BL233 Data Structures

3 ECTS - 2-1 Duration (T+A)- 3. Semester- 2 National Credit

Information

Code BL233
Name Data Structures
Term 2024-2025 Academic Year
Semester 3. Semester
Duration (T+A) 2-1 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Ön Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Öğr. Gör. Mahir ATMIŞ
Course Instructor Öğr. Gör. Mahir ATMIŞ (A Group) (Ins. in Charge)


Course Goal / Objective

The main purpose of this course is to provide the student with the knowledge of how to use basic data structures and algorithms in programming applications.

Course Content

This course contains; Introduction to data structures,Data structures and basic data models,List and linked lists,Pointers,Displaying arrays on memory and ınfix-prefix-postfix,Iteration and recursive functions,Stack data model,Queue data model,Tree data model,Graph data model,Sorting algorithms,Sorting algorithms,Searching algorithms,Searching algorithms.

Course Precondition

None

Resources

Lecture Notes Mahir Atmış

Notes

Veri Yapıları ve Algoritmalar, Rifat Çölkesen


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learns the basics of algorithm design and understands its importance.
LO02 Understands basic and complex data structures and uses them to solve problems.
LO03 Use data models in a software to be developed with data models (such as connected list, stack, tail, tree).
LO04 The student himself defines new data structures.
LO05 Use tree structures for searching, ranking and special purposes.
LO06 He knows how to measure the performance of algorithms.
LO07 Learns to select appropriate data structure for a given problem.
LO08 Knowing Basic Sorting Algorithms and uses these algorithms in the software design stage.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Gains basic, current and applied knowledge about Computer Technologies. 3
PLO02 Bilgi - Kuramsal, Olgusal Gains knowledge about occupational health and safety, environmental awareness, and quality processes.
PLO03 Bilgi - Kuramsal, Olgusal Has knowledge of basic electronic components comprising computer hardware and their operations.
PLO04 Bilgi - Kuramsal, Olgusal Has knowledge about Atatürk's Principles and History of Revolution.
PLO05 Beceriler - Bilişsel, Uygulamalı Keeps track of current developments and applications in computer programming, and utilizes them effectively.
PLO06 Beceriler - Bilişsel, Uygulamalı Has the ability to solve problems in the field of computer programming. 3
PLO07 Beceriler - Bilişsel, Uygulamalı Creates algorithms and data structures, and performs mathematical calculations. 4
PLO08 Beceriler - Bilişsel, Uygulamalı Explains and implements web programming technologies.
PLO09 Beceriler - Bilişsel, Uygulamalı Performs database design and management.
PLO10 Beceriler - Bilişsel, Uygulamalı Tests software and resolves errors.
PLO11 Beceriler - Bilişsel, Uygulamalı Can utilize software and package programs in the field of computer programming.
PLO12 Beceriler - Bilişsel, Uygulamalı Explains, designs and installs network systems.
PLO13 Beceriler - Bilişsel, Uygulamalı Uses word processor, spreadsheet, presentation programs.
PLO14 Yetkinlikler - İletişim ve Sosyal Yetkinlik Can effectively present thoughts on computer technologies through written and verbal communication, expressing them clearly and comprehensibly.
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Takes responsibility as a team member to solve unforeseen complex problems encountered in practical applications of computer programming.
PLO16 Yetkinlikler - Öğrenme Yetkinliği Has awareness in career management and lifelong learning.
PLO17 Yetkinlikler - Alana Özgü Yetkinlik Has societal, scientific, cultural, and ethical values ​​in the collection, application, and announcement of results related to computer technologies.
PLO18 Yetkinlikler - İletişim ve Sosyal Yetkinlik Follows developments in the field using a foreign language and communicates with colleagues.
PLO19 Yetkinlikler - İletişim ve Sosyal Yetkinlik Can effectively communicate in Turkish both in written and oral forms.


Week Plan

Week Topic Preparation Methods
1 Introduction to data structures Preparation is not required. Öğretim Yöntemleri:
Anlatım
2 Data structures and basic data models Preparation is not required. Öğretim Yöntemleri:
Alıştırma ve Uygulama
3 List and linked lists Preparation is not required. Öğretim Yöntemleri:
Alıştırma ve Uygulama
4 Pointers Preparation is not required. Öğretim Yöntemleri:
Alıştırma ve Uygulama
5 Displaying arrays on memory and infix-prefix-postfix Preparation is not required. Öğretim Yöntemleri:
Alıştırma ve Uygulama
6 Iteration and recursive functions Preparation is not required. Öğretim Yöntemleri:
Alıştırma ve Uygulama
7 Stack data model Preparation is not required. Öğretim Yöntemleri:
Alıştırma ve Uygulama
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Queue data model Preparation is not required. Öğretim Yöntemleri:
Alıştırma ve Uygulama
10 Tree data model Preparation is not required. Öğretim Yöntemleri:
Alıştırma ve Uygulama
11 Graph data model Preparation is not required. Öğretim Yöntemleri:
Alıştırma ve Uygulama
12 Sorting algorithms Preparation is not required. Öğretim Yöntemleri:
Alıştırma ve Uygulama
13 Sorting algorithms (continuation) Preparation is not required. Öğretim Yöntemleri:
Alıştırma ve Uygulama
14 Searching algorithms Preparation is not required. Öğretim Yöntemleri:
Alıştırma ve Uygulama
15 Searching algorithms (continuation) Preparation is not required. Öğretim Yöntemleri:
Alıştırma ve Uygulama
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
Homeworks, Projects, Others 1 2 2
Mid-term Exams (Written, Oral, etc.) 1 5 5
Final Exam 1 10 10
Total Workload (Hour) 87
Total Workload / 25 (h) 3,48
ECTS 3 ECTS

Update Time: 14.05.2024 12:12