At the end of the module students will be able to identify data sharing, standards and policies, to develop geospatial data infrastructure and maintain geospatial data infrastructure. In short, students completing this course should be able to explain, apply, and critically evaluate SDI concepts and tools for solving real-world spatial data challenges.

This module aims to provide the skills, knowledge, and attitude required to Apply Python Programming to Geospatial data. It Describes Python Fundamentals, Python data structure, Connect Python to Geospatial database, and Apply Python to remote sensing data.

This module is designed to provide undergraduate students with the essential knowledge and skills necessary for conducting effective research. It comprehensively addresses the entire research process, from problem formulation through data collection, analysis and writing an academic reports, laying a solid foundation for their independent research projects. By the end of this module, students will be well-equipped to navigate the complexities of research and apply their learning to real-world research endeavors.