COMPUTER PROGRAMMING PROGRAMME Preview
Associate	TR-NQF-HE: Level 5	QF-EHEA: Short Cycle	EQF-LLL: Level 5

Ders Genel Tanıtım Bilgileri

Course Code:

BPR 101

Ders İsmi:

Introduction to Computer Programming

Ders Yarıyılı:

Fall

Ders Kredileri:

Theoretical	Uygulama	Labs	ECTS
2	0	0	3

Language of instruction:

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

Type of course:

Necessary

Course Level:

Associate

TR-NQF-HE:5. Master`s Degree

QF-EHEA:Short Cycle

EQF-LLL:5. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Öğr.Gör. SEVİM PİLAVCI

Course Lecturer(s):

Öğr.Gör. SEVİM PİLAVCI
Öğr.Gör. SİBEL KUZGUN AKIN

Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives:

Through this course, students gain the ability to define the fundamental concepts of computer science, outline the stages of the software development life cycle, and explain the logic of algorithmic techniques such as flowcharts. Within this scope, they learn to break down a given problem into logical steps and represent its solution with a flowchart. By coding the algorithms they design, students can create simple working computer programs. With an awareness of current technologies in their field, they also acquire the essential competencies needed for subsequent programming courses in the department.

Course Content:

This course begins with fundamental computer concepts and history, introducing students to algorithmic thinking—the cornerstone of problem-solving—by relating it to daily life and developing software modeling skills through flowcharts. It then explores how computers process data in depth, covering topics such as binary and hexadecimal number systems, bits and bytes as basic data storage units, data types, character sets, as well as logical and arithmetic operations. To strengthen the foundation of programming, the course also addresses computer hardware, operating systems, networks, internet protocols, security, and basic file management. In later weeks, it focuses on the software development life cycle, the variety of programming languages, integrated development environments, version control systems, and fundamental algorithms such as searching and sorting. Finally, the course highlights professional responsibilities by addressing issues such as information technology law and cybercrimes, aiming to provide students with a comprehensive perspective.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Defines fundamental concepts of computer science such as input, output, and process.
2) Explains how data is stored in a computer using concepts such as bit, byte, and character set.
3) Explains at a basic level how information is represented on computer hardware and how instructions are executed.
2 - Skills
Cognitive - Practical
1) Distinguishes between basic and complex data types and selects the appropriate type for a given problem.
2) Uses arithmetic and logical operators correctly according to precedence rules.
3) Uses an integrated development environment (IDE) for coding, compiling, and debugging processes.
3 - Competences
Communication and Social Competence
1) Writes the solution steps of a given problem as an algorithm in pseudocode format.
Learning Competence
1) Explains the fundamental principles of information technology law and the legal responsibilities within the scope of cybercrimes; conducts professional activities in accordance with this framework.
Field Specific Competence
1) Drafts a flowchart to represent the steps of the algorithm developed.
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week	Subject	Related Preparation
1)	Introduction: Basic Concepts and History of Computers
2)	Definition of Algorithms, Their Relation to Daily Life, and Problem-Solving Exercises
3)	Modeling Software with Flowcharts
4)	Computer Files, Folders, and Other Basic Skills
5)	Binary and Hexadecimal Number Systems
6)	Data, Data Types, and Data Storage: Bits, Bytes, and Character Sets
7)	Logical Operations; Precedence Rules of Arithmetic and Logical Operators
8)	Computer Hardware, Operating Systems, System Software, and Applications
9)	Computer Networks, Internet Protocols, and Security
10)	Integrated Development Environments and Version Control Systems
11)	Search and Sorting Algorithms
12)	Software Development Life Cycle
13)	Programming Languages
14)	IT Law and Cybercrimes

Sources

Course Notes / Textbooks:	Algoritma Geliştirme ve Programlamaya Giriş Prof. Dr. Fahri Vatansever
References:	Bilgi İletişim Teknolojileri Yasmin Zeki, Bülent Özben, Hasan Tunca, Erdal Akpınar, Kemal Kalaycı, S. Çetin Şahin

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları	1	2	3	4	5	6	7	8
Program Outcomes
1) Güncel yazılım geliştirme araçlarını ve programlama dillerini kullanır; istekleri çözümler, algoritma oluşturur, kod yazar ve programı test ederek devreye alır.	1	1	1	1	1	1	1	1
2) Birden fazla programlama dilinin kullanım amacını karşılaştırır, sözdizimini hatırlar ve bu dilleri kullanarak yazılım geliştirir.	1	1	1	1	1	1	1	1
3) Kullanıcı isteklerinden ve ihtiyaçlarından anlam çıkarır ve bu doğrultuda bir yazılım tasarlar.		1	1	1	1	1	1	1
4) Programda saklanacak veri yapılarını tasarlar; veri tabanı yönetim sistemlerini kullanarak verileri yapılandırır.	1	1	1	1	1	1	1	1
5) Kullanıcı arayüzü ve kullanıcı deneyimi ile ilgili temel kavramları tanımlar, kullanıcı dostu arayüzler tasarlar ve kullanıcı deneyimini iyileştiren teknikleri uygular.	1	1	1	1	1	1	1	1
6) Ağ donanımları, ağ protokolleri ve ağ güvenliği hakkındaki bilgilerini kullanarak güvenli ağ sistemleri kurar ve işletir.
7) Bilgisayar donanımının temel bileşenlerini listeler ve bu bilgilerini uygular.	1	1	1	1	1	1	1	1
8) İşletim sistemlerinin temel işlevlerini açıklar ve bunları uygular.	1	1	1	1	1	1	1	1
9) Yapay zekanın temel kavramlarını yorumlar, yapay zeka araçlarını etkin bir şekilde kullanır, veri analizi ve makine öğrenmesi tekniklerini uygular.	1	1	1	1	1	1	1	1
10) Ability to work in teams and collaborate on software development projects.	1	1	1	1	1	1	1	1
11) Mesleki etik ve sorumluluk bilincini açıklar; çalışmalarını bilgisayar programcılığı mesleğinin gerektirdiği etik kurallara göre yapılandırır.	1	1	1	1	1	1	1	1
12) Teknolojideki yenilikleri keşfeder ve bu doğrultuda mevcut bilgi ve becerilerini sürekli olarak revize eder.	1	1	1	1	1	1	1	1

Öğrenme Etkinliği ve Öğretme Yöntemleri

Alan Çalışması
Beyin fırtınası /Altı şapka

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Uygulama
Bireysel Proje

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
total		%
PERCENTAGE OF SEMESTER WORK		% 0
PERCENTAGE OF FINAL WORK		%
total		%

İş Yükü ve AKTS Kredisi Hesaplaması

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	2	28
Study Hours Out of Class	14	2	28
Presentations / Seminar	7	1	7
Project	15	1	15
Homework Assignments	14	2	28
Quizzes	14	1	14
Final	1	30	30
Total Workload			150