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Drummond in Fall 2026. The course trains students to confront climate change challenges through data science and geospatial analytics using R and specialized R-based packages, without requiring prior R experience. It focuses on answering key questions about causes, impacts, and solutions, while referencing climate model outputs and enabling data import, formatting, analysis, visualization, and mapping. 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Drummond Fall 2026  \nCourse Syllabus  \nWilliam J. Drummond  \n204 East Architecture Phone: 404-894-9840  \nEmail: [bill.drummond@design.gatech.edu](bill.drummond@design.gatech.edu)  \n[Office hours: Wednesday 10:30](Office hours: Wednesday 10:30) – 12:00  \nCourse Description  \nThis is a course for students who want to confront the global problem of climate change using powerful, recently-developed tools from the fields of data science and geospatial analytics. The course’s primary software environment is the R language and a suite of specialized R-based packages, but previous knowledge of R is not required or assumed.  \nClimate change analytics is especially challenging because the time horizons addressed can extend backward and forward for centuries, and any analysis of future climate change must deal with a broad range of unknowns while still applying scientific rigor. In addition, the rapid pace of climate change means that the past conditions are no longer a reliable guide for predicting future conditions. Instead, we must be guided by the output of climate models when we decide what actions we must take today to try to forestall or adapt to the worst effects of climate change in the future.  \nThe course will address the major ways in which data analytics can help answer three major questions:  \n• What are the primary causes of climate change?  \n• What are the major impacts of climate change?  \n• What are the available solutions for climate change?  \nThe course will, at many points, touch on climate change policy. However, climate change data and analysis methods, not policy, are the major foci of the course. Students who are also interested in climate change policy should consider these courses:  \n• CP 4190/6190: Introduction to Climate Change Planning  \n• CP 6217: Climate Change and the City  \n• PubP 6360: Sustainable Energy and Environmental Management  \n• PubP 6354: Climate Policy  \n• PubP 6701: Energy Technology and Policy  \nLearning Objectives  \nStudents successfully completing this course will be able to:  \n• Create R scripts to import and format a variety of data related to climate change  \n• Utilize R to analyze climate change data to generate useful information  \n• Import and format relevant vector climate change spatial data  \n• Import and format relevant raster climate change spatial data  \n• Visualize climate change data through charting and mapping  \nTeaching Methods  \nThe teaching methods for this class include a wide variety of methods, including lectures, inclass labs, class discussions, homework, required readings, LinkedInLearning videos, two tests, a final exam, and a series of small-scale projects. Students are expected to attend all classes. See below in the Grading section for class attendance details.  \nCourse Materials  \nThere are no required textbooks for this course. Additional materials or links to those materials will be posted on Canvas.  \nCourse Software  \nThe primary software environment will be the open-source R package and RStudio, supplemented with specialized R libraries for data wrangling and spatial analysis. However, prior experience with R or any other programming language is not a course pre-requisite. Students may use College of Design virtual machines with R, RStudio, and a pre-installed set of R libraries. But R, RStudio, and the necessary R libraries are all open-source software that students may download and install on personal computers.  \nGrading  \nSee the Georgia Tech Student-Faculty Expectations Agreement in the Georgia Tech catalog for Institute-wide expectations for both students and faculty.  \nThe Georgia Tech Honor Code is in effect throughout this course. You should review this code and make sure you understand your responsibilities. If you have any questions, please contact the instructor.  \nThe two tests and final exam will take place during the designated classes and the GT-defined final exam period. Except in t","cbCaidzYhgA1VryH","https://ap.wps.com/l/cbCaidzYhgA1VryH","pdf",465250,"English","# Course Description\n## Learning Objectives\n## Teaching Methods\n## Course Materials\n## Course Software\n## Grading","[{\"question\":\"What software environment does the course use?\",\"answer\":\"The primary environment is the R language and RStudio, supported by specialized R libraries for data wrangling and spatial analysis.\"},{\"question\":\"Is prior R experience required?\",\"answer\":\"No. Previous knowledge of R is not required or assumed, and students may use pre-installed tools via College of Design virtual machines.\"},{\"question\":\"How is student performance assessed?\",\"answer\":\"Grades include class attendance, Test 1, Test 2, a final exam, and three small-scale projects (with specified percentage weights).\"},{\"question\":\"What are the course attendance rules?\",\"answer\":\"Students are expected to attend all classes. The policy allows four absences; a fifth reduces class participation by 2.5 points, and a sixth removes all 5 points starting from week 2, with exceptions for official activities.\"}]","Climate Change Analytics - Course Syllabus | PDF",1790415674,15]