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
Adapts to professional business life by observing corporate working environments, industrial workflows, and professional relations in the fields of artificial intelligence, machine learning, and data science.	-	-	-	-	-	-	-	-	-	-	-	-
Effectively applies theoretical and practical engineering knowledge acquired during undergraduate education to solve problems in real production, service, or R&D processes within the enterprise.	-	-	-	-	-	-	-	-	-	-	-	-
Gains the ability to define, analyze, mathematically/algorithmically model, and solve real-world problems and complex systems encountered in the industry.	-	-	-	-	-	-	-	-	-	-	-	-
Conducts data collection, preprocessing, model training, hyperparameter optimization, and testing steps in project processes using contemporary artificial intelligence tools and libraries.	-	-	-	-	-	-	-	-	-	-	-	-
Participates in multidisciplinary teamwork within the workplace, acting with a sense of professional and ethical responsibility.	-	-	-	-	-	-	-	-	-	-	-	-
Presents the engineering activities, data analysis results, and technical achievements conducted during the internship in a written technical report (Internship Report) compliant with academic standards.	-	-	-	-	-	-	-	-	-	-	-	-