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Information
| Code | BTE739 |
| Name | Artificial Intelligence in Education |
| Term | 2024-2025 Academic Year |
| Semester | . Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator |
Course Goal / Objective
This course aims to provide students with information about the basic concepts of artificial intelligence in education and to gain experience in using its applications.
Course Content
Understanding of basic artificial intelligence concepts and paradigms; It includes Artificial Intelligence techniques such as Artificial Neural Networks, Fuzzy Logic, Neural Fuzzy Logic and Genetic Algorithm from beginner to advanced.
Course Precondition
None
Resources
Elmas Ç. (2018). Yapay Zeka Uygulamaları. Seçkin Kitapevi, 4. Baskı, Ankara.
Notes
Lecture notes/presentations prepared by the instructor of the course
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explain and apply the Structures of Artificial Neural Networks. |
| LO02 | Explain and apply Fuzzy Logic. |
| LO03 | Explain and apply Genetic Algorithm. |
| LO04 | Can use artificial intelligence methods in education |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Uses the basic concepts and principles of Instructional Technology at the level of expertise in the field. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Approaches theories or practices related to the field of instructional technologies with high-level thinking skills such as critical thinking and creativity. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | List the applications of scientific research and related statistical techniques in the field of instructional technologies. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Uses advanced information and communication technologies together with the computer software required by the field. | |
| PLO05 | Bilgi - Kuramsal, Olgusal | Uses scientific research and related statistical techniques in classical applications of instructional technologies. | |
| PLO06 | Bilgi - Kuramsal, Olgusal | Understands the multidimensional causes of complex, theoretical and current problems within the scope of instructional technologies and evaluates them in integrity. | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Develops a plan for the solution of complex, theoretical and current problems within the scope of the field with a scientific perspective, implements the plan and evaluates the results. | 5 |
| PLO08 | Yetkinlikler - Öğrenme Yetkinliği | Takes personal responsibilities in solving problems related to the field or within the scope of the field. | 4 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | It follows the scientific developments in the field of instructional technologies and carries it into professional practice. | |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | It follows current problems and practices, identifies problems in line with national values and country realities, proposes solutions and evaluates them. | 4 |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | He/she is a critical thinker, generates new ideas and has the ability to explore and solve problems. | |
| PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Establishes effective and healthy communication with students, teachers, school management, families and individuals in the study group. | |
| PLO13 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Knows a foreign language at a level to follow foreign sources related to his field. | |
| PLO14 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | It takes responsibility for the dissemination and distribution of developments in the field at local and national level. | |
| PLO15 | Yetkinlikler - Öğrenme Yetkinliği | It supports the protection and learning of these values by acting on the basis of scientific and ethical values in its work in the field. | |
| PLO16 | Yetkinlikler - Öğrenme Yetkinliği | Interprets, develops and evaluates strategy, policy and implementation plans on the future of the field on the basis of quality processes. | |
| PLO17 | Yetkinlikler - Öğrenme Yetkinliği | It carries the relevant developments in other fields to the field of instructional technologies. | |
| PLO18 | Yetkinlikler - Öğrenme Yetkinliği | It creates and maintains an efficient collaborative working environment by developing insight into stakeholder behavior. | |
| PLO19 | Yetkinlikler - Alana Özgü Yetkinlik | It develops teaching activities and practices by integrating teaching technologies into different disciplines and thus increases teaching effectiveness. | 3 |
| PLO20 | Yetkinlikler - Alana Özgü Yetkinlik | Based on the principles of instructional technologies, it designs and develops instructional content suitable for current digital platforms. | |
| PLO21 | Yetkinlikler - Alana Özgü Yetkinlik | Acquires digital competency skills, which are included in 21st century skills, and literacy related to newly emerging current instructional technologies in accordance with the requirements of the age. | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction of Artificial Neural Networks | Related Subjects in the Course Text Book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 2 | Creation of Artificial Neural Networks | Related Subjects in the Course Text Book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 3 | Structures of Artificial Neural Networks | Related Subjects in the Course Text Book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 4 | Counseled Learning | Related Subjects in the Course Text Book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 5 | Unsupervised Learning | Related Subjects in the Course Text Book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 6 | Artificial Neural Network Applications | Related Subjects in the Course Text Book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama |
| 7 | Fuzzy Logic | Related Subjects in the Course Text Book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 8 | Mid-Term Exam | Preparing for the exam and rewieving of the topics | Ölçme Yöntemleri: Ödev |
| 9 | Classical and Fuzzy Sets | Related Subjects in the Course Text Book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 10 | Fuzzy Logic Controller Systems | Related Subjects in the Course Text Book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 11 | Fuzzy Logic Controller Applications | Related Subjects in the Course Text Book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama |
| 12 | Neural Fuzzy Logic Controller Applications | Related Subjects in the Course Text Book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama |
| 13 | Genetic Algorithm | Related Subjects in the Course Text Book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 14 | Genetic Algorithm Concepts | Related Subjects in the Course Text Book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 15 | Genetic Algorithm Applications | Related Subjects in the Course Text Book | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama |
| 16 | Term Exams | Preparing for the exam and rewieving of the topics | Ölçme Yöntemleri: Ödev |
| 17 | Term Exams | Preparing for the exam and rewieving of the topics | Ölçme Yöntemleri: Ödev |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||