澳门六合彩开奖记录
GV1DEN: Data Environment
Module code: GV1DEN
Module provider: Geography and Environmental Science; School of Archaeology, Geography and Environmental Science
Credits: 20
Level: Level 1 (Certificate)
When you'll be taught: Semester 2
Module convenor: Professor Andrew Wade, email: a.j.wade@reading.ac.uk
Module co-convenor: Professor Tom Sizmur, email: t.sizmur@reading.ac.uk
Additional teaching staff 1: Dr Stuart Black, email: s.black@reading.ac.uk
Additional teaching staff 2: Professor Hong Yang, email: h.yang4@reading.ac.uk
Pre-requisite module(s):
Co-requisite module(s):
Pre-requisite or Co-requisite module(s):
Module(s) excluded:
Placement information: NA
Academic year: 2024/5
Available to visiting students: Yes
Talis reading list: Yes
Last updated: 20 May 2024
Overview
Module aims and purpose
The aim of this 20-credit module is to boost confidence in the use of maths and stats essential for environmental science. This module will introduce the everyday maths needed to help plan, organize and do field and lab work, and the subsequent data analysis and interpretation. Students will be taught about selected statistical packages, their advantages and disadvantages, and how to make good charts to better understand and present the data collected. The module will not go into the detailed maths behind the statistical techniques, rather the emphasis will be on how to select the most appropriate statistical technique for the task in hand, and then learning how to use available software packages to apply that technique successfully. Data will be drawn a range of environmental science case studies.聽
Module learning outcomes
By the end of the module, it is expected that students will be able to:聽
- Demonstrate, through practical use, an understanding of essential mathematical concepts and techniques to support further study in environmental science.聽
- Choose the most appropriate statistical technique for common data situations found in environmental science.聽
- Include the choice of statistical technique in the design of a research project.聽
- Manage, analyse and visualise data using common software packages and be able to present data in graphical format.聽
Module content
- Re-arranging equations and substitution聽
- Scientific prefixes, notation, orders of magnitude and logarithms聽
- Descriptive statistics and plotting data聽
- Preparation is the key to success: experimental design starts with stats聽
- Comparing the means of two distributions: the t-test聽
- Comparing the means of more than two distributions: ANOVA聽
- Correlation, linear relationships and trends聽
- Non-parametric statistics聽
- Multi-variate statistics聽
- Group project: research design that includes stats聽
- Group project: research design that includes stats聽
- Group project: research design that includes stats聽
Structure
Teaching and learning methods
Lecture based sessions to introduce the topics and case studies, followed up by computer-lab based practical-classes to use Excel and Minitab to make high-quality plots that are appropriate for the data, and to learn and use different statistical techniques.
The final two weeks will focus on a group project, written up individually, that includes statistical analysis in research design.
Study hours
At least 35 hours of scheduled teaching and learning activities will be delivered in person, with the remaining hours for scheduled and self-scheduled teaching and learning activities delivered either in person or online. You will receive further details about how these hours will be delivered before the start of the module.
聽Scheduled teaching and learning activities | 聽Semester 1 | 聽Semester 2 | 听厂耻尘尘别谤 |
---|---|---|---|
Lectures | 9 | ||
Seminars | |||
Tutorials | |||
Project Supervision | 10 | ||
Demonstrations | |||
Practical classes and workshops | 24 | ||
Supervised time in studio / workshop | |||
Scheduled revision sessions | 2 | ||
Feedback meetings with staff | |||
Fieldwork | |||
External visits | |||
Work-based learning | |||
聽Self-scheduled teaching and learning activities | 聽Semester 1 | 聽Semester 2 | 听厂耻尘尘别谤 |
---|---|---|---|
Directed viewing of video materials/screencasts | |||
Participation in discussion boards/other discussions | |||
Feedback meetings with staff | |||
Other | |||
Other (details) | |||
聽Placement and study abroad | 聽Semester 1 | 聽Semester 2 | 听厂耻尘尘别谤 |
---|---|---|---|
Placement | |||
Study abroad | |||
聽Independent study hours | 聽Semester 1 | 聽Semester 2 | 听厂耻尘尘别谤 |
---|---|---|---|
Independent study hours | 155 |
Please note the independent study hours above are notional numbers of hours; each student will approach studying in different ways. We would advise you to reflect on your learning and the number of hours you are allocating to these tasks.
Semester 1 The hours in this column may include hours during the Christmas holiday period.
Semester 2 The hours in this column may include hours during the Easter holiday period.
Summer The hours in this column will take place during the summer holidays and may be at the start and/or end of the module.
Assessment
Requirements for a pass
Students need to achieve an overall module mark of 40% to pass this module.
Summative assessment
Type of assessment | Detail of assessment | % contribution towards module mark | Size of assessment | Submission date | Additional information |
---|---|---|---|---|---|
In-class test administered by School/Dept | Online test | 30 | 1 hour | Each student will take one online multiple-choice test. A formative assessment, using the same set-up of on-line multiple-choice tests, will be used during the semester to prepare the students for this summative assessment. | |
Set exercise | Individual report | 70 | 1,500 words | Each student will write a short (1500 word maximum) project report. The report will describe the stages in a research project to choose and use and appropriate statistical test. The different stages will be considered in supervised sessions, with time allocated in these for the report preparation. |
Penalties for late submission of summative assessment
The Support Centres will apply the following penalties for work submitted late:
Assessments with numerical marks
- where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day (or part thereof) following the deadline up to a total of three working days;
- the mark awarded due to the imposition of the penalty shall not fall below the threshold pass mark, namely 40% in the case of modules at Levels 4-6 (i.e. undergraduate modules for Parts 1-3) and 50% in the case of Level 7 modules offered as part of an Integrated Masters or taught postgraduate degree programme;
- where the piece of work is awarded a mark below the threshold pass mark prior to any penalty being imposed, and is submitted up to three working days after the original deadline (or any formally agreed extension to the deadline), no penalty shall be imposed;
- where the piece of work is submitted more than three working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.
Assessments marked Pass/Fail
- where the piece of work is submitted within three working days of the deadline (or any formally agreed extension of the deadline): no penalty will be applied;
- where the piece of work is submitted more than three working days after the original deadline (or any formally agreed extension of the deadline): a grade of Fail will be awarded.
The University policy statement on penalties for late submission can be found at: /cqsd/-/media/project/functions/cqsd/documents/qap/penaltiesforlatesubmission.pdf
You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.
Formative assessment
Formative assessment is any task or activity which creates feedback (or feedforward) for you about your learning, but which does not contribute towards your overall module mark.
Formative on-line, multiple choice test.聽
Reassessment
Type of reassessment | Detail of reassessment | % contribution towards module mark | Size of reassessment | Submission date | Additional information |
---|---|---|---|---|---|
Set exercise | Individual report | 100 | 1,500 words | During the University resit period |
Additional costs
Item | Additional information | Cost |
---|---|---|
Computers and devices with a particular specification | ||
Printing and binding | ||
Required textbooks | ||
Specialist clothing, footwear, or headgear | ||
Specialist equipment or materials | ||
Travel, accommodation, and subsistence |
THE INFORMATION CONTAINED IN THIS MODULE DESCRIPTION DOES NOT FORM ANY PART OF A STUDENT'S CONTRACT.