Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 1 / Spring Semester | ||||
| Level of Course | 2nd Cycle Degree Programme | ||||
| Type of Course | Optional | ||||
| Department | TOURISM TECHNOLOGIES AND INNOVATION (MASTER'S WITH THESIS) | ||||
| Pre-requisities and Co-requisites | None | ||||
| Mode of Delivery | Face to Face | ||||
| Teaching Period | 14 Weeks | ||||
| Name of Lecturer | EBUBEKİR KAYA (ebubekir@nevsehir.edu.tr) | ||||
| Name of Lecturer(s) | |||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| Objectives of the Course | |||||
| The aim of this course is to gain knowledge on artificial intelligence techniques and artificial intelligence applications in the tourism sector. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | Can explain the basic concepts of artificial intelligence |
PO-5 Can apply artificial intelligence approaches to tourism problems. PO-7 Knows the concepts of innovation and technology in the field of tourism. PO-11 Gains entrepreneurial spirit and takes initiative to initiate innovation and technology related projects in the field of tourism. PO-15 Gain problem solving skills by using research methods used in different disciplines. |
Examination Presentation Performance Project |
| LO-2 | Can use artificial intelligence techniques to solve the problems of the tourism sector. |
PO-5 Can apply artificial intelligence approaches to tourism problems. PO-7 Knows the concepts of innovation and technology in the field of tourism. PO-11 Gains entrepreneurial spirit and takes initiative to initiate innovation and technology related projects in the field of tourism. PO-15 Gain problem solving skills by using research methods used in different disciplines. |
Examination Presentation Performance Project |
| LO-3 | Can gain the ability to solve and analyze problems. |
PO-12 It can search and organize information from different sources and interpret the results to create detailed reports. PO-15 Gain problem solving skills by using research methods used in different disciplines. |
Examination Presentation Performance Project |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| Introduction to artificial intelligence, heuristic problems, fuzzy logic, artificial neural networks, deep learning, neuro-fuzzy, meta-heuristic algorithms, artificial intelligence applications in tourism | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Introduction to Artificial Intelligence | Discussion Method, Lecture Method, Question and Answer, Project Presentation |
| 2 | Heuristic Problems | Discussion Method, Lecture Method, Question and Answer, Project Presentation |
| 3 | Fuzzy Logic | Discussion Method, Lecture Method, Question and Answer, Project Presentation |
| 4 | Artificial Neural Networks | Discussion Method, Lecture Method, Question and Answer, Project Presentation |
| 5 | Deep Learning | Discussion Method, Lecture Method, Question and Answer, Project Presentation |
| 6 | Deep Learning | Discussion Method, Lecture Method, Question and Answer, Project Presentation |
| 7 | Neuro-Fuzzy | Discussion Method, Lecture Method, Question and Answer, Project Presentation |
| 8 | mid-term exam | |
| 9 | Meta-Heuristics Algorithms | Discussion Method, Lecture Method, Question and Answer, Project Presentation |
| 10 | Meta-Heuristics Algorithms | Discussion Method, Lecture Method, Question and Answer, Project Presentation |
| 11 | Meta-Heuristics Algorithms | Discussion Method, Lecture Method, Question and Answer, Project Presentation |
| 12 | Artificial Intelligence Applications in Tourism | Discussion Method, Lecture Method, Question and Answer, Project Presentation |
| 13 | Artificial Intelligence Applications in Tourism | Discussion Method, Lecture Method, Question and Answer, Project Presentation |
| 14 | Artificial Intelligence Applications in Tourism | Discussion Method, Lecture Method, Question and Answer, Project Presentation |
| 15 | Artificial Intelligence Applications in Tourism | Discussion Method, Lecture Method, Question and Answer, Project Presentation |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | Yapay Zeka (Seçkin Yayınları, Prof. Dr. Vasif Nabiyev) | |
| Required Course instruments and materials | ||
| Computer, projector, computer software | ||
| Assessment Methods | |||
| Type of Assessment | Week | Hours | Weight(%) |
| mid-term exam | 8 | 2 | 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 | 16 | 2 | 60 |
| Student Work Load | |||
| Type of Work | Weekly Hours | Number of Weeks | Work Load |
| Weekly Course Hours (Theoretical+Practice) | 3 | 14 | 42 |
| Outside Class | |||
| a) Reading | 3 | 14 | 42 |
| b) Search in internet/Library | 2 | 14 | 28 |
| c) Performance Project | 2 | 14 | 28 |
| d) Prepare a workshop/Presentation/Report | 0 | ||
| e) Term paper/Project | 8 | 3 | 24 |
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 0 | ||
| Own study for mid-term exam | 1 | 6 | 6 |
| mid-term exam | 1 | 2 | 2 |
| Own study for final exam | 1 | 6 | 6 |
| final exam | 1 | 2 | 2 |
| 0 | |||
| 0 | |||
| Total work load; | 180 | ||