Environmental data & analysis
Rhedir gan School of Ocean Sciences
20.000 Credydau neu 10.000 Credyd ECTS
Semester 1 a 2
Trefnydd: Dr Jennifer Shepperson
To develop in students an understanding of the fundamental skills required by natural scientists to measure, map and quantify the environment in which they work. This includes the key concepts of the scientific method, experimental design, mapping, basic mathematical manipulations, data visualisation, and statistical analysis and hypothesis testing. Students should become confident in the use of appropriate computer software (Excel, R and/or Matlab) to analyse environmental data.
This module provides students with the fundamental skills required by natural scientists to answer scientific questions with environmental data.
Theory is put into practice through computer sessions, to apply a range of data analysis techniques to environmental data. In the first semester students are introduced to the scientific method, how to describe samples numerically and graphically, and how to test hypotheses statistically to identify differences and relationships between variables.
In the second semester, as well as additional statistical theory and practical sessions, skills are applied in a subject specific project. In this project, students conduct a scientific investigation, including collecting and analysing data; the results of this data analysis are communicated in the style of a scientific report.
A threshold student should have a basic knowledge of the scientific method, have a basic ability to quantitatively manipulate datasets using a range of fundamental mathematical tools using appropriate computer software, and be able to use and interpret statistical tests.
A good student should competent at quantitatively manipulating datasets using a range of fundamental mathematical tools, have a good ability to interpret datasets and be able to confidently use and interpret statistical tests using appropriate computer software.
An excellent student should have a sophisticated knowledge of quantitatively manipulating datasets using a range of fundamental mathematical tools, have an advanced ability to interpret datasets and be highly skilled in the use and interpretation of statistical tests using appropriate computer software.
Identify and explain the most appropriate strategy for analysing data, including recognising the assumptions and limitations of each approach.
Produce simple maps to communicate scientific methods or findings.
Communicate the results of scientific investigations and data analysis in the style of a scientific report.
Manipulate, summarise, visualise, and analyse data using Excel and R computer software.
Numerically and graphically summarise data to communicate key scientific results.
Explain hypothetico-deductive reasoning, and formulate testable hypotheses.
Apply inferential statistical tests to data to test a hypothesis, to investigate differences or relationships, interpreting the results in the context of the subject specific research question.
Report numerical values to an appropriate level of precision, and use appropriate units of measurement.
Plan and conduct a simple scientific investigation with appropriate regard to design and analysis issues.
|PRAWF DOSBARTH||BB_Test_1 - Scientific method and describing samples||20.00|
|PRAWF DOSBARTH||BB_Test_2 - Data analysis and hypothesis testing||30.00|
Strategaeth addysgu a dysgu
Independent study groups to facilitate peer learning.
Fieldwork activity to collect data to map and measure the environment, and collect scientific data
Approx. 5 hours per week each semester. Private self-study utilising directed reading materials and reinforcement of lecture, workshop, and project materials.
Timetabled support for the online computer practicals, with lecturer and demonstrators available to assist.
Supervised data collection, analysis and write-up of a subject specific project.
Directed learning materials, including video lectures and short tasks.
Online computer practical resources. One information pack per week, including computer practical handouts and tutorial videos
Online Q&A sessions, where further explanation and clarification are provided about the weeks lecture and practical material.
- Llythrennedd - Medrusrwydd mewn darllen ac ysgrifennu drwy amrywiaeth o gyfryngau
- Rhifedd - Medrusrwydd wrth ddefnyddio rhifau ar lefelau priodol o gywirdeb
- Defnyddio cyfrifiaduron - Medrusrwydd wrth ddefnyddio ystod o feddalwedd cyfrifiadurol
- Hunanreolaeth - Gallu gweithio mewn ffordd effeithlon, prydlon a threfnus. Gallu edrych ar ganlyniadau tasgau a digwyddiadau, a barnu lefelau o ansawdd a phwysigrwydd
- Archwilio - Gallu ymchwilio ac ystyried dewisiadau eraill
- Adalw gwybodaeth - Gallu mynd at wahanol ac amrywiol ffynonellau gwybodaeth
- Sgiliau Rhyngbersonol - Gallu gofyn cwestiynau, gwrando'n astud ar atebion a'u harchwilio
- Dadansoddi Beirniadol & Datrys Problem - Gallu dadelfennu a dadansoddi problemau neu sefyllfaoedd cymhleth. Gallu canfod atebion i broblemau drwy ddadansoddiadau ac archwilio posibiliadau
- Ymwybyddiaeth o ddiogelwch - Bod yn ymwybodol o'ch amgylchedd a hyder o ran cadw at reoliadau iechyd a diogelwch
- Cyflwyniad - Gallu cyflwyno gwybodaeth ac esboniadau yn glir i gynulleidfa. Trwy gyfryngau ysgrifenedig neu ar lafar yn glir a hyderus.
- Gwaith Tîm - Gallu cydweithio'n adeiladol ag eraill ar dasg gyffredin, ac/neu fod yn rhan o dîm gweithio o ddydd i ddydd
- Dadl - Gallu cyflwyno, trafod a chyfiawnhau barn neu lwybr gweithredu, naill ai gydag unigolyn neu mewn grwˆp ehangach
- Hunanymwybyddiaeth & Ystyried - Bod yn ymwybodol o'ch cryfderau, gwendidau, nodau ac amcanion eich hun. Gallu adolygu ,cloriannu a myfyrio'n rheolaidd ar eich perfformiad eich hun ac eraill.
Rhestrau Darllen Bangor (Talis)http://readinglists.bangor.ac.uk/modules/ons-1001.html
Rhagofynion a Chydofynion
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