- Lecturer: Lydia Heelu
- Lecturer: Maria Indongo
- Lecturer: Selma Gwangapi Naanda
NUST eLearning
Search results: 263
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
- Lecturer: Stephen Visagie
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
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: Dr Godwin Ugwunnadi
This course is designed for students pursuing a career in Land Management and related fields. There is no doubt that to be a reliable Land Manager (in whatever aspect of it), basic competencies in Mathematics and Statistics are essential. This course, therefore, deals with those crucial areas of Mathematics and Statistics that are applicable to efficient Land Management and Spatial Science skills.
- Lecturer: Lutopu Khoa
Today, computers are used in almost all fields of human endeavor wherever data are collected and
analysed. For this reason, certain mathematical topics related to the computer and information
sciences are now being widely studied. To this end, topics covered in this course include the binary
number system, relations and logic circuits, set theory and relations, Boolean algebra and logic gates, combinatorial Analysis.
- Lecturer: Jonas Amunyela
The course is broken down into two interrelated topics: algebra and trigonometry.
Algebra is a mathematical “language” that generalizes arithmetic by using letters to represent numbers and state arithmetic rules and conclusions so that they will be valid for many or all numbers.
Trigonometry is the branch of mathematics that studies relationships involving lengths and angles.
- Lecturer: Dr David Iiyambo
- Lecturer: Yvonne Nkalle
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- Lecturer: Maria Indongo
- Lecturer: Selma Gwangapi Naanda
- Lecturer: T’Neil Young
Welcome to the Media Ethics in the Digital Age course.
You will agree with me that it is an exciting time to be pursuing your Masters degree. This is because Technology, Social Media et al have changed the way we do things, the way we do journalism, and even our daily lives have been totally submerged in tech stuff, besides other things competing for our attention....
That is why it is important to know how to do stuff the right way.
This course therefore builds on the ethical approaches that are introduced in most undergraduate journalism and media studies courses. Its aim is to broaden students’ knowledge of issues surrounding the new media. The issues discussed include the proliferation of information and misinformation on the Internet, the rise of citizen journalism, and the difficulties regarding the verification of online information.
- Lecturer: Prof Eno Akpabio
- Lecturer: Dr Hugh Ellis-Mwiya
COURSE DESCRIPTION
This course aims to introduce students to the law governing the practices of journalism, including the concepts of freedom of expression, the right to know, access to information and the rule of the law. The course also allows the student to assess the impact of media laws on the journalism profession.
COURSE LEARNING OUTCOMES
Upon successful completion of the course students should, through assessment activities, show evidence of their ability to:
- Apply legal terminology in court reporting.
- Discuss the impact of the Namibian Constitution on freedom of speech.
- Outline the work of the Communications Regulatory Authority of Namibia (CRAN).
- Discuss the laws pertaining to copyright, defamation, privacy, diplomacy, advertising and gender
- Defend the right to protect the identity of sources.
- Demonstrate understanding of the legal principles required to be adhered to by media (communication) personnel.
- Lecturer: Wanja Njuguna
This course aims to introduce the Medical Laboratory student to the principles and methods needed in the medical microbiology laboratory with its instrumentation, laboratory techniques, quality assurance, automation and safety procedures. The course information will be shared with students through formal lectures, demonstrations, on-line exercises, group exercises and assignments, case-study analysis, practical laboratory sessions as well as student presentations.
- Lecturer: Fredrika Engelbrecht
- Lecturer: Helena Siyanga
- Lecturer: Dr Tashnica Sylvester
The course aims to equip students with the cognitive and psychomotor skills to carry out basic rescue, utilizing basic rescue awareness, fire rescue and motor vehicle rescue. The second section of the course aims to equip students with the cognitive and psychomotor skills to carry out basic rescue, utilizing high angle rescue, wilderness search and rescue as well as Hazardous Materials.
Welcome to the Microbiology course. This course is offered in the first semester of the 3rd year B Sc undergraduate study. The course study guide is aimed at assisting the student for preparation and as a self-study tool for the course. The course learning outcomes, assessment strategies and learning activities are outlined in the guide.
This course is designed to provide students with solid grounding in the role of microorganisms as pathogenic agents, the cellular and molecular basis of immune response and the tools used in diagnosing and treatment of infections caused by infectious agents.

- Lecturer: Petrus Paulus
Microbiology is a second-year course for the Bachelor of Human Nutrition students. This course aims to equip students with knowledge and skills on characteristics of microbes in food safety, identification of those microbes, how microorganisms cause food spoilage and foodborne illness, basic microbes used in different fermented foods and how to control microbes in from the farm to folk.
- Lecturer: Fiina Namukwambi
Welcome to the Microbiology course. This course is offered in the first semester of the 3rd year B Sc undergraduate study. The course study guide is aimed at assisting the student for preparation and as a self-study tool for the course. The course learning outcomes, assessment strategies and learning activities are outlined in the guide.
This course is designed to provide students with solid grounding in the role of microorganisms as pathogenic agents, the cellular and molecular basis of immune response and the tools used in diagnosing and treatment of infections caused by infectious agents.

This course is a terminal course for all land administration students at the honours level. It is the research component of their studies in the programme. It involves discussions on research project progress and supervision.
- Lecturer: Prof Eugene Chigbu

This course is designed to provide students with deepened knowledge of mobile technology, as well as constraints and techniques essential in designing and developing mobile applications.
- Lecturer: WILBARD LAZARUS
- Lecturer: Dr Simon Muchinenyika
- Lecturer: Josephina Muntuumo
- Lecturer: Dr Munyaradzi Maravanyika

This course is designed to expose students to Hypertext Markup Language (HTML) relevant to creating a personal web page and to maintain an electronic publication. Different uses of multimedia will be discussed, as well as the impact of growing online publishing on traditional media industries and commerce. Aspects of user-friendliness, design and content are covered. Students will create their own websites, which will be exhibited on the departmental website. Students must also participate in the production of an online publication by producing online articles.
- Lecturer: Peter Gallert
- Lecturer: Dr Emelda Gawas
- Lecturer: Immanuel Kandjabanga
- Lecturer: Johnson Mutirua
- Lecturer: Beatrice Mutonga
- Lecturer: Prof Phillip Santos