DEPARTMENT OF SOFTWARE ENGINEERING (ENGLISH)
Qualification Awarded	Program Süresi	Toplam Kredi (AKTS)	Öğretim Şekli	Yeterliliğin Düzeyi ve Öğrenme Alanı
Bachelor's (First Cycle) Degree	4	240	FULL TIME	TYÇ, TR-NQF-HE, EQF-LLL, ISCED (2011):Level 6 QF-EHEA:First Cycle TR-NQF-HE, ISCED (1997-2013): 48,52

Ders Genel Tanıtım Bilgileri

Course Code:

1413002013

Ders İsmi:

Artificial Neural Networks

Ders Yarıyılı:

Fall

Ders Kredileri:

Theoretical	Practical	Labs	Credit	ECTS
3	0	0	3	5

Language of instruction:

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

Other Recommended Topics for the Course:

Type of course:

Department Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi Adem ÖZYAVAŞ

Course Lecturer(s):

Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives:	Within the scope of the course, students learn to recognize the elements of 3D image creation, to learn about advanced 3D digital design programs together with modeling, light-shadow making, texture, coating and animation techniques, to learn about the processes of work in this environment, to produce ideas, and to create their own original works. are intended to be placed.
Course Content:	In this course, students explore a variety of techniques, including polygonal modeling, digital sculpting, texture, surface materials, and simple regulation. At the same time, students reveal their original works while learning to learn about advanced 3D digital design programs, the processes of work in this environment, and the generation of ideas.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Produces moving images using the features of different modeling types.
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
1) Creates effective digital models using modeling techniques and tools.
Field Specific Competence
1) Makes original designs using 3D image creation tools.
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week	Subject	Related Preparation
1)	Introduction - 3P-C project	S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, 1999 J.M. Zurada, Introduction to Artificial Neural Systems, West Publishing Company, 1995. E.Öztemel, Yapay Sinir Ağları, Papatya Yayıncılık, İstanbul, 2003.
2)	3P-C Project	S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, 1999 J.M. Zurada, Introduction to Artificial Neural Systems, West Publishing Company, 1995. E.Öztemel, Yapay Sinir Ağları, Papatya Yayıncılık, İstanbul, 2003.
3)	3P-C Project	S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, 1999 J.M. Zurada, Introduction to Artificial Neural Systems, West Publishing Company, 1995. E.Öztemel, Yapay Sinir Ağları, Papatya Yayıncılık, İstanbul, 2003.
4)	3P-C Project	S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, 1999 J.M. Zurada, Introduction to Artificial Neural Systems, West Publishing Company, 1995. E.Öztemel, Yapay Sinir Ağları, Papatya Yayıncılık, İstanbul, 2003.
5)	3D Ball bouncing Introductory project to animation.	S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, 1999 J.M. Zurada, Introduction to Artificial Neural Systems, West Publishing Company, 1995. E.Öztemel, Yapay Sinir Ağları, Papatya Yayıncılık, İstanbul, 2003.
6)	3D Ball bouncing Introduction to animation project question and answer.	S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, 1999 J.M. Zurada, Introduction to Artificial Neural Systems, West Publishing Company, 1995. E.Öztemel, Yapay Sinir Ağları, Papatya Yayıncılık, İstanbul, 2003.
7)	"Thumbs up" Project advanced Animation rules introduction.	S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, 1999 J.M. Zurada, Introduction to Artificial Neural Systems, West Publishing Company, 1995. E.Öztemel, Yapay Sinir Ağları, Papatya Yayıncılık, İstanbul, 2003.
8)	Midterm	S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, 1999 J.M. Zurada, Introduction to Artificial Neural Systems, West Publishing Company, 1995. E.Öztemel, Yapay Sinir Ağları, Papatya Yayıncılık, İstanbul, 2003.
9)	Polygonal modeling project startup.	S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, 1999 J.M. Zurada, Introduction to Artificial Neural Systems, West Publishing Company, 1995. E.Öztemel, Yapay Sinir Ağları, Papatya Yayıncılık, İstanbul, 2003.
10)	Polygonal modeling project.	S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, 1999 J.M. Zurada, Introduction to Artificial Neural Systems, West Publishing Company, 1995. E.Öztemel, Yapay Sinir Ağları, Papatya Yayıncılık, İstanbul, 2003.
11)	Polygonal modeling project.	S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, 1999 J.M. Zurada, Introduction to Artificial Neural Systems, West Publishing Company, 1995. E.Öztemel, Yapay Sinir Ağları, Papatya Yayıncılık, İstanbul, 2003.
12)	Polygonal modeling project.	S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, 1999 J.M. Zurada, Introduction to Artificial Neural Systems, West Publishing Company, 1995. E.Öztemel, Yapay Sinir Ağları, Papatya Yayıncılık, İstanbul, 2003.
13)	Polygonal modeling project.	S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, 1999 J.M. Zurada, Introduction to Artificial Neural Systems, West Publishing Company, 1995. E.Öztemel, Yapay Sinir Ağları, Papatya Yayıncılık, İstanbul, 2003.
14)	Toy & Robot final project.	S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, 1999 J.M. Zurada, Introduction to Artificial Neural Systems, West Publishing Company, 1995. E.Öztemel, Yapay Sinir Ağları, Papatya Yayıncılık, İstanbul, 2003.
15)	Toy & Robot final project.	S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, 1999 J.M. Zurada, Introduction to Artificial Neural Systems, West Publishing Company, 1995. E.Öztemel, Yapay Sinir Ağları, Papatya Yayıncılık, İstanbul, 2003.
16)	Final	S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, 1999 J.M. Zurada, Introduction to Artificial Neural Systems, West Publishing Company, 1995. E.Öztemel, Yapay Sinir Ağları, Papatya Yayıncılık, İstanbul, 2003.

