This course aims to support students in the field of agriculture to acquire the relevant basic technical and practical skills that will enable them to perform mechanical duties and tasks.
- Lecturer: Helmuth Tjikurunda
NUST eLearning
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This course aims to support students in the field of agriculture to acquire the relevant basic technical and practical skills that will enable them to perform mechanical duties and tasks.
- Lecturer: Helmuth Tjikurunda
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: Samuel Dipura
- Lecturer: Rut Magano Shiwambi
Analytical Chemistry involves separating, identifying, and determining the relative amounts of the components in a sample of matter. Qualitative analysis reveals the chemical identity of the species in the sample. Quantitative analysis establishes the relative amount of one or more of these species, or analytes in numerical terms. Qualitative information is required before a quantitative analysis can be undertaken.
- Lecturer: Dr Mpingana Akawa
This course aims to equip the student with the required knowledge of the gross anatomy and physiology of the normal human body and how they are functionally related.
- Lecturer: Joshua Hidinwa
Category: S1_2026_PHS
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The course is an introduction to animal (mammalian) structure and function. It focuses on how the form and function of animals enables them to meet their need to survive and reproduce. To do this, animals acquire, process and use energy to cope with challenges in the internal and external environments through a wide variety of physiological, morphological, reproductive and behavioural adaptations Outcomes On completion of this course, students should be able to:
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- Lecturer: Absalom Shitalangaho
- Lecturer: Selma Phillemon
Category: S2_2026_FCI_SC_CyS
This course is a broad introduction to this interdisciplinary field based on processes and colloidal phenomena at interfaces, viz. gas-liquid, gas-solid, liquid-liquid, liquid-solid and solid-solid. Taking a genuinely applied approach, with applications drawn from a wide range of industries, we will attempt to meet your demands of working in the field. The course will, therefore introduces you to a wide range of real industrial examples. These examples range from water treatment through to soil management as well as examples taken from the coatings, detergency, ore flotation and photographic industries. To understand the course better, some of the more demanding mathematical derivations will be treated in a more subtle manner. With carefully structured units, starting with an introduction, and practice questions, this course is invaluable for undergraduates like you taking a first course on colloid and surface chemistry.
- Lecturer: Prof Habauka Kwaambwa
- Lecturer: Prof Dibaba Gemechu
This course aims at enabling students to solve mathematical problems using numerical approaches, specifically considering numerical quadrature, ordinary/partial differential equation examples and numerical optimisation models.
- Lecturer: Prof Sunday A. Reju
The course is designed to expose students to the theory and applications of game theory, queuing models, inventory and network optimisation.
- Lecturer: Prof Sunday A. Reju
- Lecturer: Toini Angula
This course aims to develop students’ advanced competencies in
research design, methodology, and critical inquiry specific to
architecture and the built environment. It enables students to apply
research principles, evaluate academic sources, and produce a
coherent research proposal aligned with postgraduate academic
standards and professional contexts.
- Lecturer: Dr Madelein Stoffberg
- Lecturer: Maurice Nkusi
Category: ADS-TLT
Learning Outcomes
Upon successful completion of the course, the student should be able to:
- Use Artificial Intelligence (AI) techniques to map problem domains into suitable models for effective and efficient processing;
- Evaluate the efficiency and applicability of different AI concepts, models, and algorithms in a specific problem domain;
- Implement AI algorithms.
Course Content
Search Algorithms
- Search, Beyond classical search and Adversarial search
- Constraint Satisfaction and Optimisation
Knowledge, Reasoning and Planning
- Knowledge Representation and Inference
- Classical Planning
- Markov Decision Processes
Machine Learning
- Reinforcement Learning
- Deep Learning
Category: Software Engineering
- Lecturer: Prof Guy-Alain Zodi
Category: S1_2026_FCI_CS
This course introduces students to the principles and techniques of Audio-Visual Media. Students are also introduced to television equipment and its operations.
- Lecturer: Anthony Frans
- Lecturer: Beatrice Mutonga
- Lecturer: Prof Phillip Santos
Category: S1_2026_FCI_IJMT