BL233 Data Structures

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

Information

Code BL233
Name Data Structures
Semester 3. Semester
Duration (T+A) 2-1 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Mahir ATMIŞ


Course Goal

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 Explain the basic scientific concepts related to Computer Technologies.
PLO02 Beceriler - Bilişsel, Uygulamalı Can use algorithmic thinking & planning approaches in programming.
PLO03 Beceriler - Bilişsel, Uygulamalı uses word processor, spreadsheet, presentation programs.
PLO04 Bilgi - Kuramsal, Olgusal Has the ability to solve problems in the field of computer programming. 5
PLO05 Bilgi - Kuramsal, Olgusal Knows the basic electronic parts of computer hardware and their functioning.
PLO06 Beceriler - Bilişsel, Uygulamalı Basic level Database Systems, client/server software and implements
PLO07 Beceriler - Bilişsel, Uygulamalı In Computer Technologies, students use graphical programs used in interface design and 3D modeling in web pages at basic level.
PLO08 Beceriler - Bilişsel, Uygulamalı Explains, designs and installs network systems.
PLO09 Yetkinlikler - Alana Özgü Yetkinlik Uses Internet technologies, develops server-side working internet applications.
PLO10 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Can carry out a basic study related to the field independently or in disciplined teams 2
PLO11 Yetkinlikler - Öğrenme Yetkinliği Can do resource research and obtain information from database in order to follow the developments in the field with the necessity of lifelong learning.
PLO12 Bilgi - Kuramsal, Olgusal Knows a foreign language which is sufficient for the applications in the field.
PLO13 Bilgi - Kuramsal, Olgusal To be able to communicate effectively in written and oral Turkish.
PLO14 Yetkinlikler - İletişim ve Sosyal Yetkinlik He/she can clearly explain the designs and applications related to computer technologies to his colleagues, superiors, others who are related to the field or not.
PLO15 Bilgi - Kuramsal, Olgusal Has knowledge about Atatürk's Principles and History of Revolution.
PLO16 Yetkinlikler - İletişim ve Sosyal Yetkinlik It is aware of occupational health and safety, environmental and ethical values within the framework of global and social values.


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