- Lecturer: Peter Haufiku
- Lecturer: Maria Indongo
- Lecturer: Selma Gwangapi Naanda
NUST eLearning
Search results: 1366
- Lecturer: Christian John
- Lecturer: Indaa Paulus
- Lecturer: Brenda Kahuikee
- Lecturer: Abraham Shilomboleni
- Lecturer: Fiina Shimaneni
- Lecturer: Dr Theresia Mushaandja
- Lecturer: Magdaleena Nambala
- Lecturer: Cephas Pahla
- Lecturer: FRACINA STEFANUS
- Lecturer: Mphonyana Ikalafeng-Verbeeck
- Lecturer: Rhodes Muyunda
- Lecturer: Rauna Ndengu
- Lecturer: Dr Rauha Nekongo
- Lecturer: Rauna Nekongo
- Lecturer: Clementine Tjameya
- Lecturer: Naemi Ashimbuli
- Lecturer: Mphonyana Ikalafeng-Verbeeck
- Lecturer: Dr Elina Ithindi
- Lecturer: Brenda Kahuikee
- Lecturer: Mercy Mushonga
- Lecturer: Johnson Mutirua
- Lecturer: Rhodes Muyunda
- Lecturer: Rauna Nekongo
- Lecturer: Dr Cecilia Sibalatani
- Lecturer: Clementine Tjameya
This course focuses on equipping students with the knowledge and skills for application of principles of management in health service delivery and and project management.
- Lecturer: Erick Uukule
- Lecturer: WALIOMUZIBU WALIOMUZIBU MUKISA
This course is for students where a broad introduction to economics is required. It introduces
the student to the operation of the economy as a whole and focuses on areas such as the
national accounts, the major sectors in the economy and macroeconomic problems such as
unemployment, inflation, business cycles and economic growth and development.
- Lecturer: Lavinia Benetta Hofni
- Lecturer: Linda Kambonde
- Lecturer: Faith Marais
- Lecturer: Precious Mwikanda
- Lecturer: Dr Tinoapei Dhliwayo
This course is intended for students where a broad introduction to Economics is required. It aims to provide an overview of Economics and an introduction to the most important economic issues. Apart from the introduction, it focuses on basic microeconomic concepts, topics and issues such as demand and supply, elasticity, consumer choice and the decisions firms make and their interaction in specific markets and industries.
- Lecturer: Lavinia Benetta Hofni
- Lecturer: LUISE IIPUMBU
- Lecturer: Linda Kambonde
- Lecturer: Faith Marais
- Lecturer: DAVID METODIU
- Lecturer: Simeon Nghiwilepo CA (NAM)
- Lecturer: Annete Peter
- Lecturer: JASON SHIGWEDHA
- Lecturer: Erick Uukule
- Lecturer: George Waliomuzibu
- Lecturer: Dr Teofilus Shiimi
- Lecturer: Amin Issa
Personal selling occurs when a company representative interacts directly with a customer or prospective customer to present information about a product or service. It is a process of developing relationships, discovering needs, matching the appropriate products with these needs, and communicating benefits through informing, reminding, or persuading. Preparation for a career in personal selling begins with the development of a personal philosophy or set of beliefs that provides guidance. To some degree, this philosophy is like the rudder that steers a ship. Without a rudder, the ship’s direction is unpredictable. Without a personal philosophy, the salesperson’s behavior also is unpredictable.
- Lecturer: Brenda Kahuikee
- Lecturer: Clemens Kazondovi
- Lecturer: Selma Gwangapi Naanda

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- Lecturer: Natache Iilonga
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- Lecturer: Dr Hugh Ellis
- Lecturer: Dr Hugh Ellis-Mwiya
This course introduces students to basic laws of probability, continuous and discrete random variables, and special probability distributions. By the end of this module, students should be able to apply basic laws of probability and probability distributions in solving various biological and physical problems.
- Lecturer: Dr Dismas Ntirampeba
This course introduces students to basic laws of probability, continuous and discrete random variables, and special probability distributions. By the end of this module, students should be able to apply basic laws of probability and probability distributions in solving various biological and physical problems.
- Lecturer: Dr Dismas Ntirampeba

In this course, a student will be taken through revision on probability mass function; probability density functions: definition and rules, cumulative distribution functions, mean, median variance, standard deviation and coefficient of variation; Joint probability distribution functions: Marginal probability functions, conditional probability distribution functions and independent random variables; Expectations, Moment generating functions and moments, Cumulant generating functions and cumulants; Characteristic functions; Function of random variables and convolution.
- Lecturer: Dr Dibaba Gemechu