- Lecturer: Jebasingh Daniel
Category: S1_2026_FEBE_MIEE
NUST eLearning
Search results: 943
- Lecturer: Dr Vaino Indongo
Thermodynamics (TMD610) is a core course to be completed in the third semester to master the basics of thermodynamics. The course is designed to provide students with an insight understanding of the basics of thermodynamics and the working principles of power plants and refrigeration systems. The course will further focus on the various laws of thermodynamics and the working principles of steam power plants, diesel and petrol engines, gas turbine power plants and refrigeration systems.
- Lecturer: Frans Hanghome
Category: S1_2026_FEBE_MIEE
- Lecturer: Dr Munyaradzi Maravanyika
- Lecturer: Stephen Visagie
- Lecturer: Dr Munyaradzi Maravanyika
- Lecturer: Stephen Visagie
- Lecturer: Dr Kwabena Abrokwah-Larbi
Category: Marketing & Logistics
- Lecturer: Dr Munyaradzi Maravanyika
Category: Faculty of Computing and Informatics
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 Munyaradzi Maravanyika
Category: Faculty of Computing and Informatics
- Lecturer: Dr Munyaradzi Maravanyika
- Lecturer: Dr Munyaradzi Maravanyika
Category: SCHOOL OF INFORMATICS_S1_2026
- Lecturer: Dr Munyaradzi Maravanyika
Category: SCHOOL OF INFORMATICS_S1_2026
Time series analysis and modeling is applied in a wide range of areas including economics, meteorology, market stock and exchange rates, epidemics,earthquakes, and many more. In this course, the student will be taken through introductory basics of time series analysis and modelling.
- Lecturer: Dr Josua Mwanyekange
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- Lecturer: Ethilde Kuwa
Category: Hospitality and Tourism
- Lecturer: Dr Sisco Auala
Category: Marketing & Logistics
- Lecturer: Prof Simon Chiutsi
Category: Communication and Languages
- Lecturer: Odilo Sikopo
- Lecturer: Uaarukapo Tjitunga
Category: S1_2026_FCHSE_HT
- Lecturer: Joseph Gandanhamo
Category: ADS-TLT
In today’s turbulent business environment, training and development of employees is paramount. Organisations that invest in the growth and development of their employees are likely to reap the benefits than their counterparts. This course is expected to give you a grounding and clearer understanding of how to facilitate a training programme. It equips you with the skills to design a training programme, prepare it, assess your training participants as well as evaluate training. It will provide you with the knowledge on how to become an effective trainer.
- Lecturer: Brenda Kahuikee
- Lecturer: Abraham Shilomboleni
- Lecturer: Odilo Sikopo
- Lecturer: Elizabeth Elago
- Lecturer: Maria Indongo
- Lecturer: Rusten Katjangua
- Lecturer: Helvi Kaulinge
- Lecturer: Zenzo Moyo
- Lecturer: Selma Gwangapi Naanda
- Lecturer: Hilma Nuuyandja
- Lecturer: Jackson Shikalepo
- Lecturer: Augustus Stephanus
- Lecturer: Vetiraije Tjipombo
Category: S1_2026_FCHSE_ML