- Lecturer: Christine Aitana
- Lecturer: Simeon Amunkete
- Lecturer: Prof Sulaiman Olusegun Atiku, PhD
- Lecturer: Cephas Pahla
NUST eLearning
Search results: 821
- Lecturer: Christine Aitana
- Lecturer: Prof Sulaiman Olusegun Atiku, PhD
- Lecturer: Mufaro Dzingirai
- Lecturer: Cephas Pahla
- Lecturer: James Van Rooi
- Lecturer: Christine Aitana
- Lecturer: Prof Sulaiman Olusegun Atiku, PhD
- Lecturer: Dr Kabiru Genty
- Lecturer: Cephas Pahla
- Lecturer: James Van Rooi
- Lecturer: Christine Aitana
- Lecturer: Prof Sulaiman Olusegun Atiku, PhD
- Lecturer: Godwin Kaisara
- Lecturer: Cephas Pahla
- Lecturer: James Van Rooi
- Lecturer: Christine Aitana
- Lecturer: Prof Sulaiman Olusegun Atiku, PhD
- Lecturer: Dr Geoffrey Nambira
- Lecturer: Cephas Pahla
- Lecturer: Christine Aitana
- Lecturer: Prof Sulaiman Olusegun Atiku, PhD
- Lecturer: Cephas Pahla
- Lecturer: Christine Aitana
- Lecturer: Prof Sulaiman Olusegun Atiku, PhD
- Lecturer: Cephas Pahla
- Lecturer: Dr Vusumuzi Sibanda
- Lecturer: James Van Rooi
Econometrics is a major part of degree programmes in economics. Indeed, economists, especially those in the areas of macroeconomic modelling and research, amongst others, need reasonable knowledge of this course in order for them to operate in a more efficient manner. Given this background, this course essentially aims at equipping the students with the basics of Econometrics as well as some aspects of Applied Econometrics. The students should be able to build econometric models, estimate econometric models, evaluate econometric models and also forecast macroeconomic variables.
- Lecturer: Henrietha Beukes
- Lecturer: Linda Kambonde
- Lecturer: Eden Shipanga
- Lecturer: Magdaleena Nambala
- Lecturer: ESLON NGEENDEPI
- Lecturer: Eslon Ngeendepi
- Lecturer: Cephas Pahla
- Lecturer: Adri Smith
- Lecturer: Prof Ronald Chifamba
- Lecturer: Rebecca Mujazu
- Lecturer: Cephas Pahla
- Lecturer: Evans Simataa
- Lecturer: James Van Rooi
- Lecturer: Henrietha Beukes
- Lecturer: Linda Kambonde
- Lecturer: Mally Likukela
This course explores the effective integration of technology into teaching and learning environments. It introduces students to key concepts, tools, and strategies in educational technology, including digital learning platforms, multimedia resources, interactive tools, and emerging trends such as artificial intelligence and virtual reality in education. Students will critically evaluate and apply technological solutions to enhance instructional design, learner engagement, and assessment in both traditional and online learning settings.
- Lecturer: Dr Jacqueline Bock
Dear students
Welcome to Educational Technology
This course aims to provide students with an understanding of the various ways of using online technologies and resources to support teaching, learning, and assessment in campus-based and online course contexts.
- Lecturer: Ndakolute Abraham
- Lecturer: Angela Apollus
- Lecturer: Juliet Eiseb
- Lecturer: Erkkie Haipinge
- Lecturer: Beatrice Mutonga
- Lecturer: Dr Wassihun Amedie
- Lecturer: Elifas Ngonga
The course, Electrical Machines 214, introduces students to the fundamentals of electrical machines, i.e., the construction, operation and applications of electrical machines.
The course aims at equipping the students with the necessary skills required to carry out the basic analysis of electrical machines and electrical machine systems. The course also provides the necessary theory of electro-mechanical energy conversion principles required to understand the construction, operation and control of electrical machines and machine systems.
- Lecturer: Kalaluka Kanyimba
The course aims at ensuring that the student can demonstrate deepened, comprehensive and systematic expertise in engineering by successfully working on a design/research project with minimum supervision.
- Lecturer: Dr Anunciya Josua