Duyurular & Dokümanlar

Ödev 3

Presentation Dates for the Introduction to Artificial Intelligence
Ödev
8.05.2026

The presentation dates for the Introduction to Artificial Intelligence are given in the attachment.


The project assignment for the Introduction to Artificial Intelligence
Ödev
21.04.2026

The project assignment for the Introduction to Artificial Intelligence course has been announced on www.online.yildiz.edu.tr. Details of the assignment are also provided in the attached document.

As explained in detail in the attachment, students should form project groups. The spokesperson of each group must send a prioritized list of their preferred topics to baslan@yildiz.edu.tr by Friday, April 24, 2026, at 22:00.

Please check all deadlines in the document carefully.





ASSIGNMENT OF TOPICS TO PROJECT GROUPS for the Introduction to Artificial Intelligence
Ödev
25.04.2026

Based on the emails you sent (and if necessary, by drawing lottery), topics have been assigned so that each topic falls into a maximum of two groups. The list of groups and topics is given in the attachment.


Duyuru 2

INTRODUCTION TO ARTIFICIAL INTELLIGENCE: General information
Duyuru
26.02.2026

The general information about the course is attached.


PROGRAMMING LANGUAGE 2: General information
Duyuru
24.02.2026

The general information about the course is attached.


Ders Notu 17

INTRODUCTION TO ARTIFICIAL INTELLIGENCE 6
Ders Notu
7.05.2026

The lecture notes 6 are given in the attachment.


INTRODUCTION TO ARTIFICIAL INTELLIGENCE 6: Example
Ders Notu
7.05.2026

The examples related to the undeterministic case are given in the attachment.


PROGRAMMING LANGUAGE 2: Week 8
Ders Notu
7.05.2026

The lecture notes related to structures, enums and some lab. examples are given in the attachment.


PROGRAMMING LANGUAGE 2: Week 7
Ders Notu
29.04.2026

The lecture notes related to pointers, structures and some lab. examples are given in the attachment.


PROGRAMMING LANGUAGE 2: ALL C CODES
Ders Notu
10.04.2026

The all examined codes and lab codes are given in the attachment.


PROGRAMMING LANGUAGE 2: Week 6
Ders Notu
8.04.2026

The lecture notes related to string 2 and some lab. examples are given in the attachment.


INTRODUCTION TO ARTIFICIAL INTELLIGENCE: Week 5
Ders Notu
3.04.2026

The lecture notes of week 5 are given in the attachment.


INTRODUCTION TO ARTIFICIAL INTELLIGENCE: Example
Ders Notu
3.04.2026

The examples related to search algorithms are given in the attachment.


PROGRAMMING LANGUAGE 2: Week 5
Ders Notu
2.04.2026

The lecture notes related to string 1, some lab. examples and a worksheet are given in the attachment.


INTRODUCTION TO ARTIFICIAL INTELLIGENCE: Week 4
Ders Notu
26.03.2026

The lecture notes of week 4 are given in the attachment.


PROGRAMMING LANGUAGE 2: Week 4
Ders Notu
25.03.2026

The lecture notes related to pointers (part 3), and some lab. examples are given in the attachment.


INTRODUCTION TO ARTIFICIAL INTELLIGENCE: Week 3
Ders Notu
12.03.2026

The lecture notes of week 3 are given in the attachment.


PROGRAMMING LANGUAGE 2: Week 3
Ders Notu
10.03.2026

The lecture notes related to pointers (part 2), and some lab. codes are given in the attachment.


INTRODUCTION TO ARTIFICIAL INTELLIGENCE: Week 2
Ders Notu
5.03.2026

The lecture notes of week 2 are given in the attachment.


PROGRAMMING LANGUAGE 2: Week 2
Ders Notu
5.03.2026

The lecture notes related to pointers (part 1), and some lab. codes are given in the attachment.


INTRODUCTION TO ARTIFICIAL INTELLIGENCE: Week 1
Ders Notu
26.02.2026

The lecture notes of week 1 are given in the attachment.


PROGRAMMING LANGUAGE 2: Week 1
Ders Notu
25.02.2026

The lecture notes related to functions and recursive functions, and some lab. codes are given in the attachment.


Tez Dosyaları 4

Hipospadias olgularında inflamatuar sürecin veri madenciliği yöntemleri ile tespiti
Makine Öğrenmesi Teknikleriyle Mikrodalga Meme Kanserinin Tespiti ve Konumunun Belirlenmesi
Yeni Doğanların Yoğun Bakım İhtiyacının Makine Öğrenmesi Teknikleri ile Doğum Öncesinde Tahmin Edilmesi
Veri Madenciliği Kullanılarak Mikrodalga Verileri ile Beyindeki Kitlesel Lezyonların Teşhisi