KOGP05, 7.5 credits
Course schedule and curriculum (Opens in new window)
By using computer models, embodied robots in a natural environment, or virtual agents in a digital environment, we can investigate cognitive phenomena such as attention, learning, etc. Within cognitive science we use models of various kinds in order to understand the processes that give rise to cognition. These models attempt to describe the brain or a cognitive phenomenon in a precise manner, e.g. in form of equations or computer programs. The models can be either descriptive or predictive. Descriptive models summarize the data in a uniform shape to provide a better understanding. Predictive models can be used to generate data that can be tested, e.g., in an experiment. The goal of making models may be to explore the cognitive processes or to generate new hypotheses. The goal can be to find biologically inspired approaches to solve technical problems. For example: develop artificial neural networks both to model the brain, and as a technical method.
The course is very project-oriented and your are encouraged to develop your own specific prototype systems based on different cognitive models
Based on your project, the emphasis may vary – but all include: i) technological development, ii) a broadened knowledge of cognitive science, and iii) a broadnened knowledge of information design.
Would you like to know more?
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