TÜRKÇE
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Information
| Code | BTES201 |
| Name | Artificial Intelligence Applications in Education |
| Term | 2024-2025 Academic Year |
| Semester | 3. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | FE Field Education Courses E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. OZAN ŞENKAL |
| Course Instructor |
Prof. Dr. OZAN ŞENKAL
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The aim of this course is to provide the students with an introduction to artificial intelligence, including the basic techniques and mechanisms of artificial intelligence. The aim of this course is to provide the students with the historical and conceptual development of artificial intelligence, the aims of artificial intelligence, the methods used to achieve these goals, the social and economic role of artificial intelligence, and to analyze the problems, to determine where artificial intelligence techniques can be used and to use artificial intelligence techniques.
Course Content
Introduction to Artificial Intelligence, Natural and Artificial Intelligence, Turing Test, Search Methods, Planning, Intuitive Problem Solving, Knowledge Representation, Sense Logic, Artificial Intelligence Programming Languages, Programming with Common Lisp, Game Theory, Genetic Algorithms, Fuzzy Logic, Expert Systems, Artificial Intelligence Applications.
Course Precondition
None
Resources
Holmes, W., Bialik, M. ve Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Boston, MA: Center for Curriculum Redesign.
Notes
Lecture notes/presentations prepared by the instructor of the course
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Defines the concept of artificial intelligence. |
| LO02 | Understand the artificial intelligence algorithms. |
| LO03 | Define the basic functions of brain and neuron structures. |
| LO04 | Establishes network structures according to their types and operation. |
| LO05 | Apply fuzzy logic systems. |
| LO06 | Makes Artificial Intelligence control application software. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Knows and acts in accordance with the basic values, principles, laws, regulations and ethical rules required by the field of Computer and Instructional Technologies. | 2 |
| PLO02 | Beceriler - Bilişsel, Uygulamalı | Knows the basic principles of Mainstream theories, methods and techniques related to Learning and Teaching, Instructional Technologies, Information Technologies. | |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | Selects and uses instructional technologies required by educational problems or activities. | 3 |
| PLO04 | Yetkinlikler - Alana Özgü Yetkinlik | Organizes activities for teaching the field of information technologies and develops appropriate teaching materials. | 4 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Uses theoretical knowledge in computer and educational sciences for solution purposes in learning environments . | 3 |
| PLO06 | Yetkinlikler - Alana Özgü Yetkinlik | Identifies learning and teaching problems and designs solutions, selects and applies appropriate methods for this design. | |
| PLO07 | Yetkinlikler - Alana Özgü Yetkinlik | Develops an individual proposal, a product or a set of processes for solving a problem in the field as an indicator of independent working skills and the ability to take responsibility. Takes responsibility in individual or team projects and effectively fulfills the task. | 5 |
| PLO08 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | It engages in learning and self-development activities in order to follow current problems and changes in our country and in the world, and to acquire the knowledge and skills that the society in the near future will require.. | 5 |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | She undertakes new learning tasks in new situations and, when faced with a learning problem, applies problem solving that will lead her and her team to success on the basis of scientific and ethical values. | |
| PLO10 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Establishes effective and healthy communication with students, teachers, school management, families and individuals in the study group. It takes responsibility for the dissemination and distribution of developments in the field at the local or national level. | 3 |
| PLO11 | Bilgi - Kuramsal, Olgusal | Acting on the basis of scientific and ethical values in its works, it supports the protection and learning of these values. | 2 |
| PLO12 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | It carries the relevant developments in other fields to the field of instructional technologies. It creates and maintains an efficient collaborative working environment in cooperation with stakeholders. | |
| PLO13 | Yetkinlikler - Alana Özgü Yetkinlik | Has the knowledge of software and hardware to teach Information and Communication Technologies courses and support other teachers; uses information and communication technologies and communicates using these technologies. | |
| PLO14 | Beceriler - Bilişsel, Uygulamalı | Within the scope of instructional technologies, it produces individual and group projects to solve the current problems of society. | |
| PLO15 | Yetkinlikler - Öğrenme Yetkinliği | In order to access information, it conducts resource research and uses up-to-date information sources, evaluates the accuracy and timeliness of the information obtained from different sources. | |
| PLO16 | Yetkinlikler - Öğrenme Yetkinliği | He has the skills of learning to learn, critical thinking and creative thinking. | |
| PLO17 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Works effectively individually and in interdisciplinary groups. | |
| PLO18 | Yetkinlikler - Alana Özgü Yetkinlik | Learns and uses emerging new technologies; In accordance with the basics of instructional technologies, it prepares content compatible with these new environments and presents it in a way that is effective in learning. | |
| PLO19 | Yetkinlikler - Alana Özgü Yetkinlik | Knows distance learning theories and uses mainstream distance learning applications, media, tools, platforms and technologies for learning and teaching purposes. | |
| PLO20 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Follows the information in the field and communicates with colleagues by using a foreign language at least at the European Language portfolio B1 level. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Artificial intelligence definitions | Selected readings | Öğretim Yöntemleri: Soru-Cevap |
| 2 | Comparison with classical control applications | Selected readings | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 3 | Turing machine and its operation | Selected readings | Öğretim Yöntemleri: Problem Çözme |
| 4 | Neuron and nerve conduction | Selected readings | Öğretim Yöntemleri: Problem Çözme |
| 5 | The functioning of human brain and types of artificial neural networks | Selected readings | Öğretim Yöntemleri: Örnek Olay |
| 6 | Artificial neural networks and computer simulations | Selected readings | Öğretim Yöntemleri: Soru-Cevap, Problem Çözme |
| 7 | Fuzzy logic concept | Selected readings | Öğretim Yöntemleri: Benzetim |
| 8 | Mid-Term Exam | Selected readings | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Fuzzy logic concept applications | Selected readings | Öğretim Yöntemleri: Anlatım |
| 10 | Fuzzy logic systems, blurring | Selected readings | Öğretim Yöntemleri: Anlatım |
| 11 | Fuzzy logic systems and simulations | Selected readings | Öğretim Yöntemleri: Anlatım |
| 12 | Artificial intelligence control systems and applications today | Selected readings | Öğretim Yöntemleri: Bireysel Çalışma |
| 13 | The place and applications of artificial intelligence control systems in industry | Selected readings | Öğretim Yöntemleri: Anlatım |
| 14 | Artificial intelligence robots | Selected readings | Öğretim Yöntemleri: Proje Temelli Öğrenme |
| 15 | Artificial intelligence robots application | Selected readings | Ölçme Yöntemleri: Yazılı Sınav |
| 16 | Term Exams | Selected readings | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Selected readings | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 2 | 28 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 8 | 8 |
| Final Exam | 1 | 24 | 24 |
| Total Workload (Hour) | 88 | ||
| Total Workload / 25 (h) | 3,52 | ||
| ECTS | 4 ECTS | ||