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Information
| Unit | ADANA VOCATIONAL SCHOOL |
| Code | BPP239 |
| Name | Artificial intelligence |
| Term | 2021-2022 Academic Year |
| Semester | 3. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Ön Lisans Dersi |
| Type | Normal |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Öğr. Gör. Dr. YILMAZ KOÇAK |
| Course Instructor |
Öğr. Gör. Dr. YILMAZ KOÇAK
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
To learn definition and methods of artificial intelligence, to learn general structure of intelligent algorithms, to have knowledge about artificial neural networks, deep learning, expert systems, fuzzy logic techniques. To prepare basic artificial intelligence applications with artificial intelligence programs (Python, Matlab, etc.).
Course Content
Definition of artificial intelligence, algorithms and general structure of systems, expert systems, artificial neural networks, deep networks and deep learning, crips logic and fuzzy logic, software tools using artificial intelligence.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Able to define artificial intelligence |
| LO02 | Understanding the structure of artificial intelligence algorithms and systems |
| LO03 | Able to define brain function and neuron structures |
| LO04 | Able to establish network structures according to types and functions of neural networks |
| LO05 | Understanding of deep learning and expert systems |
| LO06 | Understanding concepts such as fuzzy logic systems, genetic algorithms, and ant colony algorithms |
| LO07 | Ability to make basic level artificial intelligence applications |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Communicates effectively with all partners on a sectoral basis. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | has the basic knowledge necessary to develop computer software, to establish algorithm, sequential and simultaneous flow logic | 3 |
| PLO03 | Yetkinlikler - Alana Özgü Yetkinlik | Designs systems for fundamental problems in microcontrollers, embedded systems and analog/digital electronics. | |
| PLO04 | Yetkinlikler - Alana Özgü Yetkinlik | Uses basic software related to information and communication technologies, specific to his profession. | 2 |
| PLO05 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Applies the software and hardware developments in the field of Computer Programming independently. | 3 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Explains the necessary methods for solving well-defined problems in the field of Computer Technologies and Programming. | 4 |
| PLO07 | Bilgi - Kuramsal, Olgusal | Has the basic knowledge level required to develop software specific to web, mobile and other electronic platforms. | 3 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Develops software for desktop and other environments. | 3 |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Takes an active role in project development processes, independently or as part of a group, within a planned project. | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Knows project planning, development and implementation processes. | |
| PLO11 | Yetkinlikler - Alana Özgü Yetkinlik | Performs data storage, editing, querying, etc. operations in computer and network environment. | |
| PLO12 | Yetkinlikler - Alana Özgü Yetkinlik | It has the ability to solve unpredictable hardware and software problems. | |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Codes software components that have been analyzed and the algorithm has been prepared. | 4 |
| PLO14 | Bilgi - Kuramsal, Olgusal | Knows the methods to be used in software development. | 4 |
| PLO15 | Yetkinlikler - Öğrenme Yetkinliği | Constantly follows current innovations and developments in the field of information technologies. | 2 |
| PLO16 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Communicates verbally and in writing in a foreign language. | |
| PLO17 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | It has the phenomenon of the necessity of moral and ethical behaviors related to the information technology profession. | |
| PLO18 | Yetkinlikler - Alana Özgü Yetkinlik | Has the necessary awareness of occupational safety in her field. | |
| PLO19 | Beceriler - Bilişsel, Uygulamalı | It uses operating systems with administrative features. | |
| PLO20 | Bilgi - Kuramsal, Olgusal | Has basic knowledge of entrepreneurship. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to Artificial Intelligence | Review of Source Book | |
| 2 | Artificial Neural Networks and Basic Elements | Learning about artificial neural networks | |
| 3 | Creation of Artificial Neural Networks | Learning about artificial neural networks | |
| 4 | Structures of Artificial Neural Networks | Research about structures of artificial neural networks | |
| 5 | Supervised Learning | Research about learning methods | |
| 6 | Unsupervised Learning | Research about learning methods | |
| 7 | Deep Networks and Deep Learning | Research about deep learning | |
| 8 | Mid-Term Exam | Preparing for the exam | |
| 9 | Introduction to Fuzzy Logic | Research about fuzzy logic | |
| 10 | Crisp Sets and Fuzzy Sets | Learning about sets | |
| 11 | Genetic Algorithms | Learning about genetic | |
| 12 | Ant Colony Algorithms | Research about ant colony behavior | |
| 13 | Expert Systems | Research about expert systems | |
| 14 | Machine Learning | Research about machine learning | |
| 15 | Applications of Artificial Intelligence | Researching programming languages used in artificial intelligence applications | |
| 16 | Term Exams | Preparing the exam | |
| 17 | Term Exams | Preparing the exam |
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 | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 6 | 6 |
| Final Exam | 1 | 16 | 16 |
| Total Workload (Hour) | 78 | ||
| Total Workload / 25 (h) | 3,12 | ||
| ECTS | 3 ECTS | ||