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ARTIFICIAL INTELLIGENCE AND APPLICATIONS IN BUSINESS COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
IBT429 ARTIFICIAL INTELLIGENCE AND APPLICATIONS IN BUSINESS 7 3 3 7

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)

Explains the fundamental concepts of artificial intelligence, including machine learning, deep learning, natural language processing, robotic process automation, and predictive analytics, and their roles in business transformation.
Analyzes the integration of AI applications into core business functions such as finance, marketing, human resources, supply chain, and international trade.
Applies AI-based data analytics and forecasting tools to support managerial decision-making and improve operational efficiency and customer experience.
Evaluates AI strategies in terms of ethical responsibility, data security, explainability (XAI), sustainability, and competitive advantage.
Designs a project-based AI-driven business solution or model that addresses a real organizational problem and demonstrates data-driven, innovative, and strategic thinking.