Below are courses taught by Dr. Kaiser:
CEE 4330: Air Pollution Engineering
Prerequisites: CHEM 1310, PHYS 2211
Description: Introduction to the physical and chemical processes affecting the dynamics and fate of air pollutants at the local, regional, and global scales. Particular emphasis is on tropospheric pollutant chemistry and transport.
Objectives: The course is designed to introduce students to fundamental principles needed to address air pollution engineering. Upon completion of this course, the student should have knowledge of the air pollutants of most concern, their source and control, their atmospheric transport and fate, and policies developed to help manage the problem.
Syllabus (Fall ’19). In Fall ’19, as part of the EPA EmPOWER Air Data Challenge, students participated in an additional project to provide additional experiences with real-world data processing and nontechnical communication.
EAS 6430/CEE 8823: Experimental Methods in Air Quality
Prerequisites: None
Description: Introduction to experimental and field methods with a focus on measurements of atmospheric gases and particulates associated with poor air quality.
Objectives: Upon completion of this course, the student should have knowledge of the theory behind commonly used and research grade atmospheric instrumentation, as well as practical lab/field skills and data analysis.
CEE 8813: Remote Sensing of Atmospheric Composition
Prerequisites: Students are expected to have a basic understanding of atmospheric composition and air pollution.
Description: This course is designed to introduce students to the fundamentals of remote sensing of atmospheric composition and recent advances in earth science products. Students will complete a series of projects using satellite data to explore the response of atmospheric composition to specific events and general trends in the earth system.
Objectives: Upon completion of this class, students will have: gained a basic understanding of remote sensing strategies, developed programming and data manipulation skills needed for visualizing satellite-based observations, acquired analytical skills for interpreting these measurements in the context of their uncertainty, and gained experience applying the datasets to explore short-term and long-term changes in atmospheric composition.