- Lecturer: Dr Gloria Veindira Karita
- Lecturer: Magdaleena Nambala
- Lecturer: Cephas Pahla
- Lecturer: Adri Smith
NUST eLearning
Search results: 1354
- Lecturer: Dr Gloria Veindira Karita
- Lecturer: Magdaleena Nambala
- Lecturer: Cephas Pahla
- Lecturer: Adri Smith
- Lecturer: Bernadette Cloete
- Lecturer: Linda Kambonde
- Lecturer: Faith Marais
- Lecturer: Maria Indongo
- Lecturer: Selma Gwangapi Naanda
- Lecturer: Salomo Tjitamunisa
Introduces marketing as a powerful tool to provide value to consumers through innovative products, services, ideas and experiences. Engages in critical discourse of the historical and emerging marketing context through lectures, discussions, critiques and videos. Students will have an opportunity to be trained to acquire the knowledge and develop the mindset needed to become a marketer who provides superior value in the marketplace.
- Lecturer: Lydia Heelu
- Lecturer: Loide Moombola
- Lecturer: Kalsen Neliwa
Category: Marketing & Logistics
- Lecturer: Bernadette Cloete
- Lecturer: Dr Indepentia De Waldt
- Lecturer: Maria Indongo
- Lecturer: Prof Maxwell Chufama
- Lecturer: Brenda Kahuikee
- Lecturer: Selma Gwangapi Naanda
- Lecturer: Rosina Shikongo
Category: Marketing & Logistics
- Lecturer: Cephas Pahla
- Lecturer: Adri Smith
- Lecturer: Salomo Tjitamunisa
- Lecturer: Adri Smith
- Lecturer: Salomo Tjitamunisa
Category: Marketing & Logistics
- Lecturer: Dr Kwabena Abrokwah-Larbi
- Lecturer: Cherley Du Plessis
- Lecturer: Lydia Heelu
- Lecturer: Maria Indongo
- Lecturer: Sisi Kaapehi
- Lecturer: Brenda Kahuikee
- Lecturer: Dr Gloria Veindira Karita
- Lecturer: Clemens Kazondovi
- Lecturer: Rosina Shikongo
- Lecturer: Lydia Heelu
- Lecturer: Beatrice Mutonga
- Lecturer: Selma Gwangapi Naanda
Category: Governance & Management Sciences
- Lecturer: Jeremia Amutenya
This course will prepare students for advanced research by examining how to plan, conduct and report on empirical investigations with an emphasis on data science within an application domain (e.g., NLP, Finance, Healthcare, Agriculture, and Telecommunications). It will also introduce students to practical but scientific research work, and to encourage independent academic and/or commercial research among students. The overall outcome is to develop novel solutions to data science-related problems and communicate the findings (concepts, designs and techniques) effectively and professionally in accordance with NUST requirements.
Students have to submit three (3) Progress Reports during the year of Thesis, using the link provided.
Due dates are: 17 April, 17 July and 13 November for Report No1, No2 and No3 respectively.
- Lecturer: Dr. Richard Maliwatu
- Lecturer: Prof Hippolyte Muyingi
- Lecturer: Stephen Visagie
Category: Faculty of Computing and Informatics
- Lecturer: Martin Gonzo
- Lecturer: Edwig Shingenge
Category: Clinical Health Sciences
- Lecturer: Prof Ben Strohbach
Category: S2_2025_FHNRAS_AA
- Lecturer: Dr Madelein Stoffberg
- Lecturer: Dr Lawrence Madziwa
Category: Civil, Mining and Process Engineering
Materials Science 124 (MLS521S) is a core course given to engineering students in the second semester of their first year of study. The course covers the basic concepts that explain material properties based on atomic bonding and crystal structures of solid materials. It explores mechanical, magnetic and electronic properties of materials, as well as highlighting some manufacturing processes to come up with useful components for various applications. It winds up by looking at corrosion and degradation of various engineering applications.
- Lecturer: Jacqueline Kurasha
Category: Civil, Mining and Process Engineering