TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF EDUCATION |
| COMPUTER EDUCATION AND INSTRUCTIONAL TECHNOLOGY PR. | |
| Code | BTES201 |
| Name | Artificial Intelligence Applications in Education |
| Term | 2020-2021 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 | Uzaktan Öğretim |
| Catalog Information Coordinator | Prof. Dr. OZAN ŞENKAL |
| Course Instructor |
Prof. Dr. OZAN ŞENKAL
(Güz)
(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
Resources
Notes
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 | - | Explain sub-fields of instructional technologies and integral structure of its process and also its relation to the other fields.Explain the integral structure of instructional technologies and information technologies or computer science applications.Explain concepts that constitutes the basis for scientific thinking in the scope of the field and the related fields. | 2 |
| PLO02 | - | Apply the processes of analysis, design, development, and evaluation on the basis of knowledge of instructional technologies.Utilize information technologies and computer science applications in order to create an effective and productive learning environment.Utilize concepts and applications of scientific research and basic statistics, which are the basis of scientific thinking, for the conditions in the scope of the field and related fields. | 3 |
| PLO03 | - | Apply the processes of analysis, design, development, and evaluation on the basis of knowledge of instructional technologies.Utilize information technologies and computer science applications in order to create an effective and productive learning environment.Utilize concepts and applications of scientific research and basic statistics, which are the basis of scientific thinking, for the conditions in the scope of the field and related fields. | 4 |
| PLO04 | - | Develop a plan, apply the plan and assess the results based on scientific view for the solution of the problems presented in the scope of the field or related fields.Put forward new products or processes on the basis of components of instructional technologies, computer science, for the related situations. | 3 |
| PLO05 | - | Develop a personal proposal, a product or a group of processes for the solution of a problem related to the field as an indicator of the skills of working independently and taking responsibility.Take responsibility of an individual or group projects and accomplishing his/her undertaken missions. | 4 |
| PLO06 | - | Follow current problems and applications and determining information and skills to undertake learning missions for the following stage.Apply the solution for the problem on the basis of scientific and ethical values when she/he confronts a learning problem. | 5 |
| PLO07 | - | Build a healthy communication with students, teachers, school administration, and the individuals in the study group. Comprehend a foreign language in order to follow the international resources that can be utilized for the solution of problems related to the field. Take responsibilities for the distribution and dissemination of the developments in the field on local or national range. | 5 |
| PLO08 | - | Act on the basis of scientific and ethical values in her/his works and also support preservation and learning of these values. Develop and evaluate strategic views on topic related to the future of the field. Transfer related progresses in other related fields to the field of instructional technologies. Create and maintain a cooperative and productive working environment by developing an insight related to the behaviors of the shareholders. | 5 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Artificial intelligence definitions | Selected readings | |
| 2 | Comparison with classical control applications | Selected readings | |
| 3 | Turing machine and its operation | Selected readings | |
| 4 | Neuron and nerve conduction | Selected readings | |
| 5 | The functioning of human brain and types of artificial neural networks | Selected readings | |
| 6 | Artificial neural networks and computer simulations | Selected readings | |
| 7 | Fuzzy logic concept | Selected readings | |
| 8 | Mid-Term Exam | Selected readings | |
| 9 | Fuzzy logic concept | Selected readings | |
| 10 | Fuzzy logic systems, blurring | Selected readings | |
| 11 | Fuzzy logic systems and simulations | Selected readings | |
| 12 | Artificial intelligence control systems and applications today | Selected readings | |
| 13 | The place and applications of artificial intelligence control systems in industry | Selected readings | |
| 14 | Artificial intelligence robots | Selected readings | |
| 15 | Artificial intelligence robots | Selected readings | |
| 16 | Term Exams | Selected readings | |
| 17 | Term Exams | Selected readings |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
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 | ||