Prescriptive Analytics
Optimization, decision analysis, simulation, and analytics-based decision support.
AnalyticsView course →
Teaching Philosophy
My teaching philosophy is grounded in active learning, applied problem-solving, accessibility, and professional relevance. I use structured examples, real-world cases, software demonstrations, collaborative activities, and reflective assignments to help students connect theory with practice.
Courses
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Entrepreneurship
Opportunity recognition, customer discovery, business models, and venture validation.
InnovationView course →
Systems Analysis & Design
Requirements analysis, process modeling, data modeling, systems design, and acquisition.
Information SystemsView course →
Data Analytics
Business data analysis, analytical thinking, visualization, and evidence-based decisions.
DataView course →
Information Technology Infrastructure
Digital infrastructure, platforms, networks, cloud concepts, and IT management.
TechnologyView course →
Teaching Methods
Applied cases: Students connect concepts with realistic business and technology problems.
Software demonstrations: Analytical tools and modeling methods are shown step by step.
Experiential learning: Assignments involve interviews, validation, analysis, and practical decisions.
Accessible materials: Slides, examples, tutorials, and asynchronous resources support learning.