- Lecturer: Jebasingh Daniel
NUST eLearning
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- Lecturer: Melizande Kauraisa
- Lecturer: Bernadette Cloete
- Lecturer: Dr Indepentia De Waldt
- Lecturer: Dr Kristofina Junias
- Lecturer: Linda Kambonde
- Lecturer: Faith Marais

The purpose of this course is to introduce students to the relationship between gender and communication and to examine how communication shapes, reflects, and challenges gender identities, roles, and power relations in society. The course explores key theories and concepts in gender communication while critically examining the influence of interpersonal communication, language, media, culture, politics, and digital technologies on the construction and representation of gender. Drawing on examples from Namibia, Africa, and the wider global context, students will analyse how communication practices contribute to issues such as gender inequality, representation, stereotyping, inclusion, advocacy, and social change. The course also explores contemporary issues, including gender and social media, artificial intelligence, online harassment, and digital activism. By the end of the course, students will have developed the critical knowledge and analytical skills required to evaluate gendered communication practices and to promote inclusive, ethical, and socially responsible communication in professional and everyday contexts.
- Lecturer: Dr Mbongeni Msimanga
- Lecturer: NDAAMBEULU NEPANDO
Welcome to General Biology 1A, hoping you will have an engaging and transforming experience.
- Lecturer: Petrus Paulus
- Lecturer: Linda Ratjama
- Lecturer: Dr Jeya Kennedy
- Lecturer: Mandene Morkel
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- Lecturer: Dr Euodia Hess-Wallenstein
- Lecturer: Dr Marius Mutorwa
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- Lecturer: Dr Euodia Hess-Wallenstein
- Lecturer: Bevin Zealand
- Lecturer: Dr Hafeni Dr Hainghumbi, Hafeni
- Lecturer: Rebecca Mujazu
- Lecturer: John Mukoya
- Lecturer: Cephas Pahla
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- Lecturer: Dylan Bezuidenhout
- Lecturer: Dr Vaino Indongo
- Lecturer: Sheelagh Ndahepele
- Lecturer: Pomwene Shitumbapo
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- Lecturer: Pedro Tjakwanda
- Lecturer: Aune Angobe
- Lecturer: Dr Maliata Wanga
- Lecturer: Kaleb Negussie
The course aims to provide students with knowledge of the types of different spatial databases. Students will also be able to design a spatial database using FOSS GIS, populate the spatial tables and perform basic spatial analysis. Other areas to be covered include ESRI geo-database types and supported elements, Working with ESRI geo-database subtypes, domains and relationship rules, ESRI geo-database Annotation: Creating, editing, and managing annotation features, ESRI geo-database Topology rules, management and editing and Utility Networks and analysis.
- Lecturer: Erich Naoseb
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- Lecturer: Ivonne Makando
- Lecturer: Kaleb Negussie

Welcome to GIS 2
Get ready to explore the exciting world of geospatial data. In this course, you’ll learn how to acquire spatial data, solve real-world problems, perform basic vector analysis, and understand the importance of metadata.
This course introduces the theory and practice of basic geospatial analysis, focusing on:
- Data Acquisition – Learn how spatial data is sourced and prepared
- Spatial Problem Analysis – Use GIS to understand and solve real-world issues
- Basic Spatial Analysis (Vector) – Explore how vector data helps analyze patterns
- Metadata – Understand how data documentation supports GIS integrity
What You’ll Learn
By the end of this course, you should be able to:
- Explain spatial file formats and describe how to create/edit GIS layers
- Analyze spatial problems and evaluate GIS-based solutions
- Apply vector-based spatial analysis techniques appropriately
- Define and create metadata using standard formats and assess its quality
Recommended Reading
To support your understanding, the following textbooks are recommended:
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Principles of Geographic Information Systems, 3rd Ed. (ITC, 2004)
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Applied GIS and Spatial Analysis, by Stillwell & Clarke (2004)
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GIS Tutorial II: Spatial Analysis Workbook, by David W. Allen (2009)
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An Introduction to Geographical Information Systems, by Heywood et al. (2nd Ed., 2002)
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Principles of Geographical Information Systems, by Burrough & McDonnell (1998)
“Stay afraid, but do it anyway. What’s important is the action. You don’t have to wait to be confident. Just do it and eventually the confidence will follow.” - Carrie Fisher
- Lecturer: Roxanne Murangi
Theory and practice relating to advanced geospatial analysis, including
· Raster data structures and algorithms for raster information management, extraction and analysis
· Vector data structure and algorithms for vector information management and analysis
· Raster and vector classification measurement and retrieval functions
· Raster and vector connectivity functions
· Raster and vector neighbourhood functions- Geometric, visibility, hydrological, network, environmental and cost/distance analysis, Triangulated irregular networks, digital elevation models and digital terrain models
· Raster and vector overlay functions
- Lecturer: Kaleb Negussie