Below are courses taught by Dr. Kaiser:

Undergraduate level:

CEE 2812: Exploring Civil and Environmental Engineering

  • Prerequisites: None
  • Description: This course is designed to provide first year CEE students an introduction to the School of CEE at Georgia Tech, and to the field as a whole. The role of civil and environmental engineers in society is discussed through the themes of “smart cities”, “resilient infrastructure”, “healthy communities”, and “sustainable systems”.
  • Objectives: Upon completion of this course, the student should have a better understanding of the field of CEE. The student will be more familiar with the common language, tools, and critical thinking skills needed to address pressing societal issues.
  • Syllabus (Fall ’23)

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.
  •  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.
  • Syllabus (Fall ’23)

EAS 4740: Atmospheric Chemistry

  • Prerequisites: CHEM 1310 or 3411, EAS 3603, MATH 2551, and PHYS 2211
  • Description: This course provides a general chemical description of the Earth’s atmospheric system with a major focus on the two lowest layers of the atmosphere.
  • Objectives: Upon completion of the course, students should have an understanding of atmospheric chemical kinetics, simple models, and the processes that drive secondary pollutant formation
  • Syllabus (Spring ’23)

Graduate level:

CEE 6314: Fundamentals of Environmental Modeling and Mathematics

  • Prerequisites: None
  • Description:  This course is intended to introduce students from a range of academic backgrounds to the fundamentals needed to develop and apply environmental models. Topics covered include a review of mathematical methods, environmental models of chemical equilibrium and kinetics, intermedia pollutant transfer, compartment models, first principles transport models, observation-based models (including time-series analysis), numerical methods and analytical methods.
  • Objectives: Students in this course will improve their ability to build, apply, and evaluate numerical models for a range of environmental systems, including their system of interest.
  • Syllabus (Spring ’23)

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.
  • Syllabus (Spring ’20)

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.
  • Syllabus (Spring ’21)