GIS 101/ ENV 107/ INTR 81: Introduction to Geographic Information Systems – Fall 2019 / Spring 2020
UEP 0232: Intro to GIS- GIS for Urban Analysis  – Fall 2019 / Spring 2020/ Summer 2020
MCM 591: GIS for Conservation Medicine – Fall 2019
CEE 187: Geographic Information Systems – Fall 2019
Fletcher DHP P207: GIS for International Applications – Fall 2019 / Spring 2020
Nutr 231: Fundamentals of GIS for Food, Agriculture, and Environmental Applications – Fall 2019 / Spring 2020
PH 0262: GIS for Public Health – Spring 2020
EOS 104: Geological Applications of GIS – Spring 2018
CEE 189: Introduction to Remote Sensing – Spring 2020
UEP 29422: Advanced Geospatial Modeling– Fall 2019
GIS 102 / Env 197: Advanced Geospatial Modeling – Spring 2019
UEP: Spatial Statistics – Spring 2019
UEP 294-28: GIS Boot Camp – Spring 2020
UEP 294-29: Qualitative GIS – Spring 2020



GIS 101/ ENV 107/ INTR 81: Introduction to Geographic Information Systems
Fall 2019 / Spring 2020
Instructor: Rebecca Shakespeare (fall 2019 & spring 2020), Dr. Alexandra Thorn (spring 2020)

Broad foundation of Geographic Information Systems theory, capabilities, technology, and applications. Topics include GIS data discovery, data structure and management; principles of cartographic visualization; and basic spatial analysis and modeling. Assignments concentrate on applying concepts covered in lectures and class exercises to term projects in each student’s fields of interest.

UEP 0232 Intro to GIS: GIS for Urban Analysis
Fall 2019 / Spring 2020
Instructor: Dr. Sumeeta Srinivasan
Email: Sumeeta.Srinivasan@tufts.edu

This course will focus on introducing students to the use of geographic information systems in the urban/suburban/metropolitan environment. Students will learn to work with urban spatial databases (including data sets pertaining to land use/land cover, parcel records, census demographics, environmental issues, water, transportation, local government, community development, and businesses). Technical topics to be covered include finding and understanding sources of information for metropolitan spatial databases, integration of data from a variety of sources, database structure and design issues, spatial analysis capabilities, data quality and data documentation. While learning GIS skills, participants will complete a mapping/analysis project of their choosing. Prerequisite: None. Course Syllabus

MCM 591: GIS for Conservation Medicine
Offered Fall 2019
Instructor: Carolyn Talmadge
Email: Carolyn.Talmadge@tufts.edu

This course will introduce students to the fundamental concepts of the Geographic Information Systems (GIS) as it relates to the one health paradigm and veterinary health. This course is designed for novice GIS students with specific focus on mapping and spatial analysis for human, animal, and environmental health applications. Tutorials include vulnerability analyses of animal habitats, monitoring disease outbreaks for public health, calculating deforestation and land cover change, suitability analysis for Ebola treatment centers in Liberia, site analysis for alternative energy sources, and many more. Technical topics to be covered include GIS data discovery; GPS field data collection; data structure and management; principles of cartographic visualization and design; and basic spatial tools, analysis and modeling. Classes will consist of both a lecture segment and an in-class activity/demonstration. Students will complete weekly tutorials or project assignments and conclude the semester with a final mapping/analysis project of their choosing. This course is open to all students and faculty from the Veterinary School.

CEE 187: Geographic Information Systems
Offered: Fall 2019
Instructor: Dr. Laurie Gaskins Baise
Email: Laurie.Baise@tufts.edu

Spatial analysis with Geographic Information Systems (GIS), including their use for engineering applications. GIS data structure and management, techniques for spatial analysis. Applications including seismic hazard, water resources, and environmental health. Laboratory exercises in GIS. Prerequisites: ES 56.

Fletcher DHP P207: GIS for International Applications
Fall 2019 / Spring 2020
Instructor: Patrick Florance
Email: Patrick.Florance@tufts.edu

This course will introduce students to the use of geospatial technologies, data and analysis focusing on applications in the international context. The course gives primary emphasis to the use of geographic information systems (GIS) for data creation, mapping, and analysis. It will also cover the use of global positioning systems (GPS) for field data collection and mapping; cartography for high quality visualization of conditions, issues, and analysis results in a given locale; and the use of map mash-ups and crowd sourcing in the international arena

Nutr 231: Fundamentals of GIS for Food, Agriculture, and Environmental Applications
Offered Fall 2019 / Spring 2020
Instructor: TBD

This is a full credit course that introduces Geographic Information Systems (GIS) to address the many problems of agriculture, food systems, and the environment. This course will provide students with the fundamentals to begin using GIS in research and applied projects. The primary purpose of this course is to provide students with sufficient understanding of GIS science and software programs to be able to conduct a simple project independently.

