Nevşehir Hacı Bektaş Veli University Course Catalogue
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| 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-2 Decision, implementation, and their behavior has the ability to use information acquired in the field of Call Center Services. PO-4 Students perform assigned duties and responsibilities. PO-8 Programs for the learning needs are open for accession. PO-10 Likely to help his colleagues. PO-11 Call Center Services field required by the European Computer User License Key Level at least in conjunction with computer software uses information and communication technologies. PO-17 Open to change and innovation. PO-19 Analyzing the information in the field of Call Center Services, has the ability to interpret and evaluate. |
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| LO-2 | Farklı yapay zeka algoritmalarını analiz edebilecek ve uygun problem çözme yöntemini seçebilecektir. |
PO-1 Call Center Services have information about the basic level in the field. PO-3 Analyzing the information in the field of Call Center Services, has the ability to interpret and evaluate. PO-4 Students perform assigned duties and responsibilities. PO-5 Students take responsibility for unforeseen problems encountered in practice or as a team member . PO-8 Programs for the learning needs are open for accession. PO-10 Likely to help his colleagues. PO-11 Call Center Services field required by the European Computer User License Key Level at least in conjunction with computer software uses information and communication technologies. PO-19 Analyzing the information in the field of Call Center Services, has the ability to interpret and evaluate. |
Examination |
| LO-3 | Can develop simple artificial intelligence applications for real life problems. |
PO-2 Decision, implementation, and their behavior has the ability to use information acquired in the field of Call Center Services. PO-5 Students take responsibility for unforeseen problems encountered in practice or as a team member . PO-8 Programs for the learning needs are open for accession. PO-11 Call Center Services field required by the European Computer User License Key Level at least in conjunction with computer software uses information and communication technologies. PO-19 Analyzing the information in the field of Call Center Services, has the ability to interpret and evaluate. |
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| LO-4 | Evaluate the ethical, social and economic impacts of artificial intelligence technologies. |
PO-1 Call Center Services have information about the basic level in the field. PO-2 Decision, implementation, and their behavior has the ability to use information acquired in the field of Call Center Services. PO-4 Students perform assigned duties and responsibilities. PO-6 Critically evaluates the acquired knowledge and skills. PO-15 Organization / the Authority, labor and act in accordance with social ethics. PO-16 The universality of social benefits, social justice, quality and cultural values ??and environmental protection, occupational health and safety issues has enough conscious. PO-17 Open to change and innovation. PO-19 Analyzing the information in the field of Call Center Services, has the ability to interpret and evaluate. |
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| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| 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 | ||