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The course provides hands on training in computational techniques for physics students.  It uses a computational programming language such as Python to aid in the analyses of data and to solve complex systems. Data processing, regression analysis, and simple programming skills will be used to simulate and model conventional physics systems. Visualisation techniques will be used to display and interpret data that would have otherwise been too complex for manual analyses. Various topics in physics (e.g., projectile motion, planetary dynamics, radioactive decay) will be analysed with emphasis on the additional complexity that computational approaches allow the scientist to handle. 

This laboratory-based course consists of hands-on and computer aided laboratory exercises that explore topic areas from fluid mechanics and environmental physics. The theoretical concepts of fluid mechanics are examined experimentally and used to predict the behavior of fluids in larger systems. These concepts are used to explain the properties of wind, rain and clouds, and their effects on the climate and climate change. Measurement and analysis of other environmental parameters (temperature, humidity, and pressure) are also used to investigate the climate and climate change. A critical review of a selected journal paper is an integral part of the course.