NUST eLearning

Computer Architecture and Organization aims to develop a deeper understanding of the hardware environment upon which all of computing is based, and how a hardware layer is interfaced to the software layers that comprise the applications that perform modern computing. Students need to understand computer architecture to develop programmes that can achieve high performance through a programmer’s awareness of hardware functional components, their characteristics and limitations. In selecting a system to use, students should be able to understand the trade-offs among various components, such as CPU clock speed, cycles per instruction, memory size, and average memory access time

This course aims at providing the students with the understanding of elements and technologies used by carrier networks (ISP) to provide services such as telephony, Internet and television to individuals. The course also addresses the problem of external routing and the implementation of quality of service by resource reservation or by traffic engineering in the networks. 

Data management, ethics and security (DME911S) forms part of the Master of Data Science programme. The course is offered in the first semester. The module can be divided into three parts: data management, ethics and security. The course aims to expose students to advanced concepts in handling large and varied datasets including the design, storage, access, protection, governance, and security.

The aim of the course is to impart knowledge and skills to enable students to manage a DBMS in order to optimise its use, administer users, create an operational database and properly manage the various structures in an effective and efficient manner including performance monitoring, secure databases as well as plan and implement recovery strategies. The course provides a hands-on administrative approach using current relational DBMSs.

This course aims to prepare students for the digital economy by empowering them to explore the opportunities that digital entrepreneurship has to offer and harness different online resources to establish digital bases enterprises. Upon successful completion of the course students will, through assessment activities, show evidence of their ability to:

1. Evaluate the Digital Economy concept, its impacts, influence, and challenges.
2. Develop a digital business strategy.
3. Examine platform business models and identify business opportunities they present to entrepreneurs.
4. Harness online resources to develop an online-based business.
5. Assist Small and Medium-Sized (SMEs) with digital transformation
6. Develop online content for digital entrepreneurship.
7. Apply digital communication and social networks to create digital business opportunities.

Econometrics is a major part of degree programmes in economics. Indeed, economists, especially those in the areas of macroeconomic modelling and research, amongst others, need reasonable knowledge of this course in order for them to operate in a more efficient manner. Given this background, this course essentially aims at equipping the students with the basics of Econometrics as well as some aspects of Applied Econometrics. The students should be able to build econometric models, estimate econometric models, evaluate econometric models and also forecast macroeconomic variables.

The course, Electrical Machines 214, introduces students to the fundamentals of electrical machines, i.e., the construction, operation and applications of electrical machines.

The course aims at equipping the students with the necessary skills required to carry out the basic analysis of electrical machines and electrical machine systems. The course also provides the necessary theory of electro-mechanical energy conversion principles required to understand the construction, operation and control of electrical machines and machine systems.

This course aims to set a foundation for the entire MSES programme by providing conceptual and practical knowledge on both renewable and non-renewable energy systems for exploitation through appropriate technologies. Starting from a discussion of the importance of energy and the fundamentals of energy sources (renewable and non-renewable), the course explores different types of energy systems, with emphasis on renewable energy in the electricity supply industry, culminating in concepts of demand-side management and energy efficiency.

LEARNING OUTCOMES:

Upon successful completion of the course, students will, through assessment activities, show evidence of their ability to:

· Describe relationships between Energy Systems and the Sustainable Development Goals

·  Discuss the fundamental features of energy sources (both renewable and non-renewable) and their associated environmental impacts.

·  Describe the Namibian electrical power system and the role of renewable energy technologies in resolving the World Energy Council’s energy trilemma.

·    Assessment techniques for renewable energy resources.

· Explain the concepts of power system demand-side management and energy efficiency

•     Perform design calculations for selected renewable energy systems.

The overall aim of the course is to give the students the necessary skills to assess cooperate networks for vulnerabilities and mitigate them before security attacks. The students will secure a medium-sized company network against possible attacks and intrusions, test and configure network security, ensure network devices can operate securely. Further, this course will enable students to report on network security issues and trends, as well as protect networks.