3 Credit Hours, 7 Weeks. Marketing foundations and value creation; engineering, industrial, and organizational markets; market-opportunity definition; customer and stakeholder analysis; market research and AI-assisted market intelligence; market definition, sizing, segmentation, and targeting; competitor benchmarking, positioning, and customer value; pricing, demand, and elasticity; market access and commercial feasibility; new-product diffusion forecasting; supervised AI-agent workflows; and evidence-based Go, Modify, or No-Go recommendations.
Applied analytics is delivered through guided, parameter-editing Google Colab notebooks (pandas, scikit-learn, SciPy) ? no coding background required. Prerequisite: Probability and Statistics.
Teaching Method: Online/Blended ? two synchronous lectures (1.5 hrs each) and one recorded learning package per week