CEG2609 : Research Methods in Environmental Pollution
- Offered for Year: 2020/21
- Module Leader(s): Dr Shannon Flynn
- Lecturer: Dr Martin Cooke, Dr Simon Peacock
- Owning School: Natural and Environmental Sciences
- Teaching Location: Newcastle City Campus
Semesters
| Semester 1 Credit Value: | 20 |
| ECTS Credits: | 10.0 |
Aims
This module will introduce the theoretical and practical aspects of environmental pollution analysis. The aim is to enable students to develop their knowledge and understanding of the principles and theory of environmental pollution analysis, the selection of approapreate instrumental (such as ICP-OES, ICP-MS, Ion-Chromatography) and to provide a training on assessing data quality and interpretation.
Outline Of Syllabus
The lectures in this module introduce the theoretical and practical aspects of the sampling of environmental media such as water, soil and sediment. A review of basic chemistry, both organic and inorganic, is taught at the start of the module to ensure that all students have sufficient chemical knowledge to complete the module. Basic analytical concepts are covered, with particular emphasis on the monitoring and interpretation of data quality. Lastly, the operation of analytical techniques such as ICP-OES, ICP-MS, and Ion-Chromatography are explained, along with the shortcomings of each approach. Field sampling of soils, along with step by step walk throughs of sample preparation and analysis, interactive discussion and data analysis practicals will allow students to understand the principles of environmental monitoring from sample collection to data analysis and preparing them for their dissertation and potential careers in which either environmental sampling or data analysis is required. Data interpretation and data quality will be the focus of the synchronous computer practicals.
Teaching Methods
Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Structured Guided Learning | Lecture materials | 18 | 1:00 | 18:00 | Online - A combination of short recordings of lecture material and guided reading |
| Guided Independent Study | Assessment preparation and completion | 2 | 6:00 | 12:00 | take home problem sets |
| Guided Independent Study | Assessment preparation and completion | 1 | 40:00 | 40:00 | Data analysis and poster preparation all semester and on going |
| Scheduled Learning And Teaching Activities | Practical | 4 | 3:00 | 12:00 | PiP - Data analysis Practicals class |
| Scheduled Learning And Teaching Activities | Small group teaching | 2 | 1:00 | 2:00 | Chemistry and Factor Labelling Workshops |
| Scheduled Learning And Teaching Activities | Small group teaching | 1 | 3:00 | 3:00 | Present posters |
| Scheduled Learning And Teaching Activities | Workshops | 1 | 3:00 | 3:00 | PiP - Standard preparation and sample dilutions |
| Guided Independent Study | Reflective learning activity | 18 | 2:00 | 36:00 | lecture, workshop and practical review and follow-up |
| Guided Independent Study | Independent study | 1 | 74:00 | 74:00 | Includes background reading and reading lecture notes for full understanding of material. |
| Total | 200:00 |
Teaching Rationale And Relationship
Specialist knowledge and understanding are primarily imparted via lecture classes, supported by computer-hosted reference materials. Subject specific skills are taught through video tutorial soil sampling techniques, guided step-by-step sample preparation demonstrations, and synchronous data analysis practicals. Students are encouraged and expected to learn through independent reading and subsequent reflection. They are supported in this by the provision of a module specific reading list. Practical skills are learnt by active participation in synchronous data analysis practicals. Key skills are practiced during soil sampling and data quality and analysis practicals, and in the communication of the results of the study.
Assessment Methods
Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.
The format of resits will be determined by the Board of Examiners
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Poster | 1 | M | 80 | Poster presenting analysis of 5 soil samples and peer grading of 5 peer posters |
| Written exercise | 1 | M | 20 | 2 problem sets (each worth 10%) |
Assessment Rationale And Relationship
In class tests will examine the progress of the students in developing the skill to calculate solution concentrations, prepare standards, calculate alkalinity, and determine the quality of data before applying it to their reports.
The specialist skills, knowledge and understanding imparted during this module will then be assessed in a cumulative essay based on the data collected throughout the term. Data are collected and analysed by groups during the field trip and throughout the term in lab and then assessed by an individual report on this work.
The report tests the students' ability to analyse, interpret and present data appropriately for a technical report.
Reading Lists
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- CEG2609's Timetable