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 of courses just before the start of each academic year.
Semester 2 - AY2024/25
ASSOC PROFESSOR WANG YI-CHEN
Units: 4
Workload: 3-0-0-0-7
Pre-requisite(s)/ Preclusion(s)/Cross-listing(s): Nil
This course aims to guide students in the selection and development of an appropriate MSc thesis topic. The importance of a thorough evaluation of relevant literature to the process of identifying live research problems and of effective project management will be stressed. Students will obtain the necessary training to plan and implement a research thesis and evaluate the various available research approaches. The primary output of this course will be a detailed research proposal, presented in written and oral forms as a prelude to GE6225 Research Thesis.
C.A.: 100%
DR YAN YINGWEI
Units: 4
Workload: 1-1-3-3-2
Pre-requisite(s)/ Preclusion(s)/Cross-listing(s): Nil
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.
C.A.: 100%
DR WEI LUO
Units: 4
Workload: 1-1-3-3-2
Pre-requisite(s)/ Preclusion(s)/Cross-listing(s): Nil
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.
C.A.: 100%
ALL TEACHING STAFF
Units: 4
Workload: Minimum 10 hours per week.
Pre-requisite(s)/ Preclusion(s)/Cross-listing(s): Nil
The level 5000 Independent Study Course is designed to enable a graduate student or small group of graduate students to explore an approved topic relating to their planned area of research. Students should normally expect to meet with their mentor three times over the duration of the course.
A proposal must be drawn up between the student(s) and mentor and approved by the Graduate Coordinator/Deputy Graduate Coordinator before the end of week 3 of the semester. This study proposal must state clearly the obligations of the student, the agreed-upon mode of assessment, the relevance of the chosen topic to his/her studies, and provide a clear guarantee that the assignment is in addition to work envisaged as part of their thesis. A culminating piece or pieces of written work (report and/or essay) is/are required. Where students have worked as a group, members of the group may submit individual pieces of written work or, alternatively, may work collectively on a joint piece of written work, depending on the approved agreement.
C.A.: 100%;
To comprise written work with a length that, under normal circumstances, falls within the range 4000-6000 words (excluding references and any appendices but including tables and figure and table captions) for individual reports or essays, or 6000-8000 words (excluding references and any appendices but including tables and figure and table captions) for a group-based, single (collective) piece of written work.
All CA will be double-marked. Where there is a large and unresolved discrepancy between the marks awarded by the two markers (>10%), work may be evaluated by a third marker.
DR MUHAMMAD NAWAZ
Units: 4
Workload: 1-0-3-4-2
Pre-requisite(s): GE5223 - Introduction to Applied GIS, or with lecturer's consent
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.
C.A.: 100%;
PROFESSOR JAMES D SIDAWAY
Units: 4
Workload: 3-0-0-4-3
Pre-requisite(s)/Preclusion(s)/Cross-listing(s): Nil
This course is an advanced level course in concepts, approaches and methods in political geography. The teaching and learning objectives involve a sophisticated understanding and appreciation of the trajectory, approaches and contents of political geography; A grounding in research methods and concepts in political geography and an appreciation of the relationship of political geography to allied fields both in geography and the wider social sciences and humanities. The major topics to be covered are the modes of thinking in political geography; Contested concepts: power, territory, boundaries, scale and place; Critical geopolitics; States, territory and identity; Geographies of political and social movements and Geographies of environmental politics.
C.A.: 100%
ALL TEACHING STAFF
Units: 4
Workload: Minimum 10 hours per week.
Pre-requisite(s)/Preclusion(s)/Cross-listing(s): Nil
The level 6000 Independent Study Course is designed to enable the student to explore in some depth a topic in Geography that is of relevance to their research interests. Unlike with GE5660, there is no provision for group work with GE6660. Students should normally expect to meet with their mentor three times over the duration of the course.
A proposal must be drawn up between the student(s) and mentor and approved by the Graduate Coordinator/Deputy Graduate Coordinator before the end of week 3 of the semester. This study proposal must state clearly the obligations of the student, the agreed-upon mode of assessment, the relevance of the chosen topic to his/her studies, and provide a clear guarantee that the assignment is in addition to work envisaged as part of their thesis. A culminating piece or pieces of written work (report and/or essay) is/are required.
C.A.: 100%;
To comprise written work with a length that, under normal circumstances, falls within the range 4000-6000 words in total (excluding references and any appendices but including tables and figure and table captions).
All CA will be double-marked. Where there is a large and unresolved discrepancy between the marks awarded by the two markers (>10%), work may be evaluated by a third marker.
PROFESSOR TIM BUNNELL
Units: 4
Workload: 3-0-0-0-7
Pre-requisite(s)/Preclusion(s)/Cross-listing(s): Nil
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.
C.A.: No C.A.; graded on S/U