Critical path analysis What is critical path analysis? Critical path analysis is a technique of analysing dependant tasks and calculating the total time to complete the project. This allows the project manager to see the shortest time that the project will take to complete. It will also show which tasks are critical to the project rather than tasks which may not be necessary to successfully complete the project. When will an employer use critical path analysis? An employer might use Critical Path Analysis (CPA) to plan, execute, and manage projects, especially when tasks are interdependent, deadlines are crucial, and resources are limited. Some specific scenarios may be project planning and scheduling, resource management, cost management and risk management. An example industry using critical path analysis would be manufacturing. CPA would be used to streamline production processes and supply chains. Critical path analysis used in MS...
Topologies What is a network topology? A network topology is the arrangement of the elements, such as links and nodes, of a communication network. Network topology can be used to define or describe the arrangement of various types of telecommunication networks, including command and control radio networks and computer networks. Network topology examples Point to point topology - This is arguably the most basic topology as it only consists of 2 nodes and a connection between them. So for example, if you were to configure a router in London, to connect and use resources on a network in Manchester, you would want to make sure that you had a link between them that supports your needs. Star topology - A star topology is a centralised topology consisting of multiple nodes and a central hub/switch. It is also a design where all devices are connected to a central hub or switch, and messages are passed to the central core that, in turn, passes the
Emerging technologies allowing adaptability and future proofing Machine Learning Machine Learning is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalise to unseen data, and thus perform tasks without explicit instructions. Advances in the field of deep learning have allowed neural networks to surpass many previous approaches in performance. Artificial Intelligence (AI) Artificial Intelligence is a set of technologies that enable computers to perform a variety of advanced functions, including the ability to see, understand and translate spoken and written language, analyse data, make recommendations and more. Internet of things (IoT) The internet of things refers to a network of physical devices, appliances and other physical objects that are embedded with sensors, software and netw...
Comments
Post a Comment