Faculty Of Computer And Information Technologies | Artificial Intelligence And Machine Learning Pr. (English) | Course Structure Diagram with Credits

I. SEMESTER

Code	Course Title	Language of Instruction	Laboratory + Practice	ECTS
BBB101	Introduction to Programming	English	2+2	5.0
FİZ105	Physics I	English	4+0	6.0
FİZ107	Physics Laboratory I	English	0+2	1.5
MAT1013	Calculus I	English	4+2	7.5
TAR165	Atatürk's Principles and History of Turkish Revolution I	Turkish	2+0	2.0
YZM1001	Introduction to Artificial Intelligence and Machine Learning	English	4+0	6.0
	Elective Courses			2.0
Sum				30

II. SEMESTER

Code	Course Title	Language of Instruction	Laboratory + Practice	ECTS
BBB1002	Object Oriented Programming	English	2+2	5.0
MAT1014	Calculus II	English	4+2	7.5
MAT2021	Linear Algebra	English	3+1	4.5
MAT239	Discrete Mathematics	English	3+0	5.0
TAR166	Atatürk's Principles and History of Turkish Revolution II	Turkish	2+0	2.0
YZM1002	Python Programming	English	2+1	4.0
	Elective Courses			2.0
Sum				30

III. SEMESTER

Code	Course Title	Language of Instruction	Laboratory + Practice	ECTS
BBB2005	Data Structures and Algorithms	English	3+0	5.0
BBB2007	Database Management Systems	English	3+0	4.0
İSG2001	Occupational Health and Safety I	Turkish	2+0	2.0
İST2023	Probability	English	3+0	5.0
TÜR125	Turkish Language I	Turkish	2+0	2.0
YZM2001	Scientific Computing Techniques	English	3+0	5.0
	Elective Courses			7.0
Sum				30

IV. SEMESTER

Code	Course Title	Language of Instruction	Laboratory + Practice	ECTS
İSG2002	Occupational Health and Safety II	Turkish	2+0	2.0
İST2024	Statistics	English	3+0	5.0
TÜR126	Turkish Language II	Turkish	2+0	2.0
YZM2002	Algorithm Design and Analysis	English	3+0	5.0
YZM2004	Principles of Artificial Intelligence	English	3+1	5.0
YZM2006	Data Acquisition and Processing	English	3+0	5.0
	Elective Courses			6.0
Sum				30

V. SEMESTER

Code	Course Title	Language of Instruction	Laboratory + Practice	ECTS
YZM3001	Fundamentals of Supervised Learning	English	2+2	5.0
YZM3003	Applied Artificial Intelligence	English	3+2	6.0
YZM3005	Introduction to Optimization Theory	English	3+2	6.0
YZM3007	Artificial Neural Networks	English	3+0	4.0
YZMSJ3001	Artificial Intelligence and Machine Learning Internship I	English	0+2	5.0
	Area Elective Courses			4.0
Sum				30

VI. SEMESTER

Code	Course Title	Language of Instruction	Laboratory + Practice	ECTS
YZM3002	Deep Learning	English	3+0	6.0
YZM3004	Applied Machine Learning	English	3+2	6.0
YZM3006	Reinforcement Learning	English	3+2	6.0
YZM3008	Introduction to Image Processing	English	3+0	5.0
	Elective Courses			3.0
	Area Elective Courses			4.0
Sum				30

VII. SEMESTER

Code	Course Title	Language of Instruction	Laboratory + Practice	ECTS
YZM4001	Graduation Project I	English	0+4	5.0
YZM4003	Artificial Intelligence and Ethics	English	3+0	4.0
YZMSJ4001	Artificial Intelligence and Machine Learning Internship II	English	0+2	5.0
	Area Elective Courses			16.0
Sum				30

VIII. SEMESTER

Code	Course Title	Language of Instruction	Laboratory + Practice	ECTS
YZM4002	Graduation Project II	English	0+4	5.0
YZM4004	Natural Language Processing	English	3+0	6.0
	Elective Courses			3.0
	Area Elective Courses			16.0
Sum				30