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Students learn the basics of computer programming and effectively apply these skills in artificial intelligence and machine learning projects. |
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| 2 |
Understand and apply mathematical concepts required to solve problems in artificial intelligence and machine learning. |
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Master algorithm design, analysis, and optimization to develop efficient and innovative solutions. |
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Learn fundamental machine learning techniques, such as supervised and unsupervised learning, and adapt them to real-world problems. |
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Adopt ethical AI practices and design systems with social and technological responsibility. |
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Learn data collection, analysis, and interpretation processes to successfully develop machine learning models. |
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Master deep learning methods and artificial neural networks to develop advanced solutions for complex datasets. |
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| 8 |
Identify, analyze, and solve optimization problems using contemporary techniques. |
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Professionally manage requirements analysis, design, implementation, and testing phases in AI projects. |
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| 10 |
Work effectively in multidisciplinary teams and successfully convey technical knowledge both in writing and orally. |
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| 11 |
Continuously improve themselves by following advancements in AI and machine learning, advancing their careers. |
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Gain hands-on experience through internships and industrial projects, preparing them for the industry. |
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Eskisehir Technical University Info Package