Sources

Course Notes / Textbooks:	S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, 1999 J.M. Zurada, Introduction to Artificial Neural Systems, West Publishing Company, 1995. E.Öztemel, Yapay Sinir Ağları, Papatya Yayıncılık, İstanbul, 2003.
References:	S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, 1999 J.M. Zurada, Introduction to Artificial Neural Systems, West Publishing Company, 1995. E.Öztemel, Yapay Sinir Ağları, Papatya Yayıncılık, İstanbul, 2003.

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları	1	2	3
Program Outcomes
1) Knowledge of mathematics, science, basic engineering, computer computing, and engineering discipline-specific topics; ability to use this knowledge in solving complex engineering problems
2) Sufficient knowledge of issues related to software engineering; theoretical and To be able to use applied knowledge in solving algorithmic and software problems Skill.
3) Ability to define, formulate and analyze complex engineering problems using basic science, mathematics and engineering knowledge and taking into account the UN Sustainable Development Goals relevant to the problem under consideration.
4) Ability to design creative solutions to complex engineering problems; The ability to design complex systems, processes, devices or products to meet current and future requirements, taking into account realistic constraints and conditions.
5) Ability to choose and use appropriate techniques, resources, modern engineering computational tools for the analysis, solution, prediction and modelling of complex engineering problems.
6) Ability to use research methods to examine complex engineering problems, including researching literature, designing experiments, conducting experiments, collecting data, analyzing and interpreting results.
7) Information about the effects of engineering practices on society, health and safety, economy, sustainability and the environment within the scope of the UN Sustainable Development Goals; Awareness of the legal consequences of engineering solutions
8) Acting in accordance with engineering professional principles and knowledge about ethical responsibility; Awareness of acting impartially, without discrimination on any issue, and being inclusive of diversity.
9) Ability to work effectively as a team member or leader in intradisciplinary and multidisciplinary teams (face-to-face, remote or hybrid).
10) Individual working ability.
11) Ability to communicate effectively verbally and in writing on technical issues, taking into account the various differences of the target audience (such as education, language, profession).
12) Knowledge of business practices such as project management and economic feasibility analysis
13) Awareness about entrepreneurship and innovation.
14) A lifelong learning skill that includes being able to learn independently and continuously, adapting to new and developing technologies, and thinking inquisitively about technological changes.

Ders - Öğrenme Kazanımı İlişkisi

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Knowledge of mathematics, science, basic engineering, computer computing, and engineering discipline-specific topics; ability to use this knowledge in solving complex engineering problems
2)	Sufficient knowledge of issues related to software engineering; theoretical and To be able to use applied knowledge in solving algorithmic and software problems Skill.
3)	Ability to define, formulate and analyze complex engineering problems using basic science, mathematics and engineering knowledge and taking into account the UN Sustainable Development Goals relevant to the problem under consideration.
4)	Ability to design creative solutions to complex engineering problems; The ability to design complex systems, processes, devices or products to meet current and future requirements, taking into account realistic constraints and conditions.
5)	Ability to choose and use appropriate techniques, resources, modern engineering computational tools for the analysis, solution, prediction and modelling of complex engineering problems.
6)	Ability to use research methods to examine complex engineering problems, including researching literature, designing experiments, conducting experiments, collecting data, analyzing and interpreting results.
7)	Information about the effects of engineering practices on society, health and safety, economy, sustainability and the environment within the scope of the UN Sustainable Development Goals; Awareness of the legal consequences of engineering solutions
8)	Acting in accordance with engineering professional principles and knowledge about ethical responsibility; Awareness of acting impartially, without discrimination on any issue, and being inclusive of diversity.
9)	Ability to work effectively as a team member or leader in intradisciplinary and multidisciplinary teams (face-to-face, remote or hybrid).
10)	Individual working ability.
11)	Ability to communicate effectively verbally and in writing on technical issues, taking into account the various differences of the target audience (such as education, language, profession).
12)	Knowledge of business practices such as project management and economic feasibility analysis
13)	Awareness about entrepreneurship and innovation.
14)	A lifelong learning skill that includes being able to learn independently and continuously, adapting to new and developing technologies, and thinking inquisitively about technological changes.

Öğrenme Etkinliği ve Öğretme Yöntemleri

Course
Grup çalışması ve ödevi
Homework
Problem Çözme

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Attendance	10	% 10
Homework Assignments	2	% 20
Midterms	1	% 30
Semester Final Exam	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
total		% 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	35	3	105
Midterms	1	2	2
Final	1	3	3
Total Workload			152