Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

GULSEHIR VOCATIONAL SCHOOL OF SOCIAL SCIENCES / GCM250 - ÇAĞRI MERKEZI HIZMETLERI

Code: GCM250 Course Title: ARTIFICIAL INTELLIGENCE AND ITS APPLICATIONS Theoretical+Practice: 3+0 ECTS: 3
Year/Semester of Study 2 / Spring Semester
Level of Course Short Cycle Degree Programme
Type of Course Optional
Department ÇAĞRI MERKEZI HIZMETLERI
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer SİNAN GÜMÜŞ (sinangumus@nevsehir.edu.tr)
Name of Lecturer(s) SİNAN GÜMÜŞ,
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
The aim of this course is to introduce students to the basic concepts, methods and application areas of artificial intelligence; to provide students with theoretical knowledge and practical skills in search techniques, knowledge representation, expert systems, natural language processing and image processing. In addition, it is aimed to develop a critical and responsible perspective in this field by comprehending the ethical, security and social dimensions of artificial intelligence technologies.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Can explain the basic concepts, methods and current application areas of artificial intelligence. PO-
LO-2 Farklı yapay zeka algoritmalarını analiz edebilecek ve uygun problem çözme yöntemini seçebilecektir. PO-
LO-3 Can develop simple artificial intelligence applications for real life problems. PO-
LO-4 Evaluate the ethical, social and economic impacts of artificial intelligence technologies. PO-
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
This course covers the historical development of artificial intelligence and its main methods and application areas. The course will cover classical AI approaches such as search techniques, knowledge representation, inference methods and expert systems, as well as current application areas such as natural language processing, image processing, autonomous systems and intelligent agents. Students will gain experience in developing simple applications by examining artificial intelligence algorithms; they will also develop a critical perspective on technology by discussing the ethical, security and societal implications of artificial intelligence.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Introduction to artificial intelligence, history, basic concepts Page:1-21 Face to Face Education, Computer Application, Question and Answer, Presentation
2 Artificial intelligence types, application areas Pages:21-40 Face to Face Education, Computer Application, Question and Answer, Presentation
3 Search problems and basic search strategies Page:76-100 Face to Face Education, Computer Application, Question and Answer, Presentation
4 Expert systems, decision support applications Page:66-90 Face to Face Education, Computer Application, Question and Answer, Presentation
5 Knowledge representation methods Page:91-115 Face to Face Education, Computer Application, Question and Answer, Presentation
6 Methods of inference and logical reasoning Page:116-140 Face to Face Education, Computer Application, Question and Answer, Presentation
7 Introduction to expert systems, basic structures Page:141-165 Face to Face Education, Computer Application, Question and Answer, Presentation
8 mid-term exam
9 Expert system shells and application examples Page:166-190 Face to Face Education, Computer Application, Question and Answer, Presentation
10 Introduction to natural language processing, basic methods Page:191-215 Face to Face Education, Computer Application, Question and Answer, Presentation
11 Natural language processing applications Page:216-230 Face to Face Education, Computer Application, Question and Answer, Presentation
12 Image processing, basic concepts and applications Page:231-255 Face to Face Education, Computer Application, Question and Answer, Presentation
13 Current trends in artificial intelligence applications Page:231-255 Face to Face Education, Computer Application, Question and Answer, Presentation
14 Ethics, security and social impacts of artificial intelligence Pages: 271-290 Face to Face Education, Computer Application, Question and Answer, Presentation
15 Student project presentations Face to Face Education, Computer Application, Question and Answer, Presentation
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Mehmet Fatih Amasyalı (2011). Yapay Zekâ: İnsan – Bilgisayar Etkileşimi ve Uygulamaları. Papatya Yayıncılık.
2 Ethem Alpaydın (2020). Yapay Öğrenme. Boğaziçi Üniversitesi Yayınları.
Required Course instruments and materials
Textbooks, computers, smartphones, presentations, artificial intelligence software

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 1 1 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 1 1 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 14 5 70
Outside Class
       a) Reading 0
       b) Search in internet/Library 8 2 16
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 1 1 1
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 2 1 2
mid-term exam 1 1 1
Own study for final exam 2 1 2
final exam 1 1 1
0
0
Total work load; 93