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CASE STUDIES IN DATA SCIENCE & ANALYTICS

Module code: NCG612
Credits: 5
Semester: 2
Department: NATIONAL CENTRE FOR GEOCOMPUTI
International:
Coordinator: Prof. Christopher Brunsdon (GEOGRAPHY)

	Overview
	The techniques to be covered in this module are: programming in Python, methods for spatial prediction, network analysis, spatial interaction, spatial patterns, models for raster data, cellular automata and simulation techniques.

	Learning Outcomes
	On successful completion of the module, students should be able to: implement data analytics techniques on data from a broad range of fields,

Teaching & Learning methods

Assessment

	Autumn Supplementals/Resits
	Are supplemental/resit registrations permitted? Yes Is Supplemental Continuous Assessment registration permitted? Yes Is Supplemental Continuous Assessment capped? No

Timetable

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