NUST eLearning
Search results: 396

- Lecturer: Rut Magano Shiwambi

- Lecturer: Aili Amupolo
This course aims to prepare students for the digital economy by empowering them to explore the opportunities that digital entrepreneurship has to offer and harness different online resources to establish digital bases enterprises. Upon successful completion of the course students will, through assessment activities, show evidence of their ability to:
- Evaluate the Digital Economy concept, its impacts, influence, and challenges.
- Develop a digital business strategy.
- Examine platform business models and identify business opportunities they present to entrepreneurs.
- Harness online resources to develop an online-based business.
- Assist Small and Medium-Sized (SMEs) with digital transformation
- Develop online content for digital entrepreneurship.
- Apply digital communication and social networks to create digital business opportunities.
- Lecturer: Moses Shuuya

This course aims to emphasise the fundamentals and importance of digital forensics by equipping students with theoretical and practical knowledge and experience for recovering admissible evidence from digital devices. It will further provide students with relevant skills and competencies to prepare such evidence for presentation in a court of law and to develop knowledge and understanding of digital forensic techniques.
- Lecturer: Hillary Kwala
- Lecturer: Uakomba Mbasuva
- Lecturer: Isaac Nhamu
This course aims to introduce students to the principles and concepts involved in the design of distributed systems, system architecture and related protocols.
- Lecturer: Naftali Indongo
- Lecturer: Herman Kandjimi
- Lecturer: Ndinelago Nashandi
- Lecturer: ABRAHAM PELEMA
- Lecturer: Dr Vistorina Amputu
- Lecturer: Brandon Strauss
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: Linda Kambonde
- Lecturer: Eden Shipanga
- Lecturer: Uaarukapo Tjitunga
- Lecturer: Lydia Jackie
- Lecturer: Beatrice Mutonga
- Lecturer: David Mateu
- Lecturer: Charles Mbazuvara
- Lecturer: Maria Ndakola
This course equips students with knowledge, skills and competencies in developing plans of educational systems using numerous tools, concepts and thinking paradigms useful for identifying educational needs and problems in an orderly, systematic and objective manner.
- Lecturer: Linda Kambonde
- Lecturer: Faith Marais
- Lecturer: Joseph Subasubani
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: Erkkie Haipinge
- Lecturer: Beatrice Mutonga
- Lecturer: Hilde Amushembe
- This course aims at equipping the students with the necessary skills required to understand, define and analyse basic and complicated electrical circuits.
- The course provides theory and techniques required to develop, analyse and simplify alternating-current (a.c.) and direct-current (d.c.) circuits/networks containing resistors, capacitors and inductors using appropriate principles, techniques and theorems.
- The course also provides a platform for students to develop unique analytical skills which will be used in other non-electrical courses in engineering.
- Lecturer: Martha Iipinge
- Lecturer: Kalaluka Kanyimba
- Lecturer: Markus Hitila
- Lecturer: Elifas Ngonga
- Lecturer: Hilde Amushembe
