Inspiration

Course objective: To provide students with the skills to use GhatGPT in their assignments. The course is a non-programming course, which focuses on digital technology understanding, implementation and operation. Target audience: B. Eng. students specializing in the implementation and use of digitalization and Industry 4.0 technologies. Use of generative AI: in Assignments (which are part of the exam) Course content from course database: Digitalization and Industry 4.0 have have a significant impact on the value chains, production systems, and processes. Digitalization and Industry 4.0 have affected the production of products as well as the production of services (for example in the financial sector, health care and in the transport sector). Digitalization and the application of data provide new opportunities to develop and optimize the company’s value chains, production systems, and processes. However, there is a challenge for many companies about creating real value from digitalization. This course will, based on the ongoing movement towards Industry 4.0, will provide students with an overview of the opportunities that digitization provides to develop and optimize value chains, production systems and processes ...

Course Objective To provide students with a comprehensive understanding of the principles, technologies, and strategies involved in designing and managing global communication networks. Target Audience Graduate students specializing in telecommunications, network engineering, or related fields. Use of generative AI in Assignments (which are part of the exam) Course content from course database The focus of the course will be on providing the students of a general understanding of the complexity of the core and transport infrastructure. It will contain topics such as network topologies, network layering and stratification, reference models, complex communication systems, transmission and multiplexing protocols and their internal relation, logical vs. physical networks, traffic characterization, network resilience, network control and management, node architecture, energy efficiency, quality of service (QoS) and Quality of Experience, and transition from legacy to next generation networks. Assignments, groupwork, peer-evaluation and presentations are an integral part of the course. ...