DEPARTMENT OF SOFTWARE ENGINEERING (ENGLISH)
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code:

1413002013

Ders İsmi:

Artificial Neural Networks

Ders Yarıyılı:

Spring

Ders Kredileri:

Theoretical	Practical	Credit	ECTS
3	0	3	5

Language of instruction:

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

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) Competent knowledge of mathematics, science and technology, and computer engineering; ability to apply this knowledge to engineering solutions.
2) Skills to design and conduct experiments, collect data, analyze and interpret results.
3) Ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; ability to apply modern design methods for this purpose.
4) Ability to develop, select and use modern techniques and tools required for analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively.
5) Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics.
6) Ability to work effectively in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7) Ability to communicate effectively in Turkish, both orally and in writing; Knowledge of at least one foreign language; the ability to write and understand written reports effectively, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; the ability to access information, to follow developments in science and technology, and to constantly renew oneself.
9) Acting in accordance with ethical principles, professional and ethical responsibility awareness; information about standards used in engineering applications.
10) Information about business life practices such as project management, risk management and change management; awareness of entrepreneurship, innovation; information about sustainable development.
11) Knowledge about the universal and social effects of engineering applications on health, environment and safety and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions.

Ders - Öğrenme Kazanımı İlişkisi

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

	Program Outcomes	Level of Contribution
1)	Competent knowledge of mathematics, science and technology, and computer engineering; ability to apply this knowledge to engineering solutions.
2)	Skills to design and conduct experiments, collect data, analyze and interpret results.
3)	Ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; ability to apply modern design methods for this purpose.
4)	Ability to develop, select and use modern techniques and tools required for analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively.
5)	Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics.
6)	Ability to work effectively in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7)	Ability to communicate effectively in Turkish, both orally and in writing; Knowledge of at least one foreign language; the ability to write and understand written reports effectively, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8)	Awareness of the necessity of lifelong learning; the ability to access information, to follow developments in science and technology, and to constantly renew oneself.
9)	Acting in accordance with ethical principles, professional and ethical responsibility awareness; information about standards used in engineering applications.
10)	Information about business life practices such as project management, risk management and change management; awareness of entrepreneurship, innovation; information about sustainable development.
11)	Knowledge about the universal and social effects of engineering applications on health, environment and safety and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions.

Öğrenme Etkinliği ve Öğretme Yöntemleri

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