2018/2019, Semester 2
Non-Faculty-Based Departments (Institute Of Systems Science)
Modular Credits: 3
Globally, there are strong initiatives which aim to harness data and analytics to build solutions with smart features for operational intelligence and decision making. Geospatial analytics is capable to detect expected and discover unexpected insights - spatial relationship, and transform the complex relationship into understandable visual map and actionable decision. Important components for geospatial analytics includes geospatial data, geospatial analysis, and geovisualisation. It is implemented using emerging trends and cutting edge technologies in geospatial information system and technology domain. It complements existing MTech EBAC courses by developing practical know-how in geospatial data management, geospatial analytics and geospatial visualisation for actionable business insights and decision making.
There are no hard prerequisites in terms of existing courses, but it would be desirable for students to have some interest in data mining.
Workload Components : A-B-C-D-E
A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of lab hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week