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The module builds upon student knowledge covers research project design, data collection and data analysis. Students are introduced to a range of laboratory and field techniques in physical geography along with statistical analyses and presentation skills. They gain experience in describing and interpreting results derived from laboratory techniques concerned with reconstructing the depositional history of sediments, chemical analysis of sediments from a variety of sources and the simulation of geomorphological processes. Students are also introduced to dissertation research. The module culminates in a poster presentation (including short oral introduction to poster) on one of the projects they have undertaken.
This module provides students with the opportunity to demonstrate their competence as a Geographer by undertaking a critical analysis of a wide variety of literature-based sources in order to develop a cogent, substantial, and persuasive argument. While the Dissertation in Geography normally focuses on the design and execution of an evidenced-based research project that assesses the capacity of students to undertake effective data analysis and interpretation, the purpose of this module is to assess the extent to which students are capable of engaging with the academic literature at the frontier of a particular part of Geography. Students select from a wide range of research frontiers in Human and Physical Geography that have been identified by the academic staff within the Department. Given that this module emphasizes student-centred learning, none of the frontiers will have been covered in other modules, although in many cases modules will have taken students up to some of these frontiers. However, to orientate students and provide them with suitable points of departure and way-stations, there will be a brief introduction to each frontier and a short list of pivotal references disseminated via Blackboard. (Note: The topic selected by you must not overlap with the subject of your Dissertation. If there is any doubt about potential overlap, this must be discussed with your Dissertation Support Group supervisor and agreed in writing.)
This module will provide you with the scientific basis to understand the physical behaviour of glacier ice at spatial scales ranging from individual ice crystals to continental-scale glaciation. The module core topics will include glacier mass balance, transformation of snow to ice, glacier hydrology, dynamics, ice crystal structure and deformation, glacier sliding, deformation of glacial sediments, glacier flow instabilities and glacier surging. We will then introduce example topics of current research interest. You will have the opportunity to work in a small group on a guided research project. The module is assessed through an individual paper critique and ¿take-home¿ examination, as well as group presentation of your research project results at a poster-based mini-conference, and as a report. The research project work will normally be assigned a group mark, however, individual student¿s marks may be moderated based on self and peer assessment.
This module provides a comprehensive introduction to meteorology, weather, and atmospheric science. The emphasis is on the applied aspect of meteorology. However, as understanding of these is based on physical concepts, an excellent mathematical qualification (GCSE level) and physical background is a pre-requisite for a student attending this module. The module focuses on short timescales ranging from daily to seasonal. Meteorology is introduced as the study of weather and related phenomena. Methods of measuring the atmosphere and the interpretation of these measurements are fundamental to the subject, as are classifications and qualitative descriptions of atmospheric phenomena. The fundamental physics of the atmosphere (motion, moisture and radiation) are discussed. The central part of the module focuses on weather systems, both in the tropics and the mid-latitudes. Finally, the module covers small-scale phenomena (e.g. tornadoes), and boundary-layer processes. Weather forecasting is a theme which runs through the module, as much of the research in meteorology has been motivated by the desire to predict the weather. The relationship between measurements, models and forecasts is explored.