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No
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PY No |
Program Requirements
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6
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PY1
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Yapay zekâ ve veri mühendisliği prensiplerini derinlemesine anlamak
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6
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PY1
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To raise creative individuals who are able to think critically and solve problems, constantly upgrade themselves in personal and professional fields, are environmentally conscious, respect diversity, and who use their knowledge and skills for the benefit of humanity and the country
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7
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PY2
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Having in-depth knowledge and expertise in the fields of Science, Engineering, Agriculture, and Interdisciplinary studies, being able to effectively present acquired academic knowledge in both written and verbal forms in professional settings, acting with a sense of social responsibility to utilize knowledge and skills for the advancement of society and the country, possessing the ability to analyze new technologies and applications using lifelong learning, and being informed about innovative concepts
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8
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PY3
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The ability to conduct independent research, participate in national and international projects, emphasize environmental awareness in research, possess an entrepreneurial perspective, contribute to national technology and production by engaging in industry-focused projects, adopt ethical principles in research, undertake thesis work at a universal level, produce publications in journals with national and international recognition and high impact factors, and develop oral and written communication skills to enhance the recognition of our university on national and international scientific platforms
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9
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PY4
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In-depth understanding of artificial intelligence and data engineering principles
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10
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PY5
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Applying mathematical and statistical concepts to artificial intelligence and data engineering problems
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11
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PY6
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Evaluating and applying different machine learning models to solve engineering problems.
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12
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PY7
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Developing complex algorithms and architectures for artificial intelligence applications
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13
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PY8
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Applying and optimizing advanced machine learning techniques
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14
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PY9
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Analyzing large data sets and pre-processing them to extract meaningful information
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15
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PY10
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Developing artificial intelligence solutions for dynamic and adaptive systems
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16
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PY11
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Designing experiments to validate AI models and algorithms
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17
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PY12
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Applying ethical principles and considering social impacts in artificial intelligence applications
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18
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PY13
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Demonstrate effective communication skills in technical and interdisciplinary contexts
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19
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PY14
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Developing innovative solutions in the field of artificial intelligence and data engineering
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20
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PY15
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Effectively performing data analysis and management in big data systems
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21
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PY16
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Developing new methods and models by leading research and development projects
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21
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PY16
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Working in accordance with legal regulations and ethical rules in the field of artificial intelligence and data engineering
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22
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PY17
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Ensuring effective cooperation and coordination in interdisciplinary projects
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