Course Advanced GIS in Health Sciences

ECTS: 5

Course leader: Jibran Khan

Language: English

Graduate school: Faculty of Health

Graduate program: PH

Course fee: 6,000.00 DKK

Status: Course is open for application

Semester: Fall 2024

Application deadline: 23/09/2024

Cancellation deadline: 07/10/2024

Start date: 21/10/2024

Administrator: Anne Fabricius

Special course prerequisite

Please note, that all who has not yet passed P272 GIS in Health Sciences will be placed on the waiting list. You must solemnly declare if you have passed P272 GIS in Health Sciences, or not. If you have registered for P272 GIS in Health Sciences please write this in the comment box.

The course P324/01 Advanced GIS in Health Sciences is being offered by the Graduate School of Health, Aarhus University, 2024.

Criteria for participation:
University degree in medicine, dentistry, nursing, or Master’s degree in other fields and/or postgraduate research fellows (PhD students and research-year medical students).

Requirements for participation:
This advanced GIS course is for those who have already taken, AU Health’s Basic GIS course, P272 GIS in Health Sciences, or a relevant course, and wish to gain deeper knowledge and understanding.

Please note, that all who has not yet passed P272 GIS in Health Sciences will be placed on the waiting list. You must solemnly declare if you have passed P272 GIS in Health Sciences, or not. If you have registered for P272 GIS in Health Sciences please write this in the comment box.

Aim:
The course aims to

  • Provide theoretical background of advanced spatial modelling, analyses and visualization
  • Introduce participants to spatial programming
  • Give participants hands-on experience in advanced spatial analyses and programming with focus on health-related exercises

Learning outcomes:
Knowledge and understanding

 On completion of the course, the student should be able to:

  • Understand and explain the basic methodologies and conceptual models of the contents of a geographic database
  • Explain the different geographical data formats
  • Explain the principles of transformation between different geodesic reference system
  • Explain concepts and estimation methods within advanced spatial analysis and modelling
  • Account for auto-correlation in geographic data

Ability and skills

  • Visualize the geographic data using advanced 2D and 3D mapping tools
  • Carry out advanced interpolation with geographic data
  • Carry out and present advanced statistical analysis of interpolated spatial data
  • Perform spatial auto-correlation analysis with geographic data
  • Create a spatial database, import, export data and query data from it
  • Create programming scripts spatial GIS analysis

Workload:
The full workload of the course is expected to be 50 hours.

Content: 
The course consists of a number of modules with advanced concepts in methods of analysis and presentation of geographical information and constructing databases.

The course includes the following topics:

  • A recap of basic GIS analysis
  • Data collection and format
  • Advanced visualization (QGIS, ArcGIS and R/Python)
  • Advanced spatial interpolation and spatial modelling
  • Spatial autocorrelation
  • Database development (spatial SQL)
  • Spatial programming (R/Python and spatial SQL)

Hands-on exercises (computer labs) on spatial interpolation, modelling, database development and spatial programming

Instructors:
Course Lead and Responsible: Assistant Professor Jibran Khan, Department of Environmental Science, Aarhus University, Roskilde. 
Co-lecturer: Assistant Professor Jörg Schullehner, Department of Public Health, Aarhus University, Aarhus

Venue: Department of Public Health, Aarhus University, Aarhus

Participation in the course is without cost for:

Course dates:

  • 21 October 2024 09:00 - 16:00
  • 22 October 2024 09:00 - 16:00
  • 23 October 2024 09:00 - 16:00
  • 24 October 2024 09:00 - 16:00
  • 25 October 2024 09:00 - 16:00