GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION

ARTIFICIAL NEURAL NETWORKS/5011329

COURSE INFO

-- LANGUAGE OF INSTRUCTION

Turkish

-- NAME OF LECTURER(S)

Prof.Dr.Şeref SAĞIROĞLU

-- WEB SITE(S) OF LECTURER(S)

ceng.gazi.edu.tr/~ss

-- EMAIL(S) OF LECTURER(S)

ss@gazi.edu.tr

-- LEARNING OUTCOMES OF THE COURSE UNIT

Students learn about the configuration of artificial neural networks as theoretical and practical.

-- MODE OF DELIVERY

The mode of delivery of this course is Face to face

-- PREREQUISITES AND CO-REQUISITES

None

-- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS

There is no recommended optional programme component for this course.

--COURSE CONTENT
1. Week	AN Overview
2. Week	Overview of techniques of AN
3. Week	Basic concepts and terms of ANN, ANN history
4. Week	ANN structures
5. Week	ANN learning algorithms
6. Week	Feedforward networks
7. Week	Different ANN Applications
8. Week	How ANN applied to a problem?
9. Week	Research project
10. Week	Demonstration project
11. Week	Research and demonstration project presentation
12. Week	Research and demonstration project presentation
13. Week	Research and demonstration project presentation
14. Week	Research and demonstration project presentation
15. Week
16. Week

-- RECOMMENDED OR REQUIRED READING

1. Artificial Neural Networks: A Compherensive Foundation, S. Haykin, 1994. 2. Mühendislikte Yapay Zeka Kullanımı I: Yapay Sinir Ağları, Ufuk Kitabev

-- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS

Lecture, Question & Answer, Demonstration, Drill - Practise

-- WORK PLACEMENT(S)

None

-- ASSESSMENT METHODS AND CRITERIA

	Quantity	Percentage
Mid-terms	0	30
Assignment	0	10
Exercises	0	0
Projects	0	60
Practice	0	0
Quiz	0	0
Contribution of In-term Studies to Overall Grade		40
Contribution of Final Examination to Overall Grade		60

-- WORKLOAD

Efficiency	Total Week Count	Weekly Duration (in hour)	Total Workload in Semester
Theoretical Study Hours of Course Per Week	13	3	39
Practising Hours of Course Per Week	2	3	6
Reading	14	3	42
Searching in Internet and Library	16	2	32
Designing and Applying Materials	5	5	25
Preparing Reports	7	3	21
Preparing Presentation	2	5	10
Presentation	2	5	10
Mid-Term and Studying for Mid-Term	1	5	5
Final and Studying for Final	1	10	10
Other			0
TOTAL WORKLOAD:			200
TOTAL WORKLOAD / 25:			8
ECTS:			7.5

-- COURSE'S CONTRIBUTION TO PROGRAM

Gazi University