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Information
| Code | BL237 |
| Name | Artificial Intelligence Applications |
| Term | 2024-2025 Academic Year |
| Semester | 3. Semester |
| Duration (T+A) | 2-1 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Ön Lisans Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Öğr. Gör. Mahir ATMIŞ |
| Course Instructor |
Öğr. Gör. Mahir ATMIŞ
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
To test the machine learning methods used in our age on current data.
Course Content
Classification, regression, supervised learning, linear regression, the smallest squares of error, logistics regression, perceptron, bias-variance, feature selection, artificial neural networks, decision trees, support vector machines, unsupervised learning
Course Precondition
None
Resources
Lecture Notes Mahir Atmış
Notes
Uygulamalar ile Python ve Yapay Zeka, Emrah Aydemir
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explains the concept of Artificial Intelligence and algorithms. |
| LO02 | Explains the concept of Artificial Neural Networks and deep networks. |
| LO03 | Applies supervised and unsupervised learning methods. |
| LO04 | Applies clustering methods. |
| LO05 | Tests learning algorithms on ready data sets. |
| LO06 | Defines the basic logic of learning algorithms. |
| LO07 | Applies the state of the art learning algorithms. |
| LO08 | Develops their own learning algorithm. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Lists basic, current and applied knowledge about Computer Technologies. | 4 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Remembers knowledge about occupational health and safety, environmental awareness, and quality processes. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Lists basic electronic components comprising computer hardware and their operations. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Remembers the knowledge about Atatürk's Principles and History of Revolution. | |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Keeps track of current developments and applications in computer programming, and utilizes them effectively. | 4 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Solves problems in the field of computer programming. | 4 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Creates algorithms and data structures, and performs mathematical calculations. | 5 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Explains and implements web programming technologies. | |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Performs database design and management. | |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Tests software and resolves errors. | |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Can utilize software and package programs in the field of computer programming. | 4 |
| PLO12 | Beceriler - Bilişsel, Uygulamalı | Explains, designs and installs network systems. | |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Uses word processor, spreadsheet, presentation programs. | |
| PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Can effectively present thoughts on computer technologies through written and verbal communication, expressing them clearly and comprehensibly. | |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Takes responsibility as a team member to solve unforeseen complex problems encountered in practical applications of computer programming. | |
| PLO16 | Yetkinlikler - Öğrenme Yetkinliği | Has awareness in career management and lifelong learning. | |
| PLO17 | Yetkinlikler - Alana Özgü Yetkinlik | Has societal, scientific, cultural, and ethical values in the collection, application, and announcement of results related to computer technologies. | |
| PLO18 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Follows developments in the field using a foreign language and communicates with colleagues. | |
| PLO19 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Can effectively communicate in Turkish both in written and oral forms. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | What's Learning? | Reading from the book | Öğretim Yöntemleri: Anlatım |
| 2 | Clustering algorithms | Reading from the book | Öğretim Yöntemleri: Anlatım |
| 3 | Classification algorithms | Reading from the book | Öğretim Yöntemleri: Anlatım |
| 4 | Regression | Studying the sample codes in the book | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 5 | Decision Trees | Studying the sample codes in the book | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 6 | Support Vector Machines | Studying the sample codes in the book | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 7 | Bayes Classification | Studying the sample codes in the book | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 8 | Mid-Term Exam | Repeating the topics | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Single Layer Artificial Neural Networks | Studying the sample codes in the book | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 10 | Multi Layer Artificial Neural Networks | Studying the sample codes in the book | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 11 | Convolutional Neural Networks | Studying the sample codes in the book | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 12 | Convolutional Neural Networks (continuation) | Studying the sample codes in the book | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 13 | Reinforcement Learning | Studying the sample codes in the book | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 14 | Unsupervised Learning | Studying the sample codes in the book | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 15 | Large Language Models | Studying the sample codes in the book | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 16 | Term Exams | Repeating the topics | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Repeating the topics | Ölçme Yöntemleri: Yazılı Sınav |
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 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 2 | 2 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 5 | 5 |
| Final Exam | 1 | 10 | 10 |
| Total Workload (Hour) | 87 | ||
| Total Workload / 25 (h) | 3,48 | ||
| ECTS | 3 ECTS | ||