The Indian Institute of Technology (IIT) Roorkee is offering a free online course on GNSS and Applications on the NPTEL platform. The four-week course will provide a basic understanding about digital elevation models (DEMs) and their applications in civil engineering and Earth sciences.
During the course, various DEMs and their sources, generation techniques, derivatives, errors and limitations will be discussed extensively. Surface hydrologic modeling using DEMs, modeling derivatives and their applications will also be discussed.
Intended audience. Under- and post-graduate engineering and post-graduate science students and faculty.
Pre-requisites. Current students of engineering, post-graduate science students and Ph.D. students should have basic knowledge of geographic information systems (GIS) and remote sensing.
Industry support. Geoinformatics companies (such as NIIT, Esri India, Leica Geoinformatics, MapmyIndia, ISRO and more).
The course will be taught by Arun K. Saraf, professor in the Department of Earth Sciences at IIT Roorkee. He teaches courses on remote sensing, digital image processing, GIS, advanced GIS, geomorphology and related topics to undergraduate and postgraduate students of Geological Technology and Applied Geology. He has a Ph.D. in remote sensing from the University of Dundee, United Kingdom.
The course takes place July 26-August 20. Registration is open until August 2 and can be done through the SWAYAM platform.
Course takes learners on a deep dive into concepts and applications
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Esri will offer a new massive open online course (MOOC) on spatial data science early this year. The no-cost course, which will run for six weeks on Esri’s Training website, includes full access to ArcGIS Pro, ArcGIS Online and ArcGIS Notebooks software.
Spatial Data Science: The New Frontier in Analytics opens on Feb. 26 and provides a comprehensive introduction to how incorporating location enhances traditional data science workflows.
“Spatial data science builds on foundational data science techniques and adds the spatial perspective that really makes a huge difference in the outcomes of an analysis,” said Lauren Bennett, software development lead on Esri’s spatial analysis and data science team.
The course includes video presentations by Esri experts, discussion forums, and hands-on software exercises. Participants will discover how including spatial data and spatial analysis tools and techniques can dramatically improve predictive modeling, uncover previously hidden patterns, and solve problems.
“At its core, spatial data science is about solving problems,” Bennett continued, “using spatial algorithms, taking the latest and greatest techniques (statistics, machine learning, deep learning) and all the tried and true, more traditional techniques to turn data into information.”
Each section of the course will focus on a specific topic and application of spatial data science. From data engineering and visualization to suitability modeling, pattern detection, space-time pattern mining, and object detection with deep learning, participants will explore a wide range of scenarios using realistic data and powerful ArcGIS tools.
While many practitioners emphasize craft when sharing results, course authors champion the notion that successful analysts and data scientists must be able to effectively communicate the impact of their work with leaders and colleagues. For this reason, the final section of the course will explore the use of ArcGIS StoryMaps to craft visually appealing and information-rich narratives that resonate.
Spatial Data Science: The New Frontier in Analytics is open to learners worldwide. All that’s needed to attend is an Esri account, which is free and easy to create at accounts.esri.com.
Participants with a background in statistics, data science and Python are encouraged to attend, but anyone interested in exploring technology hot topics and learning the latest analytical capabilities of ArcGIS software will benefit as well. A certificate of completion will be awarded to all participants who finish the course.
The U.S. Cluster Mapping website provides research in clusters combined with 52+ economic indicators, forming an online, open-data, open-source platform that allows users to make more informed decisions about economic development, both in the United States and abroad.
The website is evolving to serve as the national portal to track cluster-led economic development efforts, identify best practices, and spread new data and insights. The interactive webinar will walk participants through use the tool and show how best to use it.
The U.S. Cluster Mapping Project is a national economic initiative that is led by Harvard Business School’s Institute for Strategy and Competitiveness (ISC) in partnership with the U.S. Department of Commerce and U.S. Economic Development Administration. Directed by Michael Porter, the ISC studies competition and its implications for company strategy; the competitiveness of nations, states, and regions; and solutions to social needs such as health care, innovation, and corporate responsibility.
Speakers include Sarah Jane Maxted, the U.S. Cluster Mapping Project manager at ISC focusing on clusters and regional economic growth, and Christian Ketels, ISC principal associate and research team leader.