PH 0262: GIS for Public Health
Offered Spring 2020
Instructor: Dr. Thomas Stopka
Email: Thomas.Stopka@tufts.edu

This half credit course will be taught during the second half of the Spring Semester of 2015. The course, which will include a mix of lectures and labs, will offer public health students the opportunity to learn introductory GIS and spatial analysis concepts and applications. Students with previous coursework in public health and epidemiology are encouraged to apply.  Enrollment will be limited to 25 students.

EOS 104: Geological Applications of GIS
Not Currently Offered

This is a half credit course that covers the basic functions of the particular GIS program ESRI ArcGIS with a particular focus on geological applications. Assignments are derived from the textbook “Getting to Know ArcGIS” tutorials, and tailor made geologic tutorials. The geologic tutorials are designed for upper level geology majors who are familiar with the concepts and methods involved in geologic interpretation. Prerequisite: Declared geology major, Geo 1 and 2, at least two courses above Geo 9, and consent.

CEE 189: Introduction to Remote Sensing
Offered Spring 2020
Instructor: Magaly Koch
Email: Magaly.Koch@tufts.edu

This course introduces students to the use of satellite imagery and other remotely sensed data for urban and environmental analysis. The course will emphasize practical applications of remote sensing for understanding human-environment dynamics. Students will get a thorough overview of remote sensing data sources and understand which sources are appropriate for which applications. Lectures and labs will cover the workflow of processing sensing data for environmental analysis, starting with data acquisition and moving on to image georeferencing, image enhancement and filtering, image classification and basic image analysis.

GIS 102 / Env 197 Advanced Geospatial Modeling 
Spring 2020
Instructor: Dr. Sumeeta Srinivasan
Email: Sumeeta.Srinivasan@tufts.edu

Design and use of spatial information systems to support analytical modeling in research and geospatial processing for professional development, research, and practice. Topics include the structure and integration of large data sets, relational database management, development of spatial data, integration of data into models and geoprocessing techniques, and basic scripting to support geospatial modeling. Prerequisites: GIS 101, UEP 232 or equivalent.

UEP 29422/ ENV 197: Advanced Geospatial Modeling
Fall 2019
Instructor: Dr. Sumeeta Srinivasan
Email: Sumeeta.Srinivasan@tufts.edu

Design and use of spatial information systems to support analytical modeling in research and geospatial processing for professional development, research, and practice. Topics include the structure and integration of large data sets, relational database management, development of spatial data, integration of data into models and geoprocessing techniques, and basic scripting to support geospatial modeling. Prerequisites: GIS 101, UEP 232 or equivalent.

UEP29415: Spatial Statistics
Spring 2020
Instructor: Dr. Sumeeta Srinivasan
Email: Sumeeta.Srinivasan@tufts.edu

This is a first course on spatial data analysis. Students will learn about global and local spatial autocorrelation statistics, cluster analysis, principal component analysis, point patterns, interpolation, hotspot analysis and space time analysis. They will also learn to use a variety of regression techniques for spatial data including spatial, autologistic and geographically weighted regressions. Several open source software will be introduced: Geoda, CrimeStat, SAM, CAST and R. The course will have weekly lab exercises and a final project based on the student interests. Prerequisite: Introduction to Statistics or equivalent.

UEP 294-28: GIS Boot Camp 
Spring 2020
Instructor: Dr. Rebecca Shakespeare
Email: Rebecca.Shakespeare@tufts.edu

Accelerated introduction to the mechanics of spatial analysis, cartography, and applications in ArcGIS. Laboratory modules and hands-on practice applying GIS techniques, including basic introduction to spatial data management and geodesy. Students will be prepared to continue into Qualitative GIS, create maps, and complete basic GIS analyses independently. Note: This class alone is not equivalent to 1-semester introduction to GIS

UEP 294-29: Qualitative GIS
Spring 2020
Instructor: Dr. Rebecca Shakespeare
Email: Rebecca.Shakespeare@tufts.edu

Mixed-method, critical, and qualitative approaches and applications of GIS will be considered through readings, seminar discussions, and applied laboratory activities. Topics include participatory GIS, critical GIS, sketch-mapping, and augmenting qualitative analysis with GIS approaches.  Note: prerequisite 1-semester Introduction to GIS or GIS Bootcamp; GIS Bootcamp + Qualitative GIS = 1 semester Introduction to GIS.

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