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Courses offered in Fall 2015

CE408 - Geographic Information Systems for Engineering (Fall)

The overall objective of this course is to further strengthen the knowledge on GIS and introduce digital mapping based on previous knowledge on surveying and mapping, and GIS. Particularly, the successful completion of this course will enable students


·        comprehend knowledge of geographic data

·        integrate data collected from different sources

·        use popular GIS software to design and produce maps

·        use popular GIS software to conduct GIS analyses


CE597 - Geospatial Modeling and Analysis (Fall)

A.     Scope and objectives

The course intends to enhance students’ fundamental knowledge and advanced skills in geospatial science and technology. It will be focused on quantitatively exploring and evaluating the patterns of both physical and social phenomena in spatial and temporal domains.  Students will learn the analytics needed for mining and interpreting geospatial data of various forms and practice such analytics through designed course projects. Besides, the course will provide each student an opportunity to apply the course content to a topic area of their own interest. By successfully completing the course, students should be able to


1)      understand the theories and context of spatial modeling and analysis

2)      choose proper geospatial analysis methods and practice them

3)      model and interpret geospatial patterns

4)      be familiar with popular geospatial analysis tools

B.     Prerequisites

1)      an introductory GIS course, preferably at graduate level

2)      graduate status

3)      being familiar with ArcGIS and its extensions

4)      having experience in programming

5)      or under consent of the instructor

C.     Contents

                 I.      Theoretic aspects

1) Spatial relationships                                  2) Point clustering and pattern analysis

3) Proximity mapping and analysis              4) Spatial tessellation

5) Surface interpolation and modeling        6) Spatial dependence and autocorrelation

7) Spatial regression                                       8) Spatial-temporal distribution and process

               II.      Application aspects

1) Geoinformatics and Earth science             2) Geography and anthropology 

3) Environmental and hydrographic sciences 4) Social network and human mobility

5) Transportation and construction                              6) Natural resource management

7) Public health and disaster management

              III.      Tool aspects

1)      ArcGIS and its extensions

2)      ArcGIS development with ModelBuilder and Python scripts

3)      Open source statistics tool R

4)      Matlab

              IV.      Data aspects: open source or publically available geographic data, including

imagery, digital elevation model, roads, administration, demography, disaster, agriculture, land cover etc.

D.     Venue and Time

·        HAMP 1113

·        4:30-5:20pm, MWF, Fall 2015

Courses offered in Spring 2015

Geographic Information Systems (CE 597, Spring)

Note: This course is offered in EVEN years for off-campus students. Off-campus students should visit for registration.  It is offered every year for on-campus students.


It covers basic GIS theory and practices as well as advanced topics for enhancement. ArcGIS and its extensions will be discussed in depth and used extensively. The course will address the following topics:



Download Course flyer here.


Previous courses

Geomatics Engineering Seminar (CE691M)

·        Fall 2009, 1:30pm, Thursdays, CIVL 2107, link to the course.

·        Spring 2008, 1:30pm, Wednesday, CIVL 3153.    Click here for details.

·        Fall 2006,  check here for details .  Updated every Wednesday afternoon.


Remote Sensing Course   Urban Remote Sensing (CE497, Spring)

·       Earth Observation Systems

·       Electromagnetic radiation

·       Platforms and sensors

·       Representative systems

·       Image processing

·       Image correction

·       Image enhancement

·       Image classification

·       Image fusion

·       Example applications

·       Land cover mapping

·       Disaster mapping

·       Urban mapping

·       Urban sprawl modeling

Download the course flyer here (pdf, with graphics)