The Gunasooriya Lab
 

TEACHING

 
 
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CHE 4473 KINETICS

2024 Spring (scheduled), 2025 Spring (scheduled)

Course Prerequisite: CHE 3473 Chemical Engineering Thermodynamics, CHE 3723 - Numerical Methods for Engineering Computation, MATH 3113 Introduction to Ordinary Differential Equations
Course Description: Fundamentals of rates, homogeneous isothermal reactions, non-isothermal reactions, reactors and design, heterogeneous reactions, fixed and fluidized bed reactors, experimental data reduction, non-ideal flow reaction systems.


CHE 5113 Data Science for Engineers

2023 Fall, 2025 Fall (scheduled)

Course Prerequisite: Graduate standing, or instructor permission
Course Description: This course provides an overview of data science techniques for chemical engineers. The course will broadly cover a variety of advances in data collection, data storage, visualization, and introduces a broad array of machine learning techniques (e.g., supervised, unsupervised, etc.) and applications (e.g., regression, dimensionality reduction, classification) to chemical data sets with a focus on practical examples in chemical engineering. Good programming practices are discussed. Students will need to be comfortable with scientific programming using Python.


CHE 5063 Sustainable Energy Applications

2023 Spring, 2024 Fall (scheduled)

Course Prerequisite: Graduate standing, or instructor permission
Course Description: This course presents the fundamental concepts of thermal-, electro-, and photo-catalysis and then builds on that knowledge to cover important sustainable energy conversion applications. Topics to be covered include fuel cells, water electrolyzers, CO2 conversion to valuable fuels and chemicals, ammonia synthesis, batteries, and other state-of-the-art technologies.