BUS390 Business Intelligence and Analytics

Covers sophisticated business data analytics methodologies for complex real-world scenarios. Methodologies include Bayesian networks, cost-benefit analysis for trinary classification models, Kohonen networks, imputation of missing data, and model voting. Emphasis on interpreting output for business clients.

Credits

  • 3

Restrictions

  • Must be enrolled in the following level: Undergraduate
  • Must be enrolled in one of the following field(s) of study (major, minor or concentration): Accounting (542), Finance (543), General Business (547), General Business - ITU (547U), General Business - Izmir (547I), International Business (546), Management (544), Marketing (545), Pre-MBA (0MBA), Undeclared:Business (000B), Undeclared:Pre-Accounting (00AC), Undeclared:Pre-Finance (00FI), Undeclared:Pre-Gen Business (00GB), Undeclared:Pre-Interntnl Bus (00IB), Undeclared:Pre-Management (00MG), Undeclared:Pre-Marketing (00MK)
  • May not be enrolled in the following class: Freshman

Prerequisites

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