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- Lecturer: Petrina Haufiku
Category: Hospitality and Tourism
NUST eLearning
Search results: 666
- Lecturer: Nikanor Abiatar
Category: Mechanical and Marine Engineering
- Lecturer: Macdonald Handura
- Lecturer: Linda Kambonde
- Lecturer: Labanus Nashinwe
- Lecturer: Dr Moses Nyakuwanika
- Lecturer: Lameck Odada
Category: Accounting Economics & Finance
- Lecturer: Imelda Gaoses
- Lecturer: Elaine January-Enkali
- Lecturer: Charles Mbazuvara
This course provides a comprehensive overview of business management and leadership principles and practices.
Students will explore key concepts in organizational behaviour, strategic planning, financial management, marketing, and operations management.
The course also emphasizes developing essential leadership skills, such as communication, decision-making, problem-solving, and team building.
Through a combination of lectures, case studies, group discussions, and practical exercises, students will gain the knowledge and skills necessary to succeed in today's dynamic business environment.
- Lecturer: Verinjaerako Kangotue
- Lecturer: Prof Martin Dandira
Category: Governance & Management Sciences
This course provides students with knowledge of the performance management process. Students will enhance their understanding of the relationship between performance management and strategic planning. The course will further provide students with an understanding of the performance appraisal methods, appraisal feedback, conducting Performance interviews, and performance reward systems.
- Lecturer: Brenda Kahuikee
- Lecturer: Ms Martha Namutuwa
- Lecturer: Abraham Shilomboleni
- Lecturer: Dr Wassihun Amedie
- Lecturer: Prof Edosa Omoregie
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
Category: Marketing & Logistics
- Lecturer: Bernadette Cloete
- 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: Lydia Heelu
- Lecturer: Beatrice Mutonga
- Lecturer: Selma Gwangapi Naanda
Category: Governance & Management Sciences
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
Category: Faculty of Computing and Informatics
- Lecturer: Edwig Shingenge
Category: Clinical Health Sciences
- Lecturer: Prof Dipti Ranjan Sahu
This course introduces the students to Mathematical modelling process from formulation to solution. Specifically, it takes the students through essential aspects of Modeling Change, Modelling using Proportionality and Geometric Similarity techniques, Model Fitting and Experimental Modelling.
- Lecturer: Prof Sunday A. Reju
A popular saying goes like this:
If you think logically and hard enough, you will figure it out.
This course is about logical thinking. For you as a Mathematics and Statistics student, we are using mathematical concepts to enable you to think logically. In real sense, this course is not entirely about Mathematics. Rather it is to prepare you to be as good as possible in your chosen field of study. You will not be on your own. I will be there to guide you through.
- Lecturer: Benson Obabueki