302277 (v.1) Spatial Computations 582
| Area: | Department of Spatial Sciences |
| Credits: | 25.0 |
| Contact Hours: | 5.0 |
| Lecture: | 1 x 2 Hours Weekly |
| Other: | 1 x 1 Hours Weekly |
| Tutorial: | 1 x 2 Hours Weekly |
| Prerequisite(s): | 306454 (v.1) Spatial Computations 581 or any previous version
|
| Other Requisite(s): | Admission: to the Graduate Diploma program.
|
| Syllabus: | Further development of spatial data problem solving approaches. Design, implementation and analysis of data structures and algorithms for spatial data processing. Advanced spatial computations and object-oriented solutions. |
| |
| Unit Outcomes: | Upon completion of this unit students will have - Developed enhanced problem-solving skills, designed and implemented advanced spatial algorithms and developed knowledge of the complexity and analysis of spatial algorithms and of data structures and algorithms that are foundational to geographic information systems. |
| Text and references listed above are for your information only and current as of September 30, 2003. Please check with the unit coordinator for up-to-date information. |
| Unit References: | De Berg M, (Ed), Van Kreveld M, Overmars M and Schwarzkopf O., (2000), Computational Geometry - Algorithms and Applications, Berlin, Springer-Verlag. Campione M, Walrath K and Huml A., (2001), The Java Tutorial - A short Course on the Basics, 3rd ed, SunMicrosystems. Van Kreveld M, Nievergelt J, Roos T and Widmayer P, (Eds)., (2000), Algorithmic Foundations of Geographic Information Systems, Berlin, Springer-Verlag. |
| Unit Texts: | Waite M and Lafore R., (1998), Data Structures and Algorithms in Java, Waite Group Pr. |
| |
| Unit Assessment Breakdown: | Assignments 25%, Examination 50%, Test 25%. This is by grade/mark assessment. |
| Year | Location | Period | Internal | Area External | Central External | | 2004 | Bentley Campus | Semester 2 | Y | Y | Y | |
Current as of: February 2, 2004
CRICOS provider code 00301J
