NUST eLearning

This course aims to introduce students to entrepreneurship as a concept to be able to establish an entrepreneurialmindset by exploring opportunities and new venture creation as well as industry and competitor analysis. Students will then develop greater self-awareness of their fit with entrepreneurial environments and learn the processes of opportunity identification, resource analyses, financial and feasibility analysis.

This course further aims to motivate students to innovate in business. Students will acquire the knowledge and skills needed to manage the development of innovations, recognize, and evaluate potential opportunities and thereby monetize the innovations. Students will be able to exploit the opportunities, and to acquire resources necessary to
implement their plans.

This course aims to introduce students to the fundamentals of marketing and the environments in which marketing operates and what marketing is to its relevance to the overall business process. It explains the contribution and essence of each of the four traditional and three extra elements (4+ 3 Ps) of marketing products/services and other critical concepts like segmentation and market research and intelligence in developing an effective marketing programme in response to the ever-changing customer and consumers’ demands, needs and wants in other to meet the goal of professional organisations in the areas of sports, logistics, recreation, and transport.

Welcome to General Biology 1A, hoping you will have an engaging and transforming experience.

The course aims to provide students with knowledge of the types of different spatial databases. Students will also be able to design a spatial database using FOSS GIS, populate the spatial tables and perform basic spatial analysis. Other areas to be covered include ESRI geo-database types and supported elements, Working with ESRI geo-database subtypes, domains and relationship rules, ESRI geo-database Annotation: Creating, editing, and managing annotation features, ESRI geo-database Topology rules, management and editing and Utility Networks and analysis.

Theory and practice relating to advanced geospatial analysis, including

·         Raster data structures and algorithms for raster information management, extraction and analysis

·         Vector data structure and algorithms for vector information management and analysis

·         Raster and vector classification measurement and retrieval functions

·         Raster and vector connectivity functions

·         Raster and vector neighbourhood functions- Geometric, visibility, hydrological, network, environmental and cost/distance analysis, Triangulated irregular networks, digital elevation models and digital terrain models

·         Raster and vector overlay functions