Professor Korak’s research interests are broadly focused on water treatment engineering spanning municipal drinking water, water reuse and industrial waste management. Her recent projects include developing holistic water treatment and waste brine management processes for ion exchange systems and evaluating corrosion of drinking water distribution systems. Her research also focuses on using optical sensing techniques to characterize dissolved organic matter (DOM) fate and transport in drinking water treatment processes.
CVEN 4464 - Environmental Engineering Processes
Primary Instructor
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Fall 2018 / Fall 2019 / Fall 2020 / Fall 2021
Develops and utilizes analytic solutions for environmental process models that can be used in a) reactor design for processes used in the treatment of water, wastewater and hazardous waste and b) process analysis of natural systems, such as streams and groundwater flow. Models facilitate the tracking of contaminants in engineered and natural systems. Same as CVEN 5464 and EVEN 4464.
CVEN 5834 - Special Topics
Primary Instructor
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Spring 2019 / Spring 2020 / Spring 2021
May be repeated up to 9 total credit hours.
ENVS 5930 - Internship
Primary Instructor
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Spring 2022
Provides academically supervised opportunities for environmental studies majors to work in public and private organizations on projects related to the students' research and career goals, and to relate classroom theory to practice.
EVEN 4464 - Environmental Engineering Processes
Primary Instructor
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Fall 2018 / Fall 2019 / Fall 2020 / Fall 2021
Develops and utilizes analytic solutions for environmental process models that can be used in a) reactor design for processes used in the treatment of water, wastewater and hazardous waste and b) process analysis of natural systems, such as streams and groundwater flow. Models facilitate the tracking of contaminants in engineered and natural systems. Same as CVEN 4464 and CVEN 5464.
EVEN 5444 - Analytical Methods, Experimental Design, and Applied Data Analysis
Primary Instructor
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Spring 2022
Focuses on experimental design and applied statistical methods for data analysis in the environmental engineering field. Students learn how to design and interpret experiments considering multiple variables, avoid confounding effects, and identify interactions between variables. Statistical tools are applied to analytical methods to validate environmental analytical samples. Students learn how to decipher analytical methods to ensure that environmental samples are collected and analyzed following robust quality assurance/quality control procedures. Recommended prerequisite: an undergraduate statistics course.
EVEN 6950 - Master's Thesis
Primary Instructor
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Spring 2020 / Summer 2020 / Fall 2020 / Spring 2021 / Fall 2021 / Spring 2022
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