Artificial Intelligence Engineering (Master) (with Thesis) (English) Preview
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

Course and Programme Learning Outcomes Matrix

Program Outcomes

total

Courses

AI5101 Scientific Writing Techniques

30.56

AI5101 Scientific Writing Techniques

AI5189 Master Thesis

58.33

AI5189 Master Thesis

COE5101 Bilimsel Araştırma Yöntemleri ve Etik

52.78

COE5101 Bilimsel Araştırma Yöntemleri ve Etik

COE5102 Graduate Seminar

13.89

COE5102 Graduate Seminar

COE5102 Graduate Seminar						3					2	5	13.89
COE5102 Graduate Seminar						O					D
COE5102 Graduate Seminar
COE5006 Error-Correcting Codes												0	0.00
COE5006 Error-Correcting Codes
COE5006 Error-Correcting Codes
COE5012 Parallel Computing												0	0.00
COE5012 Parallel Computing
COE5012 Parallel Computing
COE5022 Internet of Things		2	3	2	2					2		11	30.56
COE5022 Internet of Things		D	O	D	D					D
COE5022 Internet of Things
COE5026 Wireless Adhoc Networks		2	3									5	13.89
COE5026 Wireless Adhoc Networks		D	O
COE5026 Wireless Adhoc Networks
AO5006 Aspects of Deep Learning				2	2	3					2	9	25.00
AO5006 Aspects of Deep Learning				D	D	O					D
AO5006 Aspects of Deep Learning
AO5007 Data Science												0	0.00
AO5007 Data Science
AO5007 Data Science
AO5012 Human-Computer Interaction	3					2						5	13.89
AO5012 Human-Computer Interaction	O					D
AO5012 Human-Computer Interaction
AO5013 Robotic Systems												0	0.00
AO5013 Robotic Systems
AO5013 Robotic Systems
AO5017 Computational Biology	2	2	3	1	3		2	3	1	3	1	21	58.33
AO5017 Computational Biology	D	D	O	ED	O		D	O	ED	O	ED
AO5017 Computational Biology
AO5018 Machine Learning Operations												0	0.00
AO5018 Machine Learning Operations
AO5018 Machine Learning Operations
DATS5027 Machine Learning Applications in Business												0	0.00
DATS5027 Machine Learning Applications in Business
DATS5027 Machine Learning Applications in Business