Advanced GIS

Course Description

GIS and Spatial analysis offer a unique and insightful perspective on our world, serving as a distinctive lens through which we explore events, patterns, and processes that unfold on or near the Earth's surface. At its core, spatial analysis resides at the crossroads of human insight and computational power, combining the art of interpretation with the precision of spatial data analysis, modeling, machine learning, deep learning, and AI. This fusion of human expertise with advanced technologies is pivotal in shaping decision-making processes, enabling us to unravel complex spatial phenomena and make informed choices that drive progress and innovation. This course is designed to immerse professionals in training in a rich learning experience, blending lab sessions with hands-on activities and engaging lectures and discussions through a holistic approach. The course not only covers spatial data science but also delves into the intricate realms of machine learning, deep learning, and AI. Participants will gain the knowledge and skills needed to apply these cutting-edge technologies to spatial analyses and decision-making processes. Throughout the course, the emphasis is on practical, real-world applications, including topics such as modeling, suitability analysis, pattern detection, deep learning, neural networks, dynamic visualization, and the nuanced examination of complex spatial datasets. This ensures that students are well-equipped with various quantitative methods, from descriptive to geostatistical methodologies. Finally, decision-making methods and visualization techniques are embedded to ensure we equip students with the practical skills to effectively interpret and communicate complex spatial data. These skills help bridge the gap between data analysis and real-world applications, fostering a deeper understanding of spatial relationships and their impact on decision outcomes. GIS for International Applications is a prerequisite to enroll, and the class is limited to a maximum of 24 students. For more information, visit: https://bit.ly/3u2xki8

Basic Enrollment Requirements: Unofficial Transcript - Bachelor's + 3.0 GPA. 

Refund Policy:?The refund policy for Courses at Tufts offerings is dependent on the course length. Please refer to the section details to confirm any exceptions to the standard refund policy. The refund policies are viewable here:?https://universitycollege.tufts.edu/policies#Refunds 

Remission Eligible: Yes; all university policies apply.