Course Information

Course Name	Turkish	Yapay Zeka Destekli Bilgisayar Mühendisliği
	English	Artificial Intelligence Aided Computer Engineering
Course Code	BLG 000	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	3	-	-	-
Course Language		English
Course Coordinator		Yusuf Hüseyin Şahin
Course Objectives		1. Introduction to current and emerging methods and usage patterns of artificial intelligence tools in computer engineering applications. 2. Explanation of preference strategies with current access methods to artificial intelligence tools and online services such as APIs, middleware, prompt engineering, and frameworks. 3. Understanding of current usage methods of artificial intelligence in code development processes in software engineering. 4. Understanding of artificial intelligence tools and usage methods in software quality and project management. 5. Demonstration of current and potential usage topics of artificial intelligence tools in computer engineering, including design, quality, security, reliability, efficiency, and ethical aspects.
Course Description		The course objectives focus on the utilization of rapidly evolving artificial intelligence methods such as AiaaS, PaaS, SaaS, milddleware, GAI models etc, and tools within the scope of computer engineering, encompassing analysis, planning, software development, design, computation, modeling, simulation, management, reporting, prediction, testing, auditing, integration, security, reliability, automation, decision-making, efficiency, sustainability, ethics, quality, competitiveness, and optimization.
Course Outcomes		1. Yazılım geliştirme süreçlerinde YZ servis ve uygulamaları 2. Üretken yapay zeka ile multimedya işleme ve bilişim uygulamaları 3. YZ işaret ve veri işleme için arakatman yazılımları, model ve YZ hizmet platformlarının kullanılması 4. Bilişim projelerinde multimedya işlemeye dayalı YZ model ve hizmetlerinin kullanılması 5. Yazılım ve Bilgisayar mühendisliği iş süreçlerinde YZ araç ve platfomlarının kullanılması 6. YZ araçlarının yazılım, donanım ve hizmet entegrasyon yöntemleri
Pre-requisite(s)		( MAT 281 MIN. DD Veya MAT 281E MIN. DD ) AND ( BLG 202 MIN. DD Veya BLG 202E MIN. DD )
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