PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
EKNM 323	INTRODUCTION TO NEURAL NETWORKS	3 + 0	5th Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Compulsory
Course Objective	The aim of this course is to teach the basic concepts of Artificial Neural Networks (ANN), problems and solutions in the field of ANN at basic level. Within the scope of the course, it is aimed to determine ANN architectures and to understand the ANN inputs and outputs in general.
Course Content	Introduction, concept and definition of Artificial Neural Networks (ANN), fundamentals of ANN, structure and basic elements of ANN, characteristics of ANN, ANN architectures, scope of application and examples of ANN.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Recognizing the basic problems in the related field.
2	Creating suitable models for problems.
3	Determining the appropriate solution methods for the model.
4	Understanding the constraints of existing implements.
5	Interpreting the results obtained.

COURSE'S CONTRIBUTION TO PROGRAM

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	2	28
Assignments	1	15	15
Mid-terms	1	15	15
Final examination	1	30	30
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2023-2024 Fall	1	ÖNCÜ YANMAZ ARPACI

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
EKNM 323	INTRODUCTION TO NEURAL NETWORKS	3 + 0	1	Turkish	2023-2024 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Asts. Prof. Dr. ÖNCÜ YANMAZ ARPACI	oyarpaci@pau.edu.tr		İİBF C0206	%60

Goals		The aim of this course is to teach the basic concepts of Artificial Neural Networks (ANN), problems and solutions in the field of ANN at basic level. Within the scope of the course, it is aimed to determine ANN architectures and to understand the ANN inputs and outputs in general.
Content		Introduction, concept and definition of Artificial Neural Networks (ANN), fundamentals of ANN, structure and basic elements of ANN, characteristics of ANN, ANN architectures, scope of application and examples of ANN.

Topics

Weeks	Topics
1	Orientation
2	Introduction
3	Concept and definition of Artificial Neural Networks (ANN)
4	Fundamentals of ANN
5	Structure and basic elements of ANN
6	Characteristics, inputs and outputs of ANN
7	Addition and activation functions
8	Midterm exam
9	ANN structure, operation, advantages, disadvantages, hardware
10	ANN architectures
11	Normalization
12	Presentation of student projects
13	Presentation of student projects
14	Presentation of student projects

Materials

File	File Name	File Language	Original File Name	Added Date
Download File	yapay_sinir_aglari_ozet.pdf	Türkçe	yapay_sinir_aglari_ozet.pdf	18.09.2023 16:01:12
Download File	yapay-sinir-aglari_ercan-oztemel.pdf	Türkçe	yapay-sinir-aglari_ercan-oztemel.pdf	18.09.2023 16:01:12
Download File	yapay_sinir_aglari_ozet.pdf	Türkçe	yapay_sinir_aglari_ozet.pdf	18.09.2023 16:01:12
Download File	yapay-sinir-aglari_ercan-oztemel.pdf	Türkçe	yapay-sinir-aglari_ercan-oztemel.pdf	18.09.2023 16:01:12
Download File	yapay_sinir_aglari_ozet.pdf	Türkçe	yapay_sinir_aglari_ozet.pdf	18.09.2023 16:01:12
Download File	yapay-sinir-aglari_ercan-oztemel.pdf	Türkçe	yapay-sinir-aglari_ercan-oztemel.pdf	18.09.2023 16:01:12
Download File	yapay_sinir_aglari_ozet.pdf	Türkçe	yapay_sinir_aglari_ozet.pdf	18.09.2023 16:01:12
Download File	yapay-sinir-aglari_ercan-oztemel.pdf	Türkçe	yapay-sinir-aglari_ercan-oztemel.pdf	18.09.2023 16:01:12

Resources

Resources	Resources Language
Prof. Dr. Ercan Öztemel, Yapay Sinir Ağları, Papatya Bilim Üniversite Yayıncılığı, 2020	Türkçe
Prof. Dr. Ercan Öztemel, Yapay Sinir Ağları, İstanbul: Papatya Yayıncılık, 2006 (Pdf)	Türkçe
Prof. Dr. Ercan Öztemel, Yapay Sinir Ağları, İstanbul: Papatya Yayıncılık, 2012 (Özet)	Türkçe
Prof. Dr. Çetin Elmas, Yapay Sinir Ağları (Kuram, Mimari, Eğitim, Uygulama), Seçkin Yayıncılık, 2003	Türkçe

Course Assessment

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student