Akademik Dersler - İçerik

0 : Does not support 1 : Low-level support 2 : Mid-level support 3 : Top level support

Learning Outcomes	1	2	3	4	5	6	7	8	9	10	11	12
Define the fundamental concepts, history, and types of intelligent agents in artificial intelligence.	2	1	2	1	2	1	1	1	1	2	3	1
Model constraint satisfaction problems (CSPs) and develop algorithms to solve them.\n	2	3	3	1	1	1	0	3	2	1	2	1
Explain the architecture and core components of expert systems and design a simple rule-based system.	2	1	2	1	1	1	1	1	3	1	2	1
Distinguish between the fundamental paradigms of machine learning (supervised, unsupervised, reinforcement).	2	2	2	3	1	3	2	2	2	1	3	2
Explain the basic building blocks of artificial neural networks and how deep learning models are trained.	2	3	2	3	1	2	3	2	2	1	3	2
Discuss the core techniques of key AI application areas such as image processing and natural language processing.	2	2	2	2	2	3	3	2	2	2	3	2
Identify the fundamental problems in robotics and the role of artificial intelligence in this field.	2	2	3	2	1	2	1	2	2	1	3	2
Analyze the ethical dilemmas and social responsibilities involved in the development and use of artificial intelligence systems.	0	0	1	2	3	3	2	1	3	3	3	2