Yazılım Mühendisliği

SE 226 | Ders Tanıtım Bilgileri

Dersin Adı

Advanced Programming

Kodu	Yarıyıl	Teori (saat/hafta)	Uygulama/Lab (saat/hafta)	Yerel Kredi	AKTS
SE 226	SPRING	2	2	3	4

Ön-Koşul(lar)	SE 115 To succeed (To get a grade of at least DD)
Dersin Dili	English
Dersin Türü	Zorunlu
Dersin Düzeyi	Lisans
Dersin Veriliş Şekli	Face-To-Face
Dersin Öğretim Yöntem ve Teknikleri	-
Ulusal Meslek Sınıflandırma Kodu	-
Dersin Koordinatörü	Prof. Dr. Senem Kumova Metin
Öğretim Eleman(lar)ı	Prof. Dr. Senem Kumova Metin
Yardımcı(ları)	Araş. Gör. Hamza Çekirdek

Dersin Amacı

The main objective of the course is to develop students' programming, design and analysis skills in various languages and platforms. Python, C++ and C languages will be used in the course. Students will be exposed to commonly used data structures, libraries, methodologies and embedded system development tools theoretically and then experience them in labs. Students will prepare a project that will fulfill the requirements with the methods shown in the course.

Öğrenme Çıktıları

Bu dersi başarıyla tamamlayabilen öğrenciler;

Ad	Açıklama	PC Alt	* Katkı Düzeyi
Ad	Açıklama	PC Alt	1	2	3	4	5
LO1	develop programs in multiple languages	2			X
LO2	construct data structures in multiple languages	1.6			X
LO3	access data resources	1.6		X
LO4	build a program that meets requirements using complex methods, structures and data resources.	4			X
LO5	have knowledge about the design of embedded systems	2		X
LO6	program embedded systems	3.2			X

Ders Tanımı

Topics covered in the course include basic data types, data structures, functions, modules, classes and objects, access to and management of data sources, user interface development, embedded systems and programming.

Dersin İlişkili Olduğu Sürdürülebilir Kalkınma Amaçları

Dersin Kategorisi	Temel Ders	X
	Uzmanlık/Alan Dersleri
	Destek Dersleri
	İletişim ve Yönetim Becerileri Dersleri
	Aktarılabilir Beceri Dersleri

HAFTALIK KONULAR VE İLGİLİ ÖN HAZIRLIK ÇALIŞMALARI

Hafta	Konular	Ön Hazırlık	Öğrenme Çıktısı
1	Types of Programming Languages		LO1
2	Fundamental data types, constants, variables, operators		LO1
3	Flow control: selection statements, looping statements		LO1
4	Data Structures in C++: Memory operations, pointers, arrays, Linked lists, Stacks		LO2
5	Data structures in Python: Lists, Sets, Dictionaries		LO2
6	Functions		LO4
7	Midterm		-
8	Python Modules and building GUI		LO4
9	Classes and Objects in Python		LO4
10	Access to data sources and file management		LO3
11	Embedded Systems		LO5
12	Embedded Systems Programming I		LO6
13	Embedded Systems Programming II		LO6
14	Submission of project materials and project presentations		-
15	Semester Review		-
16	Semester Review		-

Ders Kitabı	"Python for Everybody: Exploring Data in Python 3" Charles Severance CreateSpace Independent Publishing Platform 978-1530051120 C++ How to Program 10/E Deitel & Deitel©2015 ISBN-10: 9780134448237
Önerilen Okumalar/Materyaller	"Python Programming Fundamentals" Kent D. Lee ISBN 978-1-4471-6642-9 Interactive Python Tutorial https://www.learnpython.org The Python Language Reference https://docs.python.org/3/reference/index.html"

DEĞERLENDİRME ÖLÇÜTLERİ

Yarıyıl Aktiviteleri	Sayı	Katkı Payı %	LO1	LO2	LO3	LO4	LO5	LO6
Ara Sınav	1	30	X	X		X
Final Sınavı	1	30			X		X	X
Laboratuvar / Uygulama	1	20	X	X	X	X	X	X
Proje	1	20			X	X
Toplam	4	100

AKTS / İŞ YÜKÜ TABLOSU

Yarıyıl Aktiviteleri	Sayı	Süre (Saat)	İş Yükü
Katılım	-	-	-
Teorik Ders Saati	16	2	32
Laboratuvar / Uygulama Ders Saati	16	2	32
Sınıf Dışı Ders Çalışması	14	1	14
Arazi Çalışması	-	-	-
Küçük Sınav / Stüdyo Kritiği	-	-	-
Portfolyo	-	-	-
Ödev	-	-	-
Sunum / Jüri Önünde Sunum	-	-	-
Proje	1	12	12
Seminer/Çalıştay	-	-	-
Sözlü Sınav	-	-	-
Ara Sınavlar	1	10	10
Final Sınavı	1	20	20
		Toplam	120

DERSİN ÖĞRENME ÇIKTILARININ PROGRAM YETERLİLİKLERİ İLE İLİŞKİSİ

#	PC Alt	Program Yeterlilikleri / Çıktıları	* Katkı Düzeyi
#	PC Alt	Program Yeterlilikleri / Çıktıları	1	2	3	4	5
1	Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computation, and related engineering discipline-specific topics; the ability to apply this knowledge to solve complex engineering problems.
	1	Mathematics
	2	Science
	3	Basic Engineering
	4	Computation
	5	Related engineering discipline-specific topics
	6	The ability to apply this knowledge to solve complex engineering problems		LO3	LO2
2	Problem Analysis: Ability to identify, formulate and analyze complex engineering problems using basic knowledge of science, mathematics and engineering, and considering the UN Sustainable Development Goals relevant to the problem being addressed.			LO5	LO1
3	Engineering Design: The ability to devise creative solutions to complex engineering problems; the ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions.
	1	Ability to design creative solutions to complex engineering problems
	2	Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions			LO6
4	Use of Techniques and Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while recognizing their limitations.				LO4
5	Research and Investigation: Ability to use research methods to investigate complex engineering problems, including literature research, designing and conducting experiments, collecting data, and analyzing and interpreting results.
	1	Literature research for the study of complex engineering problems
	2	Designing experiments
	3	Ability to use research methods, including conducting experiments, collecting data. analyzing and interpreting results
6	Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals; awareness of the legal implications of engineering solutions.
	1	Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals
	2	Awareness of the legal implications of engineering solutions
7	Ethical Behavior: Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility; awareness of being impartial, without discrimination, and being inclusive of diversity.
	1	Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility ethical responsibility
	2	Awareness of being impartial and inclusive of diversity, without discriminating on any subject
8	Individual and Teamwork: Ability to work effectively, individually and as a team member or leader on interdisciplinary and multidisciplinary teams (face-to-face, remote or hybrid).
	1	Ability to work individually and within the discipline
	2	Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote or hybrid)
9	Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession) on technical issues.
	1	Ability to communicate verbally
	2	Ability to communicate effectively in writing
10	Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.
	1	Knowledge of business practices such as project management and economic feasibility analysis
	2	Awareness of entrepreneurship and innovation
11	Lifelong Learning: Lifelong learning skills that include being able to learn independently and continuously, adapting to new and developing technologies, and thinking questioningly about technological changes.