Teaching

1. ISE/DSA 5503 - Healthcare Analytics, Graduate level, 3 credits (Spr 2022, Spr 2023, Spr 2024).

This course gives an overview of the primary concepts and methods towards developing artificial intelligence (AI)-enabled healthcare systems. We will focus on foundational methods in machine learning and data analytics for prediction and pattern recognition, and apply them to specific areas in medicine and healthcare including, but not limited to, disease diagnosis, patient treatments and their outcomes prediction.

2. ISE/DSA 5133 - Energy Analytics, Graduate level, 3 credits (Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024).

In today's data-driven world, the ability to extract knowledge and create successful future energy projections is critical for the energy sectors. In this regard, data science body of knowledge promises a strong set of analytical tools that can be used for demand/supply forecasting and price prediction. This course aims at teaching the students the fundamentals of data analysis and interpretation.

3. ISE 4223 - Fundamentals of Engineering Economics, Undergraduate level, 3 credits (Spr 2020, Spr 2021, Spr 2022, Spr 2023, Spr 2024).

Development and use of time value of money interest formulas. Inflation considerations and bond problems. Bases for comparison of alternatives, present worth, annual worth, rate of return and savings-investment ratio methods. Decision-making among independent, dependent, capital-constrained and un-equal lived projects. Depreciation methods and their effect on corporate income taxes, leading to after-tax cash flow analysis. Benefit-cost and cost effectiveness analysis.