level, holds verbal / written communication.
9
Adopts organizational / institutional and social ethical values.
10
Within the framework of community involvement adopts social responsibility principles and takes initiative when necessary.
11
Uses and analyses basic facts and data in various disciplines (economics, finance, sociology, law, business) in order to conduct interdisciplinary studies.
12
Writes software in different platforms such as desktop, mobile, web on its own and / or in a team.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 40
Rate of Final Exam to Success 60
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 09/10/2023 - 10:32Son Güncelleme Tarihi: 09/10/2023 - 10:33