The Department’s programme of courses for graduate research students can be accessed by clicking on this link<\/a>. Each course listed on the programme should normally run at least once every two years. The list of courses and\/or their scheduling may be updated from time-to-time. The Department will release information on the final scheduling of courses just before the start of each academic year.<\/p>\n This course challenges students to analyse the practical problems encountered in using the various methods available in human geography research. It builds upon the undergraduate course in research methods and includes an evaluation of the construction and design of research questions in various field contexts, weighing between the major methods of data collection (e.g. quantitative and qualitative), and the practical problems of data and information analysis. Common research methods such as surveys, case studies, interviews, focus group discussions and participant observation will be carried out so that students can benefit from first hand experience in the field. Students will also be exposed to archival and map materials. Students will also be taught what sponsors look for in research proposals. As the course is entirely project-based, students are expected to have full-scale participation in the course.<\/p>\n <\/p>\n C.A.<\/b>: 100%<\/p>\n C.A.<\/b>: 100%<\/p>\n\t\t\t\t\tGE5227 – Internet GIS<\/a>\n\t\t\t\t\t\t\t\t\t\t\tExpand<\/i><\/a>\n\t\t\t\t\t This course provides state-of-the-art training in Internet GIS technologies and spatial theories for mapping and comprehending activities in virtual space, real space, and the intersections of the two spaces. It sees Internet as an integral part of social life and provides students a venue to explore the implications of the digital transformations brought forth by the Internet. Major topics that will be covered include 1) web-based GIS mapping, 2) Internet of Things, 3) social sensing and social web, and 4) social dynamics of the Internet.<\/p>\n C.A.<\/b>: 100%<\/p>\n\t\t\t\t\tGE5228 – Spatial Big Data and Analytics<\/a>\n\t\t\t\t\t\t\t\t\t\t\tExpand<\/i><\/a>\n\t\t\t\t\t This course provides students with an opportunity to gain hands-on experience in applying geospatial big data analytics to complex spatiotemporal problems that challenges sustainability of our society and environment, including but not limiting to disease outbreaks, traffic patterns, urban dynamics, and environmental changes. Major topics that will be covered include 1) nature of spatial big data, 2) volunteered geographic information, 3) spatial analytical approaches for discovering patterns, 4) data-driven geography, and 5) big data ethics.<\/p>\n <\/p>\n C.A.<\/b>: 100%<\/p>\n\t\t\t\t\tGE5231 – Geospatial Machine Learning<\/a>\n\t\t\t\t\t\t\t\t\t\t\tExpand<\/i><\/a>\n\t\t\t\t\t Focusing on geospatial problems, this course introduces students to machine learning (ML) techniques for analyzing and interpreting spatial data. Students will learn to apply ML methods to spatial issues, emphasizing a solid foundation in ML for spatial analysis. The course covers essential concepts, methodologies, relevant tools (Python libraries), and best practices for implementing ML studies. Building upon this foundation, students will explore real-world ML applications, providing them with a comprehensive understanding of the ML pipeline. This approach equips students with the skills and knowledge to tackle various spatial problems and adapt to emerging challenges in the geospatial field.<\/p>\n <\/p>\n CA<\/strong>: 100%<\/p>\n\t\t\t\t\tGE6211 – Spatial Data Science<\/a>\n\t\t\t\t\t\t\t\t\t\t\tExpand<\/i><\/a>\n\t\t\t\t\t This course familiarizes students with advanced spatial data science techniques and literature in the emerging field of digital geography. Topics examined include spatiotemporal data mining, geospatial simulation, spatial statistics and machine learning techniques, and spatial data quality. Upon completion of the module, students will be expected to be able to apply these spatial data science techniques to their field(s) of interest, and critically assess the analysis outcomes and implications to human everyday life and the physical environment. Students are required to undertake an independent project, and their work will be presented in a seminar format.<\/p>\n C.A.<\/b>: 100%;<\/p>\n\t\t\t\t\tGE6770 – Graduate Research Seminar<\/a>\n\t\t\t\t\t\t\t\t\t\t\tExpand<\/i><\/a>\n\t\t\t\t\t This is a required course for all research Masters and PhD students admitted from AY2004\/2005. The course provides a forum for students and faculty to share their research and to engage one another critically in discussion of their current research projects. The course will include presentations by faculty on research ethics and dissertation writing. Each student is required to present a formal research paper. Active participation in all research presentations is expected. The module may be spread over two semesters and will be graded “Satisfactory\/Unsatisfactory” on the basis of student presentation and participation.<\/p>\n C.A.<\/b>: No C.A.; graded on S\/U<\/p>\n\n","protected":false},"excerpt":{"rendered":" Graduate Courses The Department’s programme of courses for graduate research students can be accessed by clicking on this link. Each course listed on the programme should normally run at least once every two years. The list of courses and\/or their scheduling may be updated from time-to-time. The Department will release information on the final scheduling […]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-381","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/fass.nus.edu.sg\/geog\/wp-json\/wp\/v2\/pages\/381","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fass.nus.edu.sg\/geog\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/fass.nus.edu.sg\/geog\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/fass.nus.edu.sg\/geog\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/fass.nus.edu.sg\/geog\/wp-json\/wp\/v2\/comments?post=381"}],"version-history":[{"count":5,"href":"https:\/\/fass.nus.edu.sg\/geog\/wp-json\/wp\/v2\/pages\/381\/revisions"}],"predecessor-version":[{"id":33865,"href":"https:\/\/fass.nus.edu.sg\/geog\/wp-json\/wp\/v2\/pages\/381\/revisions\/33865"}],"wp:attachment":[{"href":"https:\/\/fass.nus.edu.sg\/geog\/wp-json\/wp\/v2\/media?parent=381"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n\t\t\tSemester 2 – AY2026\/27\t<\/h2>\n\t\t\t\t\tGE5218 – Research Methods in Human Geography<\/a>\n\t\t\t\t\t\t\t\t\t\t\tExpand<\/i><\/a>\n\t\t\t\t\t
DR FEDERICO CUGURULLO
\nDR ALLEN XIAO
\n<\/h4>\nUnits<\/strong>: 4
\nWorkload<\/b>: 3-0-0-4-3
\nPre-requisite(s)\/Preclusion(s)\/Cross-listing(s)<\/b>: Nil\n
\nDR YAN YINGWEI
\n<\/h4>\nUnits<\/strong>: 4
\nWorkload<\/b>: 1-1-3-3-2
\nPre-requisite(s)\/ Preclusion(s)\/Cross-listing(s)<\/b>: Nil\n
\nDR WEI LUO<\/h4>\nUnits<\/strong>: 4
\nWorkload<\/b>: 1-1-3-3-2
\nPre-requisite(s)\/ Preclusion(s)\/Cross-listing(s)<\/b>: Nil\n
\nDR LI HAO<\/h4>\nUnits<\/strong>: 4
\nWorkload<\/b>: 1.5-0-1.5-4-0-3
\nPre-requisite(s)\/ Preclusion(s)\/Cross-listing(s)<\/b>: Nil\n
\nDR BENNY CHIN
\n<\/h4>\nUnits<\/strong>: 4
\nWorkload<\/b>: 1-0-3-4-2
\nPre-requisite(s)<\/b>: GE5223 – Introduction to Applied GIS, or with lecturer’s consent\n
\nASSOC PROFESSOR LIN WEIQIANG
\n<\/h4>\nUnits<\/strong>: 4
\nWorkload<\/b>: 3-0-0-0-7
\nPre-requisite(s)\/Preclusion(s)\/Cross-listing(s)<\/b>: Nil\n
\n