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The course is interdisciplinary and reviews the impact of media on the political rhetoric of politicians, moulders of public opinion, and potentates. The main focus is placed on the impact of new communication technologies such as writing, print, and broadcasting on rhetoric and the manifestation of power.
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This course provides an introduction to artificial neural networks and deep learning, with both theoretical and practical aspects. This course gives a basic knowledge of artificial neural networks and deep learning: both the theoretical background and how to practically use these methods for typical problems in machine learning and data mining. The course covers the most common models in artificial neural networks, with a focus on the multi-layer perceptron. The course contains three computer exercises where the student train and evaluate different ANN models.
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This course offers an introduction to Markov processes in discrete and continuous time. Topics include Markov chains, Poisson process, Markov processes, and an introduction to renewal theory and regenerative processes.
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This course uses the knowledge and skills achieved from earlier courses and independently seek and find solutions for complex mechatronic assignments. The course has two parts. The first one is the development of a concept based on a set of technical and functional specifications from a real problem in industry. The concept can be implemented into a working industrial prototype in another optional course (EIEN70 Mechatronics, industrial product design). This task is solved in groups composed by at least one E-student and at least one M-student to form a mechatronic team with various competences. The other part of the course is an individual assignment to construct a complete mechatronic system aimed at controlling a DC motor from a PC interface, including computer communication, electronic design also on the circuit board, microprocessor programming, sensor technology, and automatic control strategies. The system is built in a lab open 24/7, where cooperation is encouraged but still the final examination is individual. Assumed prior knowledge: Approved basic courses in programming, automatic control and electronics/electrical engineering.
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This course reviews issues associated with the strategic sourcing of information systems. The main focus is to understand and evaluate different sourcing strategies for information systems. The course describes various sourcing solutions for development and maintenance as well as the management of information systems. The aim is to equip students with the necessary knowledge in order to be able to assess and evaluate different sourcing strategies for information systems. Some of the issues discussed are: What solutions are there for a company that wishes to implement information systems? What advantages and disadvantages do the different solutions involve? What makes one solution fit better than the other?
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In this course, students get a solid knowledge of Lagrange and Hamilton formulations of classical mechanics with connections to field theory and relativity. The course contains the following: the variation principle and Lagrange's equations; Hamilton's principle; the central force problem with two bodies; motion of rigid bodies; small oscillations; Lagrange formulation of special relativity; Hamilton formalism; Canonical transformations; the Hamilton-Jacobi equation and Poisson brackets; Perturbation theory; and continuous systems and fields.
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