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BAN 892 Applied AI for Business Analytics Select Term:
This course is tailored to professional business analytics students seeking to apply cutting-edge AI methods to real-world business problems. Building on foundational skills in statistics, SQL, and Python, students develop advanced supervised and unsupervised models spanning clustering, dimensionality reduction, text mining, recommendation systems, deep learning, and generative AI. A key feature of the course is the use of vibe coding — leveraging AI-assisted development environments to rapidly prototype and deploy sophisticated models. Students engage with applied research topics across disciplines and are supported in the development of their graduation projects.
SU Credits : 3.000
ECTS Credit : 10.000
Prerequisite :
Corequisite : -
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