- Teacher: Simphiwe Wiseman Mdluli
- Teacher: Helen Snethemba Ndlovu
- Teacher: Ngetar Njoya
- Teacher: Perry Rakgoale (211543622)
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GIS & Remote Sensing
ENVS316 H1 P1 W1 (27L-1T-36P-0S-62H-27R-0F-0G-7A-15W-16C)
Prerequisite Modules: 64 Credits from AES at level 2 including ENVS211
Aim: To provide further insight into GIS as a management tool for spatial data.
Content: Spatial data and modelling; attribute data management; analysis of remotely sensed GIS data and its classification; data quality issues; GIS project management and design.
Assessment: Test (20%), practical reports (15%), practical test (15%); 3 h theory exam (50%).
Subminimum: 40% on exam.
DP Requirement: Not applicable
Students may be required to contribute to costs of fieldwork.
This module is only for students that are registered for a major or programme in which this module is
specifically listed as core.
- Teacher: Romano Lottering
- Teacher: Collins Matiza (220112661)
- Teacher: Thembelani Heidi Dlamini
- Teacher: Michael Gebreslasie
- Teacher: Ayrton Oddone Aquino (214549882)
- Teacher: Irvin Shandu (224166210)
- Teacher: Sifiso Xulu
- Teacher: Jemma Finch
- Teacher: Sphumelele Lucky Nkomo
- Teacher: Sizwe Thamsanqa Hlatshwayo
- Teacher: Fathima Ahmed
- Teacher: Erwin Sieben
- Teacher: Trevor Hill
- Teacher: Adrian Nel
- Teacher: Mihai Serban Proches
- Teacher: Erwin Sieben
- Teacher: Jemma Finch
ENVS712 P1 W1
Prerequisite Requirement: At least 60% in ENVS316.
Aim: To provide advanced insight into GIS and its applications. Emphasis is on understanding through an analytical
modelling approach to spatial problems.
Content: Analytical modelling, techniques for spatial modelling. Statistical analysis and interpretation of geographic
data. Spatial database design and manipulation. Error assessment and management. GIS project design and
management. Environmental GIS applications.
Practicals: GIS applications for environmental management.
Assessment: Assignment (15%), practical report (10%) seminars (10%), practical
test (15%); 3 h theory exam (50%).
Subminimum: 40% on exam.
DP Requirement: Not applicable
- Teacher: Romano Lottering
Aim: The module is designed to provide advanced insight into GIS and its applications. Emphasis is on understanding through an analytical modeling approach to spatial problems.
Content: Analytical modeling, techniques for spatial modeling, Statistical analysis and interpretation of geographic data, spatial database design and manipulation, Error assessment and management, GIS project design and management, Environmental GIS applications.
Practicals: GIS applications
for environmental science.
Assessment:
The module will primarily be assessed by the Final Theory exam (accounting for 50% of the total mark) and practical test (accounting for 20% of the total mark), which will be held after we finish the module. The remaining 30% of the total mark is a formative assessment that includes Seminars (15%) and practical reports (15%).
- Teacher: Michael Gebreslasie
- Teacher: Helen Ndlovu (216016417)
- Teacher: John Odindi
- Teacher: Michael Gebreslasie
- Teacher: Sifiso Xulu
- Teacher: Fathima Ahmed
- Teacher: Michael Gebreslasie
- Teacher: Srinivasan Pillay
- Teacher: Mihai Serban Proches
- Teacher: Sifiso Xulu
- Teacher: Srinivasan Pillay
- Teacher: Lindile Danisa
- Teacher: Hupenya Makusha
- Teacher: Zesuliwe Mhlongo (221061794)
- Teacher: Media Mukarati (215061353)
- Teacher: Media Rufaro Mukarati
- Teacher: Peter Mwipikeni
- Teacher: Nelisiwe Ndlovu (219071158)
- Teacher: Ntombikayise Nkosi (221009180)
- Teacher: Nothando Happy-Girl Shandu
- Teacher: Asanda Xasibe (221037183)