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Mae'r modiwl yma yn ystyried pwysigrwydd astudio data ystadegol ym meysydd Dynol a Ffisegol Daearyddiaeth. Trafodwyd ystod o ddulliau ystadegol, a defnyddiwyd enghreifftiau ymarferol a syniadau cysyniadol i egluro eu defnydd. Rhoddwyd pwyslais arbennig ar osod y technegau hyn o fewn cyd-destun ymchwil Daearyddol ehangach. Defnyddiwyd meddalwedd ystadegol pwerus yn y sesiynau cyfrifiadurol ymarferol, sy'n cydymffurfio a safonau diwydiannol. Yn ogystal i ystadegau, mae'r modiwl hefyd yn cyflwyno myfyrwyr i gyflwyno a dadansoddi data gan ddefnyddio Systemau Wybodaeth Ddaearyddol ('GIS'), ac yn rhoi trosolwg o'r testun gydag enghreifftiau ymarferol. This module examines the importance of statistical data analysis in quantitative research in both Human and Physical Geography. A range of statistical methods with wide application are discussed, using theoretical explanation and practical examples to illustrate their use. Particular importance is given to placing these techniques within the broader context of Geographical research. Powerful, industry-standard statistical analysis software is used in the computer practical sessions. In addition to statistics, the module also introduces students to the presentation and analysis of data using Geographical Information Systems (GIS), giving an overview of this topic, illustrated with practical examples.
This module introduces the growing role of Earth Observation in Geography, in the context of monitoring global environmental change. Emphasis will be given to practical use of airborne and satellite imagery in a range of geographical applications. In addition to a grounding in the principles of remote sensing, the course will offer in-depth understanding of the use of satellite observations in the study of global change in particular of deforestation and desertification. Practical exercises will teach image processing skills and familiarity with the range of information sources available for remotely sensed imagery.
The module covers research project design, data collection and some aspects of data analysis. Students are introduced to a range of laboratory and field techniques in physical geography. They gain experience in describing and interpreting results derived from laboratory techniques concerned with reconstructing the depositional history of sediments, chemical analysis of water and sediment from a variety of sources and the simulation of geomorphological processes.
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.
The module prepares students for their independent research dissertation through dissertation fairs, lectures and a series of tutorials focusing upon the formulation and construction of a research proposal. The module also includes three lectures which explore career opportunities for Geography graduates and skills to enhance graduate employability.
The dissertation is an original, substantive and independent research project in an aspect of Geography. It is typically based on approximately 20 - 25 days of primary research and several weeks of analysis and write-up. The end result must be less than 10,000 words of text. The dissertation offers you the chance to follow your personal interests and to demonstrate your capabilities as a Geographer. During the course of your dissertation you will be supported by a student-led discussion group and a staff supervisor, and you will also provide constructive criticism to fellow students undertaking related research projects, learning from their research problems and subsequent solutions. This support and supervision is delivered through the 'Dissertation Support' module, which is a co-requisite.
This module provides structured, student-led peer-group support and academic staff group supervision for students undertaking the 30-credit 'Dissertation Report: Geography' module. This support and supervision is assessed through the submission of a PowerPoint Poster in TB1 and the submission in TB2 of an individually composed, critical and reflective log of the 5 dissertation peer-group meetings and the 4 group supervisory meetings (with a verified record of attendance at meetings). Working within a supervised Student Peer Group, you will also have the opportunity to provide constructive criticism to fellow students undertaking related research projects, learning from their research problems and subsequent solutions. This module complements the 'Dissertation Report: Geography' module, which is a co-requisite.
An understanding of the environment is increasingly important in many areas, e.g. industry, agriculture, conservation, health, science, and planning. This module introduces computational modelling in a geographical context. It aims to develop thinking about environmental issues within a modelling framework, and to develop practical skills in developing and using computational models, and in computer data analysis and visualisation. Examples are focused on solving practical scientific problems in environmental dynamics and climate change, focussing on modelling the terrestrial carbon and hydrological cycles.
This module aims to explain and understand past, present and potential future changes in the Earth's climate and environment. It provides a broad approach to environmental processes and dynamics operating on land, in the oceans and in the atmosphere on a global and regional scale. Emphasis is placed on the evidence available for reconstructing past environmental dynamics, the implications for present-day processes, future predictions and likely impacts.