Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
---|---|---|---|---|---|
Artıfıcıal Intellıgence | YBS 413 | 7 | 2 + 0 | 2 | 5 |
Ön Koşul Dersleri | |
Önerilen Seçmeli Dersler | |
Dersin Dili | Türkçe |
Dersin Seviyesi | Lisans |
Dersin Türü | Seçmeli |
Dersin Koordinatörü | Doç.Dr. ÇAĞLA EDİZ |
Dersi Verenler | Doç.Dr. ÇAĞLA EDİZ, |
Dersin Yardımcıları | |
Dersin Kategorisi | Alanına Uygun Öğretim |
Dersin Amacı | It is aimed to help students have an idea about basic techniques and mechanisms of artifical intelligence. Those who have taken this course will be able to understand the conceptual and historical development of AI, the aims of AI and the methods to achieve them, and to analyse the problems using AI techniques and know exactly where to implement these techniques with a high-skill. |
Dersin İçeriği | Intelligence, artificial intelligence concept, information, learning, inference, searching methods of AI, information based systems, engineering applications for AI. |
# | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
---|---|---|---|
1 | To define the subject of AI | ||
2 | To give examples for AI applications | ||
3 | To express why AI used in engineering | ||
4 | To know search techniques and give samples | ||
5 |
Hafta | Ders Konuları | Ön Hazırlık |
---|---|---|
1 | Introduction to AI | |
2 | Properties of the intelligent systems | |
3 | Search algorithms | |
4 | Representation of the information | |
5 | Expert system | |
6 | Inference | |
7 | Expert system shell | |
8 | MID TERM EXAM | |
9 | Intelligent system applications | |
10 | Learning | |
11 | Artificial neural network and program representation | |
12 | Artificial neural network applications | |
13 | Fuzzy logic mathematic | |
14 | Fuzzy logic applications |
Kaynaklar | |
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Ders Notu | |
Ders Kaynakları |
Sıra | Program Çıktıları | Katkı Düzeyi | |||||
---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |||
1 | Can follow new and current technologies and evaluate them | X | |||||
2 | Can understand the operation of Corporate Information Systems and use these systems at a basic level | X | |||||
3 | Constructs numerical models of basic business problems. | X | |||||
4 | Solves modeled business problems with the help of information technologies and interprets the solutions | X | |||||
5 | Contributes to informatics oriented projects as a member of the team | X | |||||
6 | Effectively uses information technology tools that support teamwork in project management. | X | |||||
7 | Master basic business functions and information technologies and establishes the link between them | X | |||||
8 | Contributes to the design, development and implementation processes of corporate information systems. | X | |||||
9 | Can produce and present quality documentation for all kinds of projects, including entrepreneurship projects. | X | |||||
10 | Prepares informative, effective and interesting presentations and presents these presentations. | X |
Değerlendirme Sistemi | |
---|---|
Yarıyıl Çalışmaları | Katkı Oranı |
1. Ara Sınav | 70 |
1. Ödev | 10 |
2. Ödev | 10 |
3. Ödev | 10 |
Toplam | 100 |
1. Yıl İçinin Başarıya | 60 |
1. Final | 40 |
Toplam | 100 |
AKTS - İş Yükü Etkinlik | Sayı | Süre (Saat) | Toplam İş Yükü (Saat) |
---|---|---|---|
Course Duration (Including the exam week: 16x Total course hours) | 16 | 2 | 32 |
Hours for off-the-classroom study (Pre-study, practice) | 16 | 2 | 32 |
Mid-terms | 1 | 10 | 10 |
Quiz | 2 | 5 | 10 |
Assignment | 1 | 20 | 20 |
Final examination | 1 | 15 | 15 |
Toplam İş Yükü | 119 | ||
Toplam İş Yükü / 25 (Saat) | 4,76 | ||
Dersin AKTS Kredisi | 5 |